An intelligent control for crossroads traffic light

Cai, Yanru; Lv, Ziyang; Chen, Jixin; Lu-rong, WU

doi:10.1109/fskd.2011.6019592

Cited by 6 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Trafc lights have been added to control the movement of vehicles in large roundabout areas. Although it can optimize the problem, signal lights can also cause vehicles to wait and even block [1]. With the continuous development of intelligent connected vehicles [2,3], the application of a multivehicle coordination strategy to roundabouts has become a new solution to solve the congestion problem of roundabouts and improve trafc efciency.…”

Section: Introductionmentioning

confidence: 99%

The Design of Vehicle Profile Based on Multivehicle Collaboration for Autonomous Vehicles in Roundabouts

Cao

Liu

et al. 2023

Security and Communication Networks

View full text Add to dashboard Cite

The collaborative strategy of vehicle-road-environment based on intelligent and connected vehicles (ICVs) to assist in driving vehicles safely and relieve traffic congestion has become an effective solution. This paper proposed a strategy for vehicle lane change and roundabouts traffic based on vehicle profile (VP) in combination with the driving characteristics of roundabouts. Initially, in order to solve the confusion problem of multisource heterogeneous data of ICVs in roundabouts, this paper defines VP to describe and characterize the multidimensional data of ICVs, so the data in ICVs can be further applied. Furthermore, the weights of relevant parameters in the VP are updated based on the random forest algorithm. In addition, the payoff function is designed for the lane change decision at the exit of roundabouts based on the VP and dynamic weights. Finally, the performance of the proposed algorithm is compared with other algorithms through the SUMO platform and three scenarios are used in the simulation verification, including traffic congestion, normal, and sparse. The experimental results verify the optimization effect of vehicle profile on roundabout traffic strategy and also show that this algorithm can effectively improve the efficiency of vehicle traffic in roundabouts. In particular, the efficiency and comfort of vehicles in roundabouts are effectively improved in normal traffic scenarios.

show abstract

Section: Introductionmentioning

confidence: 99%