Repository navigation
Expand file tree
/
Copy pathreferences.bib
More file actions
2326 lines (2118 loc) · 99.8 KB
/
Copy pathreferences.bib
File metadata and controls
2326 lines (2118 loc) · 99.8 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
@book{fahrmeir2013regression,
author = {Fahrmeir, Ludwig and Kneib, Thomas and Lang, Stefan and Marx, Brian},
title = {Regression: Models, Methods and Applications},
publisher = {Springer},
groups = {Machine Learning},
year = {2013}
}
@online{urbanobservatory2021,
author = {{Newcastle University}},
title = {Urban Observatory},
url = {https://urbanobservatory.ac.uk/who-we-are},
groups = {Services},
year = {2021}
}
@article{wang2019deep,
author = {Wang, Senzhang and Cao, Jiannong and Yu, Philip S.},
title = {Deep Learning for Spatio-Temporal Data Mining: A Survey},
doi = {10.1109/tkde.2020.3025580},
pages = {1--1},
url = {https://arxiv.org/abs/1906.04928v2},
arxivid = {1906.04928},
file = {:Deep Learning for Spatio-Temporal Data Mining- A Survey.pdf:PDF},
groups = {Machine Learning, Big Data, Spatiotemporal},
journal = {IEEE Transactions on Knowledge and Data Engineering},
keywords = {Index Terms-Deep learning, Spatio-temporal data, data min-ing},
month = jun,
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
year = {2019}
}
@article{kong2020huad,
author = {Kong, Xiangjie and Gao, Haoran and Alfarraj, Osama and Ni, Qichao and Zheng, Chaofan and Shen, Guojiang},
title = {{HUAD: Hierarchical Urban Anomaly Detection Based on Spatio-Temporal Data}},
doi = {10.1109/access.2020.2971341},
pages = {26573--26582},
volume = {8},
groups = {Spatiotemporal},
journal = {IEEE Access},
keywords = {Spatio-temporal data fusion, Traffic flow prediction, Urban anomaly detection},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
year = {2020}
}
@article{anjomshoaa2018cityscanner,
author = {Amin Anjomshoaa and Fabio Duarte and Dani and Daniel Rennings and Thomas Matarazzo and Priyanka deSouza and Carlo Ratti},
title = {City Scanner: Building and Scheduling a Mobile Sensing Platform for Smart City Services},
groups = {Other},
journal = {Internet of Things},
publisher = {IEEE},
year = {2018}
}
@inproceedings{gao2017identifying,
author = {Qiang Gao and Fan Zhou and Kunpeng Zhang and Goce Trajcevski and Xucheng Luo and Fengli Zhang},
booktitle = {Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence},
title = {Identifying Human Mobility via Trajectory Embeddings},
doi = {10.24963/ijcai.2017/234},
address = {Melbourne, Australia},
groups = {Spatiotemporal},
year = {2017}
}
@inproceedings{yi2019traffic,
author = {Yi, Hongsuk and Bui, Khac-Hoai Nam and Jung, Heejin},
booktitle = {Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics},
title = {Implementing A Deep Learning Framework for Short Term Traffic Flow Prediction},
doi = {10.1145/3326467.3326492},
location = {Seoul, Republic of Korea},
publisher = {Association for Computing Machinery},
series = {WIMS2019},
address = {New York, NY, USA},
articleno = {7},
file = {:Implementing A Deep Learning Framework for Short Term Traffic Flow Prediction.pdf:PDF},
groups = {Transportation, Machine Learning},
keywords = {deep learning, intelligent transportation system, highway systems, traffic prediction, long-short term memory},
numpages = {8},
year = {2019}
}
@online{columbia2019spatiotemporal,
author = {Columbia, University},
title = {Spatiotemporal Analysis},
url = {https://www.publichealth.columbia.edu/research/population-health-methods/spatiotemporal-analysis},
organization = {Mailman School of Public Health, Columbia University},
groups = {Spatiotemporal},
year = {2019}
}
@article{tang2019st-lstm,
author = {Tang, Qicheng and Yang, Mengning and Yang, Ying},
title = {ST-LSTM: A Deep Learning Approach Combined Spatio-Temporal Features for Short-Term Forecast in Rail Transit},
doi = {10.1155/2019/8392592},
file = {:ST-LSTM - A Deep Learning Approach Combined Spatio-Temporal Features for Short-Term Forecast in Rail Transit.pdf:PDF},
groups = {Transportation, LSTM, Spatiotemporal},
journal = {Journal of Advanced Transportation},
year = {2019}
}
@phdthesis{coto2017sintesis,
author = {Marvin Coto-Jiménez},
title = {Síntesis de voz basada en modelos ocultos de Markov y algoritmos de aprendizaje profundo},
file = {:Síntesis de voz basada en modelos ocultos de Markov y algoritmos de aprendizaje profundo.pdf:PDF},
groups = {Big Data},
month = nov,
school = {Universidad Autónoma Metropolitana – Iztapalapa (México)},
year = {2017}
}
@inbook{chizi2005dimension,
author = {Chizi, Barak and Maimon, Oded},
booktitle = {Data Mining and Knowledge Discovery Handbook},
title = {Dimension Reduction and Feature Selection},
doi = {10.1007/978-0-387-09823-4_5},
editor = {Maimon, Oded and Rokach, Lior},
pages = {93--111},
publisher = {Springer US},
address = {Boston, MA},
groups = {Big Data},
year = {2005}
}
@article{mahdavinejad2018machine,
author = {Mahdavinejad, Mohammad Saeid and Rezvan, Mohammadreza and Barekatain, Mohammadamin and Adibi, Peyman and Barnaghi, Payam and Sheth, Amit P},
title = {Machine learning for Internet of Things data analysis: a survey},
