Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26989
Title: Distributed mutual exclusion algorithms for intersection traffic control
Authors: Wu, W
Zhang, J
Luo, A
Cao, J 
Keywords: Distributed algorithm
Intelligent transportation system
Intersection traffic control
Mutual exclusion
Vehicular ad hoc network
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on parallel and distributed systems, 2014, v. 26, no. 1, 6747396, p. 65-74 How to cite?
Journal: IEEE transactions on parallel and distributed systems 
Abstract: Traffic control at intersections is a key issue and hot research topic in intelligent transportation systems. Existing approaches, including traffic light scheduling and trajectory maneuver, are either inaccurate and inflexible or complicated and costly. More importantly, due to the dynamics of traffic, it is really difficult to obtain the optimal solution in a real-time way. Inspired by the emergence of vehicular ad hoc network, we propose a novel approach to traffic control at intersections. Via vehicle to vehicle or vehicle to infrastructure communications, vehicles can compete for the privilege of passing the intersection, i.e., traffic is controlled via coordination among vehicles. Such an approach is flexible and efficient. To realize the coordination among vehicles, we first model the problem as a new variant of the classic mutual exclusion problem, and then design algorithms to solve new problem. Both centralized and distributed algorithms are. We conduct extensive simulations to evaluate the performance of our proposed algorithms. The results show that, our approach is efficient and outperforms a reference algorithm based on optimal traffic light scheduling. Moreover, our approach does not rely on traffic light or intersection controller facilities, which makes it flexible and applicable to various kinds of intersections.
URI: http://hdl.handle.net/10397/26989
ISSN: 1045-9219
EISSN: 1558-2183
DOI: 10.1109/TPDS.2013.2297097
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

21
Last Week
0
Last month
0
Citations as of Oct 9, 2017

WEB OF SCIENCETM
Citations

14
Last Week
2
Last month
0
Citations as of Oct 21, 2017

Page view(s)

43
Last Week
1
Last month
Checked on Oct 22, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.