Nowadays, there is a rapid growth in the number of vehicles on the roads. This leads to a significant load on the transport infrastructure of cities: an increase in the number of traffic jams on the roads, an increase of environmental pollution, and an increase in the number of traffic accidents. To reduce the load on the transport network of the city, various methods are used to control the traffic at intersections. One of the approaches to solving this problem is based on the construction of trajectories of connected and automated vehicles (CAV). The paper presents a method of optimal trajectory planning of CAV at a multi-lane controlled intersection. The results of experimental studies of the developed method in the SUMO simulation environment are presented.
Vehicle Trajectory Planning in the Problem of Traffic Flow Control at Signalized Intersections
2022-05-23
3755191 byte
Conference paper
Electronic Resource
English
A recursive framework of vehicle trajectory planning at mixed‐traffic signalized intersections
Wiley | 2024
|A recursive framework of vehicle trajectory planning at mixed‐traffic signalized intersections
DOAJ | 2024
|Vehicle trajectory reconstruction for signalized intersections using mobile traffic sensors
Online Contents | 2013
|SATURATION FLOW ESTIMATION FOR SIGNALIZED INTERSECTIONS USING VEHICLE TRAJECTORY DATA
European Patent Office | 2020
|Traffic control at signalized street intersections
Engineering Index Backfile | 1935