doi = {10.1016/j.dcan.2017.10.002},
number = {3},
pages = {161--175},
volume = {4},
file = {:Machine learning for internet of things data analysis - a survey.pdf:PDF},
groups = {Machine Learning},
journal = {Digital Communications and Networks},
publisher = {Elsevier},
year = {2018}
}
@article{ullah2020applications,
author = {Ullah, Zaib and Al-Turjman, Fadi and Mostarda, Leonardo and Gagliardi, Roberto},
title = {Applications of artificial intelligence and machine learning in smart cities},
doi = {10.1016/j.comcom.2020.02.069},
pages = {313--323},
volume = {154},
file = {:Applications of Artificial Intelligence and Machine learning in smart cities.pdf:PDF},
groups = {Machine Learning},
journal = {Computer Communications},
publisher = {Elsevier},
year = {2020}
}
@book{rebala2019introduction,
author = {Rebala, Gopinath and Ravi, Ajay and Churiwala, Sanjay},
title = {An Introduction to Machine Learning},
doi = {10.1007/978-3-030-15729-6},
publisher = {Springer},
file = {:An Introduction to Machine Learning.pdf:PDF},
groups = {Machine Learning},
year = {2019}
}
@book{beran2018mathematical,
author = {Beran, Jan},
title = {Mathematical foundations of time series analysis: a concise introduction},
publisher = {Springer},
file = {:Mathematical Foundations of Time Series Analysis.pdf:PDF},
groups = {Time series},
year = {2018}
}
@article{lv2021intelligent,
author = {Lv, Zhihan and Chen, Dongliang and Lou, Ranran and Wang, Qingjun},
title = {Intelligent edge computing based on machine learning for smart city},
doi = {10.1016/j.future.2020.08.037},
pages = {90--99},
volume = {115},
file = {:Intelligent edge computing based on machine learning for smart city.pdf:PDF},
groups = {Machine Learning},
journal = {Future Generation Computer Systems},
publisher = {Elsevier},
year = {2021}
}
@article{allam2019big,
author = {Allam, Zaheer and Dhunny, Zaynah A},
title = {On big data, artificial intelligence and smart cities},
doi = {10.1016/j.cities.2019.01.032},
pages = {80--91},
volume = {89},
groups = {Data},
journal = {Cities},
publisher = {Elsevier},
year = {2019}
}
@article{ueda2018spatio,
author = {Naonori Ueda and Futoshi Naya},
title = {Spatio-temporal multidimensional collective data analysis for providing comfortable living anytime and anywhere},
doi = {10.1017/atsip.2018.4},
volume = {7},
file = {:Spatio-temporal multidimensional collective data analysis.pdf:PDF},
groups = {Spatiotemporal, Big Data},
journal = {{APSIPA} Transactions on Signal and Information Processing},
publisher = {Cambridge University Press ({CUP})},
year = {2018}
}
@article{vinuesa2020role,
author = {Ricardo Vinuesa and Hossein Azizpour and Iolanda Leite and Madeline Balaam and Virginia Dignum and Sami Domisch and Anna Felländer and Simone Daniela Langhans and Max Tegmark and Francesco Fuso Nerini},
title = {The role of artificial intelligence in achieving the Sustainable Development Goals},
doi = {10.1038/s41467-019-14108-y},
number = {1},
volume = {11},
groups = {Machine Learning},
journal = {Nature Communications},
month = {jan},
publisher = {Springer Science and Business Media {LLC}},
year = {2020}
}
@article{atluri2018spatiotemporal,
author = {Gowtham Atluri and Anuj Karpatne and Vipin Kumar},
title = {Spatio-Temporal Data Mining},
doi = {10.1145/3161602},
number = {4},
pages = {1--41},
volume = {51},
file = {:Spatio-Temporal Data Mining\: A Survey of Problems and Methods.pdf:PDF},
groups = {Spatiotemporal, Big Data},
journal = {{ACM} Computing Surveys},
month = {sep},
publisher = {Association for Computing Machinery ({ACM})},
year = {2018}
}
@article{roelofs2021automatically,
author = {Roelofs, MN and Vos, Roelof},
title = {Automatically inferring technology compatibility with an ontology and graph rewriting rules},
doi = {10.1080/09544828.2020.1860202},
number = {2},
pages = {90--114},
volume = {32},
file = {:Automatically inferring technology compatibility with an ontology and graph rewriting rules.pdf:PDF},
groups = {Technologies, Ontologies},
journal = {Journal of Engineering Design},
publisher = {Taylor \& Francis},
year = {2021}
}
@video{smith2021introduction,
author = {Barry Smith},
groups = {Ontologies},
organization = {University of Buffalo},
title = {Introduction to Basic Formal Ontology},
url = {https://youtu.be/p0buEjR3t8A},
year = {2019}
}
@book{ashby2015introduction,
author = {Ashby, William Ross},
date = {2015},
title = {An Introduction to Cybernetics},
doi = {10.5962/bhl.title.5851},
isbn = {9781614277651},
location = {Mansfield Centre, CT},
publisher = {Martino Publishing},
groups = {Cybernetics}
}
@techreport{kitchenham2007guidelines,
author = {Barbara Kitchenham and Stuart Charters},
date = {2007},
institution = {Keele University, University of Durham},
title = {Guidelines for performing systematic literature reviews in software engineering},
abstract = {The objective of this report is to propose comprehensive guidelines for systematic iterature reviews appropriate for software engineering researchers, including PhD tudents. A systematic literature review is a means of evaluating and interpreting all vailable research relevant to a particular research question, topic area, or henomenon of interest. Systematic reviews aim to present a fair evaluation of a esearch topic by using a trustworthy, rigorous, and auditable methodology.},
