Optimizing Highway Ramp Merge Safety and Efficiency via Spatio-Temporal Cooperative Control and Vehicle-Road Coordination
<|reference_start|>Optimizing Highway Ramp Merge Safety and Efficiency via Spatio-Temporal Cooperative Control and Vehicle-Road Coordination: In view of existing automatic driving, it is difficult to accurately and timely obtain the status and driving intention of other vehicles. The safety risk and urgency of autonomous vehicles in the absence of collision are evaluated. To ensure safety and improve road efficiency, a method of pre-compiling the spatio-temporal trajectory of vehicles is established to eliminate conflicts between vehicles in advance. The calculation method of the safe distance under spatio-temporal conditions is studied, considering vehicle speed differences, vehicle positioning errors, and clock errors. By combining collision acceleration and urgent acceleration, an evaluation model for vehicle conflict risk is constructed. Mainline vehicles that may have conflicts with on-ramp vehicles are identified, and the target gap for on-ramp vehicles is determined. Finally, a cooperative control method is established based on the selected target gap, preparing the vehicle travel path in advance. Taking highway ramp merge as an example, the mainline priority spatio-temporal cooperative control method is proposed and verified through simulation. Using SUMO and Python co-simulation, mainline traffic volumes of 800 veh*h-1*lane-1<|reference_end|>
@article{peng2024optimizing,
    title={Optimizing Highway Ramp Merge Safety and Efficiency via Spatio-Temporal
  Cooperative Control and Vehicle-Road Coordination},
    author={Ting Peng, Xiaoxue Xu, Yuan Li, Jie WU, Tao Li, Xiang Dong, Yincai
  Cai, Peng Wu, Sana Ullah},
    journal={arXiv preprint arXiv:2408.08121},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.08121},
    primaryClass={eess.SY cs.SY}
}