Codes for the paper with the title of "General Driving Behavior Model based on the Desired Safety Margin for Vehicle Flow Simulation" (ITSC 2022).
This paper establishes a general driving behavior model that is applied in car-following, lane-changing and merging scenarios.
Referring to the NGSIM dataset, this paper realizes the similar-to-real vehicle flow simulation by the self-developed simulation platform based on PyGame.
https://www.bilibili.com/video/BV1Am4y1d7WT/
pygame 2.1.2 (SDL 2.0.16, Python 3.9.12)
GDBDSM-main/
|—— model
| |—— GDM - general Driving Behavior Model
| | |—— simulation.py - main program
| | |—— roadInfo.py - presupposed information
| | |—— carflow.py - generate flow randomly
| | |—— get_flow.py - get flow from dataset
| | |—— car_behavior.py - car module
| | |—— SRP.py - subjective risk perception
| | |—— dubins.py - dubins curves
| | |—— pkl_period_x - record data of simulation (x=1,2,3)
| | |—— visual.py - replay the simulation from recording data
| | |—— velocity_sum - record veloctiy of simulation
| | |—— exam_for_mfd.py - simulations under different demands
| | |—— result - result of exam_for_mfd.py
| |—— IDM+MOBIL - baseline model
| | |—— IDM_MOBIL.py - main program
| | |—— roadInfo.py - presupposed information
| | |—— velocity_sum - record veloctiy of simulation
|—— I80_data_process - initial states of vehicles in dataset (lane id, time, speed)
| |—— init_vehicle_1.csv - period 1
| |—— init_vehicle_2.csv - period 2
| |—— init_vehicle_3.csv - period 3
|—— analyze - plot figures in our paper
|—— readme.md
If you use the codes, please consider citing the following publication:
@inproceedings{cai2022general,
title={General Driving Behavior Model based on the Desired Safety Margin for Vehicle Flow Simulation},
author={Cai, Pinlong and Zhang, Junjie and Zhao, Xuan and Li, Yikang},
booktitle={2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)},
pages={743--748},
year={2022},
organization={IEEE}
}
The data from Next Generation SIMulation (NGSIM) program is used for this study.
If you require any further information, please feel free to contact me by e-mail ([email protected]).