file = {:Guidelines for performing Systematic Literature Reviews in Software Engineering.pdf:PDF},
groups = {Other}
}
@techreport{cnda2020guia,
author = {{Comisión Nacional de Datos Abiertos}},
date = {2020},
institution = {Ministerio de Comunicación, Gobierno de Costa Rica},
title = {Guía Nacional para la Publicación de Datos Abiertos},
abstract = {La Guía Nacional para la Publicación de Datos Abiertos es el instrumento que define las pautas a seguir por las instituciones públicas y por los equipos institucionales de datos abiertos a fin de cumplir lo establecido en el Decreto 40199-MP Apertura de Datos Públicos. En dicha regulación, se indican las etapas que conforman el proceso de apertura de datos. Asimismo, se establece que las especificaciones técnicas y los estándares para ejecutar de forma normalizada el proceso serán definidos en esta guía. De manera general, este documento proporciona orientaciones y buenas prácticas para el desarrollo de estrategias y procesos de apertura y reutilización de datos abiertos, que estén orientadas a la generación de valor en lo económico, social, político, cultural y ambiental, en los distintos ámbitos de la sociedad.},
file = {:Guía Nacional para la Publicación de Datos Abiertos.pdf:PDF},
groups = {Data}
}
@book{davies2019state,
date = {2019},
title = {The State of Open Data: Histories and Horizons},
doi = {10.47622/9781928331957},
editor = {Tim Davies and Stephen B. Walker and Mor Rubinstein and Fernando Perini},
isbn = {9781928331957},
publisher = {African Minds and International Development Research Centre},
url = {https://stateofopendata.od4d.net/},
file = {:The State of Open Data.pdf:PDF},
groups = {Data}
}
@article{bittner2009spatio,
author = {Bittner, Thomas and Donnelly, Maureen and Smith, Barry},
date = {2009},
journaltitle = {International Journal of Geographical Information Science},
title = {A spatio-temporal ontology for geographic information integration},
doi = {10.1080/13658810701776767},
number = {6},
pages = {765--798},
volume = {23},
groups = {Ontologies, Spatiotemporal},
publisher = {Taylor \& Francis}
}
@incollection{costa2020towards,
author = {Simone Dornelas Costa and Monalessa Perini Barcellos and Ricardo de Almeida Falbo and Murillo Vasconcelos Henriques Bitte Castro},
booktitle = {Conceptual Modeling},
date = {2020},
title = {Towards an Ontology Network on Human-Computer Interaction},
doi = {10.1007/978-3-030-62522-1_24},
pages = {331--341},
publisher = {Springer International Publishing},
file = {:Towards an Ontology Network on Human-Computer Interaction.pdf:PDF},
groups = {Ontologies},
readstatus = {read}
}
@book{penin2018introduction,
author = {Penin, Lara},
date = {2018},
title = {An introduction to service design: designing the invisible},
publisher = {Bloomsbury Publishing},
groups = {Services}
}
@article{ceder2020urban,
author = {Avishai Ceder},
date = {2020-07},
journaltitle = {International Journal of Urban Sciences},
title = {Urban mobility and public transport: future perspectives and review},
doi = {10.1080/12265934.2020.1799846},
pages = {1--25},
file = {:Urban mobility and public transport future perspectives and review.pdf:PDF},
groups = {Transportation},
publisher = {Informa {UK} Limited}
}
@techreport{hickman2017automobile,
author = {Robin Hickman and Duncan Smith and Daniel Moser and Claudius Schaufler and Giacomo Vecia},
date = {2017},
institution = {Greenpeace},
title = {Why the automobile has no future: a global impact analysis},
file = {:Why the automobile has no future.pdf:PDF},
groups = {Transportation},
readstatus = {skimmed}
}
@article{zantalis2019review,
author = {Zantalis, Fotios and Koulouras, Grigorios and Karabetsos, Sotiris and Kandris, Dionisis},
date = {2019},
journaltitle = {Future Internet},
title = {A review of machine learning and IoT in smart transportation},
doi = {10.3390/fi11040094},
number = {4},
pages = {94},
volume = {11},
file = {:A Review of Machine Learning and IoT in Smart Transportation.pdf:PDF},
groups = {Transportation, IPTS},
publisher = {Multidisciplinary Digital Publishing Institute}
}
@techreport{schneider2013quality,
author = {Ingrid Schneider and Tian Guo and Sierra Schroeder},
date = {2013},
institution = {Minnesota Department of Transportation},
title = {Quality of Life: Assessment for Transportation Performance Measures},
file = {:Quality of Life - Assessment for Transportation Performance Measures.pdf:PDF},
groups = {Transportation},
keywords = {Access, Mobility, Safety, Maintenance, Design, Communications, Planning, Transparency, Focus groups, Questionnaires, Segmentation, Factor analysis, Bicycling, Pedestrians, Active transportation, Transportation satisfaction}
}
@techreport{mopt2020sitgam,
author = {{Secretaría de Planificación Sectorial}},
date = {2020},
institution = {Ministerio de Obras Públicas y Transportes},
title = {Programa para un Sistema Integrado de Transporte Público Masivo para la GAM (SITGAM 2020 - 2035)},
