Intersection Traffic Control (ITC) attracted extensive attention with the increase of traffic accidents and congestion that causes a huge social and economic losses. Also the topic on ITC has been widely studied by research communities. These studies fall into two categories: traffic signal scheduling and Autonomous Intersection management (AIM) based on Intersection Central Unit (ICU). The optimization of signal scheduling needs a lot of computations and the ICU based system is not flexible and not cost efficient. To solve this problem, the distributed AIM system should be the necessary requirement. However to our knowledge there is almost no work that has been devoted to distributed ITC for AV.
This paper proposes a token-based group mutual algorithm for the distributed AIM. We use a token as a privilege to pass cross zone (critical section in an intersection) and use one token. How to transfer the token among vehicles in a dynamic system in which a vehicle can not stay in the cross zone after it finish passing it is the core of our algorithm. We design the circulation of the token efficiently among vehicles and session declare concept to improve the flow of vehicles.
The proposed algorithm can handle quite a big traffic volume well with decreased message complexity. It outperforms the reference algorithms in message complexity and presents better result in system throughput than traffic signal system. This paper also will vitalize the researches about the distributed AIC.
The Relationship between Intersection Traffic Control and Mutual Exclusion Algorithm
Advs in Intelligent Syst., Computing
16th International Conference on Information Technology-New Generations (ITNG 2019) ; Chapter : 56 ; 409-415
2019-05-23
7 pages
Article/Chapter (Book)
Electronic Resource
English
A Distributed inVANETs-Based Intersection Traffic Control Algorithm
Springer Verlag | 2018
|NTRS | 1970
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