A Joint Design of Path Planning and Lane Reservation for Emergency Service in ITS

Zhaoyang Li1; Bingyi Liu1; Enshu Wang2; Jinfan Wang1; Weizhen Han3

10.1109/ISPCE-ASIA60405.2023.10365789

2023

2831-3402

979-8-3503-6121-6

2023 IEEE International Symposium on Product Compliance Engineering - Asia (ISPCE-ASIA)

1-6

4-5 Nov. 2023

Shanghai, China

Reaching the accident scene promptly for emergency vehicles (EVs) can significantly alleviate the negative impact of accidents. However, finding a way to reduce the response time of EVs (i.e., the travel time of an EV to reach the rescue location) remains a challenge that needs to be addressed. In this paper, we design a distributed intelligent transportation system (DITS) powered by vehicular fog computing (VFC), which offers new possibilities for designing traffic scheduling methods. We propose a soft actor-critic-based EV rapid passage approach (SACRP) to minimize the response time of EVs. The collaborative lane reservation module uses the latest traffic data to create a traffic dispatch strategy to reserve empty lane. Subsequently, we propose a soft actor-critic-based algorithm as the real-time path planning module. The path planning module integrates vital road information, such as lane reservation priority, real-time road data, EV location, and traffic signal information. The path planning module strategically plans the path with the shortest response time for the EV. We conduct extensive experiments to evaluate the performance of the proposed method, and the results show that the response time for EVs could be reduced by 24.6% compared to the latest study.

Emergency vehicle soft actor-critic algorithm lane reservation path planning

其他

EI

20240415434049

Emergency services ; Emergency vehicles ; Fog ; Fog computing ; Intelligent systems ; Intelligent vehicle highway systems ; Response time (computer systems) ; Traffic signals ; Travel time

Highway Systems:406.1 ; Roads and Streets:406.2 ; Air Transportation:431 ; Highway Transportation:432 ; Highway Traffic Control:432.4 ; Railroad Transportation:433 ; Waterway Transportation:434 ; Atmospheric Properties:443.1 ; Automobiles and Smaller Vehicles:662 ; Digital Computers and Systems:722.4 ; Artificial Intelligence:723.4 ; Computer Applications:723.5 ; Accidents and Accident Prevention:914.1

IEEE

1.School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China
2.Department of Future Science and Engineering, Soochow University, Suzhou, China
3.Institute of Future Networks, Southern University of Science and Technology, Shenzhen, China

Zhaoyang Li,Bingyi Liu,Enshu Wang,et al. A Joint Design of Path Planning and Lane Reservation for Emergency Service in ITS[C],2023:1-6.