file = {:Programa para un Sistema Integrado de Transporte Público Masivo para la GAM.pdf:PDF},
groups = {Transportation, Costa Rica}
}
@techreport{mopt2017politica,
author = {{Ministerio de Obras Públicas y Transportes}},
date = {2017},
institution = {Ministerio de Obras Públicas y Transportes},
title = {Política Sectorial de Modernización del Transporte Público Remunerado de Personas Modalidad Autobús},
file = {:Política Sectorial de Modernización del Transporte Público Remunerado de Personas Modalidad Autobús.pdf:PDF},
groups = {Transportation, Costa Rica}
}
@article{zhu2019big,
author = {Li Zhu and Fei Richard Yu and Yige Wang and Bin Ning and Tao Tang},
date = {2019-01},
journaltitle = {IEEE Transactions on Intelligent Transportation Systems},
title = {Big Data Analytics in Intelligent Transportation Systems: A Survey},
doi = {10.1109/tits.2018.2815678},
number = {1},
pages = {383--398},
volume = {20},
file = {:Big Data Analytics in Intelligent Transportation Systems - A Survey.pdf:PDF},
groups = {Transportation, IPTS, Big Data},
publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}
}
@article{oliveira2013transportation,
author = {K{\'{a}}thia Mar{\c{c}}al de Oliveira and Firas Bacha and Houda Mnasser and Mourad Abed},
date = {2013-06},
journaltitle = {Expert Systems with Applications},
title = {Transportation ontology definition and application for the content personalization of user interfaces},
doi = {10.1016/j.eswa.2012.12.028},
number = {8},
pages = {3145--3159},
volume = {40},
file = {:Transportation ontology definition and application for the content personalization of user interfaces.pdf:PDF},
groups = {Transportation},
keywords = {Ontology, User interface, Human-computer interaction, Model-driven architecture, Transportation},
publisher = {Elsevier {BV}}
}
@article{fernandez2016ontology,
author = {Fernandez, Susel and Hadfi, Rafik and Ito, Takayuki and Marsa-Maestre, Ivan and Velasco, Juan R},
date = {2016},
journaltitle = {Sensors},
title = {Ontology-based architecture for intelligent transportation systems using a traffic sensor network},
doi = {10.3390/s16081287},
number = {8},
pages = {1287},
volume = {16},
file = {:Ontology-based architecture for intelligent transportation systems using a traffic sensor network.pdf:PDF},
groups = {Ontologies, Transportation},
keywords = {intelligent transportation systems, ontology, reasoning, agents, sensor networks},
publisher = {Multidisciplinary Digital Publishing Institute}
}
@techreport{sae2021taxonomy,
author = {{SAE Executive Standards Committee}},
date = {2021},
institution = {{SAE Executive Standards Committee}},
title = {J3216 Taxonomy and Definitions for Terms Related to Cooperative Driving Automation for On-Road Motor Vehicles},
abstract = {This document describes machine-to-machine (M2M) communication to enable cooperation between two or more participating entities or communication devices possessed or controlled by those entities. The cooperation supports or enables performance of the dynamic driving task (DDT) for a subject vehicle with driving automation feature(s) engaged. Other participants may include other vehicles with driving automation feature(s) engaged, shared road users (e.g., drivers of manually operated vehicles or pedestrians or cyclists carrying personal devices), or road operators (e.g., those who maintain or operate traffic signals or workzones).},
file = {:J3216.pdf:PDF},
groups = {Transportation}
}
@article{fernandez2017semantic,
author = {Susel Fernández and Takayuki Ito},
date = {2017},
journaltitle = {IEICE Transactions on Information and Systems},
title = {Semantic Integration of Sensor Data with {SSN} Ontology in a Multi-Agent Architecture for Intelligent Transportation Systems},
doi = {10.1587/transinf.2016agp0005},
number = {12},
pages = {2915--2922},
volume = {E100.D},
file = {:Semantic Integration of Sensor Data with SSN Ontology in a Multi-Agent Architecture for Intelligent Transportation Systems.pdf:PDF},
groups = {Ontologies, Transportation},
publisher = {Institute of Electronics, Information and Communications Engineers ({IEICE})}
}
@online{emmc2021emmo,
author = {{European Materials Modelling Council}},
date = {2021-10-21},
title = {EMMO: an Ontology for Applied Sciences},
url = {https://emmc.info/emmo-info/},
groups = {Ontologies}
}
@online{w3c2017ssn,
author = {W3C},
date = {2017-10-19},
editor = {Armin Haller and Krzysztof Janowicz and Simon Cox and Danh Le Phuoc and Kerry Taylor and Maxime Lefrançois},
title = {Semantic Sensor Network Ontology},
url = {https://www.w3.org/TR/vocab-ssn/},
abstract = {The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN and SOSA are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. Both ontologies are described below, and examples of their usage are given.},
groups = {Ontologies}
}
@report{wonderweb2003dolce,
author = {Claudio Masolo and Stefano Borgo and Aldo Gangemi and Nicola Guarino and Alessandro Oltramari},
date = {2003-12-31},
institution = {Laboratory For Applied Ontology - ISTC-CNR},
title = {DOLCE: WonderWeb Deliverable D18 Ontology Library},
type = {resreport},
file = {:DOLCE Ontology.pdf:PDF},
groups = {Ontologies}
}
@article{guarino2017bfo,
author = {Nicola Guarino},
date = {2017},
journaltitle = {Cosmos + Taxis},
title = {BFO and DOLCE: So Far, So Close},
number = {4},
pages = {10--18},
volume = {4},
file = {:BFO and DOLCE - So Far, So Close.pdf:PDF},
groups = {Ontologies}
}
@article{schmidt2019recurrent,
author = {Robin Schmidt},
date = {2019},
journaltitle = {arXiv preprint arXiv:1912.05911},
title = {Recurrent Neural Networks (RNNs): A gentle Introduction and Overview},
doi = {https://doi.org/10.48550/arXiv.1912.05911},
file = {:Recurrent Neural Networks (RNN) - A gentle Introduction and Overview.pdf:PDF},
groups = {Machine Learning}
}
@techreport{optp2017public,
author = {{Oregon Public Transportation Plan}},
date = {2017},
institution = {Oregon Department of Transportation},
title = {Public Transportation Technology: White Paper},
url = {https://www.oregon.gov/ODOT/Planning/Documents/OPTP-Public-Transportation-Technology.pdf},
file = {:Public Transportation Technology .pdf:PDF},
groups = {Transportation, IPTS}
}
@techreport{cgr2019integracion,
author = {{Contraloría General de la República de Costa Rica}},
date = {2019-11-26},
institution = {{Contraloría General de la República de Costa Rica}},
title = {Informe de auditoría operativa sobre la eficacia en la integración operacional y física de los servicios de transporte público y su contribución a la eficiencia del servicio},
number = {DFOE-IFR-IF-00012-2019},
url = {https://cgrfiles.cgr.go.cr/publico/docs_cgr/2019/SIGYD_D_2019021438.pdf},
file = {:Informe de auditoría operativa sobre la eficacia en la integración operacional y física de los servicios de transporte público y su contribución a la eficiencia del servicio.pdf:PDF},
groups = {Costa Rica, Transportation}
}
@misc{mopt2017convenio,
author = {{Ministerio de Obras Públicas y Transportes}},
date = {2017-02-02},
title = {Convenio de cooperación para el desarrollo del proyecto Sistema de Pago Electrónico en el Transporte Público},
url = {https://www.bccr.fi.cr/sistema-de-pagos/DocTransportePublico/ConvenioTP.pdf},
file = {:Convenio de cooperación para el desarrollo del proyecto Sistema de Pago Electrónico en el Transporte Público.pdf:PDF},
groups = {Transportation, Technologies, Costa Rica}
}
@techreport{mopt2021diseno,
author = {{L.C.R. Logística}},
date = {2021-02-01},
institution = {{Ministerio de Obras Públicas y Transportes}},
title = {Diseño operativo del transporte público urbano en el área metropolitana de San José},
file = {:Diseño Operativo del Transporte Público Urbano en el Área Metropolitana de San José.pdf:PDF},
groups = {Costa Rica}
}
@techreport{dcc2021portafolio,
author = {{Dirección de Cambio Climático}},
date = {2021},
institution = {Ministerio de Ambiente y Energía de Costa Rica},
title = {Portafolio de Acciones de Mitigación de Emisiones de Gases de Efecto Invernadero a Escala Cantonal de Costa Rica - Tema: Movilidad Sostenible y Eléctrica},
type = {techreport},
file = {:Portafolio de Acciones de Mitigación de Emisiones de Gases de Efecto Invernadero a Escala Cantonal de Costa Rica - Tema Movilidad Sostenible y Eléctrica.pdf:PDF},
groups = {Costa Rica}
}
@online{gluhak2021why,
author = {Alex Gluhak and Sarah Gallacher},
date = {2021-11-16},
editor = {{IEEE Internet of Things}},
title = {Why Taking Control over Your Urban Data Streams Matters},
url = {https://iot.ieee.org/newsletter/november-2021/why-taking-control-over-your-urban-data-streams-matters},
groups = {Big Data}
}
@article{lamssaggad2021survey,
author = {Ayyoub Lamssaggad and Nabil Benamar and Abdelhakim Senhaji Hafid and Mounira Msahli},
date = {2021},
journaltitle = {{IEEE} Access},
title = {A Survey on the Current Security Landscape of Intelligent Transportation Systems},
doi = {10.1109/access.2021.3050038},
pages = {9180--9208},
volume = {9},
file = {:A Survey on the Current Security Landscape of Intelligent Transportation Systems.pdf:PDF},
groups = {IPTS, Transportation},
publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}
}
@inproceedings{wang2017transportation,
author = {Wang, Fei-Yue and Zhang, Jun Jason},
booktitle = {2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC)},
date = {2017},
title = {Transportation 5.0 in CPSS: Towards ACP-based society-centered intelligent transportation},
doi = {10.1109/ITSC.2017.8317905},
organization = {IEEE},
pages = {762--767},
file = {:Transportation 5.0 in CPSS- Towards ACP-based Society-Centered Intelligent Transportation.pdf:PDF},
groups = {Transportation, Cybernetics}
}
@book{perallos2015intelligent,
author = {Perallos, Asier and Hernandez-Jayo, Unai and Onieva, Enrique and Zuazola, Ignacio Julio Garc{\'\i}a},
date = {2015},
title = {Intelligent transport systems: technologies and applications},
doi = {10.1002/9781118894774},
publisher = {John Wiley \& Sons},
file = {:Intelligent transport systems - technologies and applications.pdf:PDF},
groups = {Transportation, Technologies}
}
@article{yilma2021systemic,
author = {Yilma, Bereket Abera and Panetto, Herv{\'e} and Naudet, Yannick},
date = {2021},
journaltitle = {Computers in Industry},
title = {Systemic formalisation of Cyber-Physical-Social System (CPSS): A systematic literature review},
pages = {103458},
url = {https://www-sciencedirect-com.ezproxy.sibdi.ucr.ac.cr/science/article/pii/S0166361521000658},
volume = {129},
file = {:Systemic formalisation of Cyber-Physical-Social System (CPSS) - A systematic literature review.pdf:PDF},
groups = {Cybernetics},
publisher = {Elsevier}
}
@article{yilma2021towards,
author = {Yilma, Bereket Abera and Naudet, Yannick and Panetto, Herv{\'e}},
date = {2021},
journaltitle = {IFAC-PapersOnLine},
title = {Towards a personalisation framework for cyber-physical-social system (CPSS)},
doi = {10.1016/j.ifacol.2021.08.028},
number = {1},
pages = {243--248},
volume = {54},
file = {:Towards a Personalisation Framework for Cyber-Physical-Social System (CPSS).html:URL;:Towards a personalisation framework for cyber-physical-social system (CPSS).pdf:PDF},
groups = {Cybernetics},
publisher = {Elsevier}
}
@article{xiong2020collaborative,
author = {Xiong, Gang and Chen, Xiaoyu and Shuo, Nan and Lv, Yisheng and Zhu, Fenghua and Qu, Tianci and Ye, Peijun},
date = {2020},
journaltitle = {IFAC-PapersOnLine},
title = {Collaborative Optimization of Cyber Physical Social Systems for Urban Transportation Based on Knowledge Automation},
doi = {10.1016/j.ifacol.2021.04.144},
number = {5},
pages = {572--577},
volume = {53},
file = {:Collaborative Optimization of Cyber Physical Social Systems for Urban Transportation Based on Knowledge Automation.pdf:PDF},
groups = {Cybernetics, IPTS},
publisher = {Elsevier}
}
@article{compton2012ssn,
author = {Compton, Michael and Barnaghi, Payam and Bermudez, Luis and Garcia-Castro, Raul and Corcho, Oscar and Cox, Simon and Graybeal, John and Hauswirth, Manfred and Henson, Cory and Herzog, Arthur and others},
date = {2012},
journaltitle = {Journal of Web Semantics},
title = {The SSN ontology of the W3C semantic sensor network incubator group},
doi = {10.2139/ssrn.3198991},
pages = {25--32},
volume = {17},
file = {:The SSN ontology of the W3C semantic sensor network incubator group.pdf:PDF},
groups = {Ontologies},
priority = {prio2},
publisher = {Elsevier}
}
@report{onu2021ods,
author = {{Departamento de Asuntos Económicos y Sociales}},
date = {2021},
institution = {Organización de las Naciones Unidas},
title = {Informe de los Objetivos de Desarrollo Sostenible},
type = {resreport},
url = {https://unstats.un.org/sdgs/report/2021/The-Sustainable-Development-Goals-Report-2021_Spanish.pdf},
file = {:Informe de los Objetivos de Desarrollo Sostenible 2021.pdf:PDF},
groups = {Other}
}
@techreport{ctp2020sig,
author = {{Dirección de Ingeniería}},
date = {2020-05},
institution = {Consejo de Transporte Público},
title = {Proyecto: Adquisición de software de información geográfica y conformación de la base de datos con información geoespacial del levantamiento en campo de ruta regular, así como el respectivo almacenamiento y soporte en la nube},
subtitle = {Requerimientos técnicos y tecnológicos},
url = {https://www.sicop.go.cr/moduloPcont/pcont/ctract/es/CE_SCJ_GSQ003_C.jsp?isPopup=Y&contract_req_no=SC202006000736},
file = {:Requerimientos Técnicos y Tecnológicos.pdf:PDF},
groups = {Costa Rica, GTFS}
}
@booklet{tumi2022transforming,
author = {Garcia Mejia, Itzel and Weinmann, Viviane},
date = {2022},
editor = {{TUMI Management}},
title = {Transforming Urban Mobility: Introduction to Transport Planning for Sustainable Cities (Part 1)},
url = {https://www.transformative-mobility.org/assets/publications/17-01-2022_TUMI-UCL_LearnersBooklet_Part-1.pdf},
file = {:Transforming Urban Mobility - Introduction to Transport Planning for Sustainable Cities (Part 1).pdf:PDF},
groups = {Transportation}
}
@inproceedings{fernandez2015driver,
author = {Fernandez, Susel and Ito, Takayuki},
booktitle = {2015 IEEE 8th International Conference on Service-Oriented Computing and Applications (SOCA)},
date = {2015},
title = {Driver behavior model based on ontology for intelligent transportation systems},
doi = {10.1109/soca.2015.44},
organization = {IEEE},
pages = {227--231},
url = {https://ieeexplore.ieee.org/document/7399115},
abstract = {Intelligent transportation systems are a set of technological solutions used to improve the performance and safety of road transportation. A crucial element that affects road safety is driver behavior, because driver errors are usually the principal cause of traffic accidents. Therefore, understanding and modeling human driver behavior is extremely important for the safety of the road transportation. In this paper, a driver behavior model based in ontology for intelligent transportation system is proposed. The ontology will allows predicting different undesirable situations, such as traffic accidents, and road congestion, taking into account the environment information and the driver behavior.},
file = {:Driver Behavior Model Based on Ontology for Intelligent Transportation Systems.pdf:PDF},
groups = {Ontologies}
}
@article{gregor2016methodology,
author = {Gregor, Derlis and Toral, Sergio and Ariza, Teresa and Barrero, Federico and Gregor, Ra{\'u}l and Rodas, Jorge and Arzamendia, Mario},
date = {2016},
journaltitle = {Computer Standards \& Interfaces},
title = {A methodology for structured ontology construction applied to intelligent transportation systems},
doi = {10.1016/j.csi.2015.10.002},
pages = {108--119},
volume = {47},
file = {:A methodology for structured ontology construction applied to intelligent transportation systems.pdf:PDF},
groups = {Ontologies, IPTS, Transportation},
publisher = {Elsevier}
}
@book{kreimeyer2011complexity,
author = {Kreimeyer, Matthias and Lindemann, Udo},
date = {2011},
title = {Complexity metrics in engineering design: managing the structure of design processes},
publisher = {Springer Science \& Business Media},
groups = {Systems}
}
@article{haghighat2020applications,
author = {Haghighat, Arya Ketabchi and Ravichandra-Mouli, Varsha and Chakraborty, Pranamesh and Esfandiari, Yasaman and Arabi, Saeed and Sharma, Anuj},
date = {2020},
journaltitle = {Journal of Big Data Analytics in Transportation},
title = {Applications of deep learning in intelligent transportation systems},
doi = {10.1007/s42421-020-00020-1},
number = {2},
pages = {115--145},
volume = {2},
file = {:Applications of Deep Learning in Intelligent Transportation Systems.pdf:PDF},
groups = {IPTS, Transportation, Machine Learning},
publisher = {Springer}
}
@article{huang2020technical,
author = {Huang, Tongge and Sharma, Anuj},
date = {2020},
journaltitle = {Journal of Big Data Analytics in Transportation},
title = {Technical and Economic Feasibility Assessment of a Cloud-Enabled Traffic Video Analysis Framework},
doi = {10.1007/s42421-020-00027-8},
number = {3},
pages = {223--233},
volume = {2},
file = {:Technical and Economic Feasibility Assessment of a Cloud‑Enabled Trafc Video Analysis Framework.pdf:PDF},
groups = {Technologies, Transportation},
publisher = {Springer}
}
@article{liu2019traffic,
author = {Liu, Chao and Zhao, Mo and Sharma, Anuj and Sarkar, Soumik},
date = {2019},
journaltitle = {Journal of Big Data Analytics in Transportation},
title = {Traffic dynamics exploration and incident detection using spatiotemporal graphical modeling},
doi = {10.1007/s42421-019-00003-x},
number = {1},
pages = {37--55},
volume = {1},
groups = {Transportation},
publisher = {Springer}
}
@article{wu2019monitoring,
author = {Wu, Laiyun and Kang, Jee Eun and Chung, Younshik and Nikolaev, Alexander},
date = {2019},
journaltitle = {Journal of Big Data Analytics in Transportation},
title = {Monitoring multimodal travel environment using automated fare collection data: data processing and reliability analysis},
doi = {10.1007/s42421-019-00012-w},
number = {2},
pages = {123--146},
volume = {1},
groups = {Transportation},
publisher = {Springer}
}
@article{islam2019cyberinfrastructure,
author = {Islam, Md Johirul and Sharma, Anuj and Rajan, Hridesh},
date = {2019},
journaltitle = {Journal of Big Data Analytics in Transportation},
title = {A cyberinfrastructure for big data transportation engineering},
doi = {10.1007/s42421-019-00006-8},
number = {1},
pages = {83--94},
volume = {1},
groups = {Technologies, Transportation, Big Data},
publisher = {Springer}
}
@online{dot2024architecture,
author = {{U.S. Department of Transportation}},
date = {2024},
title = {Architecture Reference for Cooperative and Intelligent Transportation (ARC-IT) v9.2},
url = {http://www.arc-it.net/},
subtitle = {The National ITS Reference Architecture},
groups = {Architectures, Transportation, IPTS},
institution = {{U.S. Department of Transportation}}
}
@inbook{luckow2017data,
author = {Andre Luckow and Ken Kennedy},
booktitle = {Data Analytics for Intelligent Transportation Systems},
date = {2017},
title = {Data Infrastructure for Intelligent Transportation Systems},
chapter = {5},
editor = {Mashrur Chowdhury and Amy Apon and Kakan Dey},
isbn = {978-0-12-809715-1},
publisher = {Elsevier},
file = {:Data Analytics for Intelligent Transportation Systems/Chapter-5---Data-Infrastructure-for-Inte_2017_Data-Analytics-for-Intelligent.pdf:PDF},
groups = {Transportation}
}
@misc{binkley2020architecture,
author = {Binkley, David and Lusco, Tom},
date = {2020-17-27},
title = {Architecture for Automation update},
file = {:Architecture for Automation update.pdf:PDF},
groups = {Architectures}
}
@misc{dot2012taxonomy,
author = {{United States Department of Transportation}},
date = {2012-12},
title = {Taxonomy of Intelligent Transportation Systems Applications},
url = {https://www.itskrs.its.dot.gov/sites/default/files/2020-10/Taxonomy.pdf},
file = {:US DOT Taxonomy ITS.pdf:PDF},
groups = {Transportation, IPTS, Systems, Architectures}
}
@inbook{plale2017centrality,
author = {Beth Plale and Inna Kouper},
booktitle = {Data Analytics for Intelligent Transportation Systems},
date = {2017},
title = {The Centrality of Data: Data Lifecycle and Data Pipelines},
chapter = {4},
editor = {Mashrur Chowdhury and Amy Apon and Kakan Dey},
isbn = {978-0-12-809715-1},
publisher = {Elsevier},
file = {:Data Analytics for Intelligent Transportation Systems/Chapter-4---The-Centrality-of-Data--Data_2017_Data-Analytics-for-Intelligent.pdf:PDF},
groups = {Transportation, Big Data}
}
@phdthesis{dabiri2018application,
author = {Dabiri, Sina},
date = {2018-12-12},
institution = {Virginia Polytechnic Institute and State University},
title = {Application of Deep Learning in Intelligent Transportation Systems},
url = {http://hdl.handle.net/10919/87409},
file = {:bib-ipts/Application of Deep Learning in Intelligent Transportation Systems.pdf:PDF},
groups = {IPTS, Machine Learning}
}
@article{guerrero2018sensor,
author = {Guerrero-Ib{\'a}{\~n}ez, Juan and Zeadally, Sherali and Contreras-Castillo, Juan},
date = {2018},
journaltitle = {Sensors},
title = {Sensor technologies for intelligent transportation systems},
doi = {10.3390/s18041212},
number = {4},
pages = {1212},
volume = {18},
groups = {IPTS, Technologies, Transportation},
publisher = {Multidisciplinary Digital Publishing Institute}
}
@article{tubaishat2009wireless,
author = {Tubaishat, Malik and Zhuang, Peng and Qi, Qi and Shang, Yi},
date = {2009},
journaltitle = {Wireless communications and mobile computing},
title = {Wireless sensor networks in intelligent transportation systems},
doi = {10.1002/wcm.616},
number = {3},
pages = {287--302},
volume = {9},
groups = {IPTS, Technologies},
publisher = {Wiley Online Library}
}
@article{yang2018intelligent,
author = {Yang, DianGe and Jiang, Kun and Zhao, Ding and Yu, ChunLei and Cao, Zhong and Xie, ShiChao and Xiao, ZhongYang and Jiao, XinYu and Wang, SiJia and Zhang, Kai},
date = {2018},
journaltitle = {Science China Technological Sciences},
title = {Intelligent and connected vehicles: Current status and future perspectives},
doi = {10.1007/s11431-017-9338-1},
number = {10},
pages = {1446--1471},
volume = {61},
file = {:Intelligent and connected vehicles- Current status and future perspectives.pdf:PDF},
groups = {Transportation, Technologies},
publisher = {Springer}
}
@incollection{lee2008new,
author = {Hyunjo Lee and Nihad Karim Chowdhury and Jaewoo Chang},
booktitle = {Lecture Notes in Computer Science},
date = {2008},
title = {A New Travel Time Prediction Method for Intelligent Transportation Systems},
doi = {10.1007/978-3-540-85563-7_61},
pages = {473--483},
publisher = {Springer Berlin Heidelberg},
groups = {IPTS, Data}
}
@article{lu2021review,
author = {Kai Lu and Jiangtao Liu and Xuesong Zhou and Baoming Han},
date = {2021-05},
journaltitle = {{IEEE} Transactions on Intelligent Transportation Systems},
title = {A Review of Big Data Applications in Urban Transit Systems},
doi = {10.1109/tits.2020.2973365},
number = {5},
pages = {2535--2552},
volume = {22},
file = {:A Review of Big Data Applications in Urban Transit Systems.pdf:PDF},
groups = {Transportation, Big Data},
priority = {prio1},
publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}
}
@article{tan2020robust,
author = {Kai Liang Tan and Anuj Sharma and Soumik Sarkar},
date = {2020-12},
journaltitle = {Journal of Big Data Analytics in Transportation},
title = {Robust Deep Reinforcement Learning for Traffic Signal Control},
doi = {10.1007/s42421-020-00029-6},
number = {3},
pages = {263--274},
volume = {2},
groups = {Machine Learning},
publisher = {Springer Science and Business Media {LLC}}
}
@article{liu2021optimization,
author = {Xinyu Liu and Pascal Van Hentenryck and Xilei Zhao},
date = {2021-10},
journaltitle = {Journal of Big Data Analytics in Transportation},
title = {Optimization Models for Estimating Transit Network Origin{\textendash}Destination Flows with Big Transit Data},
doi = {10.1007/s42421-021-00050-3},
number = {3},
pages = {247--262},
volume = {3},
groups = {Transportation},
publisher = {Springer Science and Business Media {LLC}}
}
@book{jamshidi2009systems,
date = {2009},
title = {Systems of Systems Engineering: Principles and Applications},
doi = {10.1201/9781420065893},
editor = {Jamshidi, Mo},
publisher = {{CRC} Press},
file = {:Systems of Systems Engineering - Principles and Applications.pdf:PDF},
groups = {Systems}
}
@book{bonnema2016systems,
author = {G. Maarten Bonnema and Karel T. Veenvliet and Jan F. Broenink},
date = {2016-01},
title = {Systems Design and Engineering},
doi = {10.1201/b19135},
publisher = {{CRC} Press},
file = {:Systems Design and Engineering.pdf:PDF},
groups = {Systems}
}
@article{baxter2011sociotechnical,
author = {Gordon Baxter and Ian Sommerville},
date = {2011-01},
journaltitle = {Interacting with Computers},
title = {Socio-technical systems: From design methods to systems engineering},
doi = {10.1016/j.intcom.2010.07.003},
number = {1},
pages = {4--17},
volume = {23},
file = {:Socio-technical systems - From design methods to systems engineering.pdf:PDF},
groups = {Cybernetics, Systems},
publisher = {Oxford University Press ({OUP})}
}
@book{barfield1998human,
author = {Barfield, Woodrow and Dingus, Thomas A},
date = {1998},
title = {Human factors in intelligent transportation systems},
doi = {10.4324/9781315806624},
publisher = {Psychology Press},
file = {:bib-ipts/Human factors in intelligent transportation systems.pdf:PDF},
groups = {IPTS}
}
@article{xiong2015cpss,
author = {Gang Xiong and Fenghua Zhu and Xiwei Liu and Xisong Dong and Wuling Huang and Songhang Chen and Kai Zhao},
date = {2015-07},