DANG, Vinh Quang and Hana RUDOVÁ. Enhanced Scheduling for Real-Time Traffic Control. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI). Bengaluru, India: IEEE, 2018, p. 578-585. ISBN 978-1-5386-9276-9. Available from: https://dx.doi.org/10.1109/SSCI.2018.8628731.
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Basic information
Original name Enhanced Scheduling for Real-Time Traffic Control
Authors DANG, Vinh Quang (704 Viet Nam, guarantor, belonging to the institution) and Hana RUDOVÁ (203 Czech Republic, belonging to the institution).
Edition Bengaluru, India, 2018 IEEE Symposium Series on Computational Intelligence (SSCI), p. 578-585, 8 pp. 2018.
Publisher IEEE
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
RIV identification code RIV/00216224:14330/18:00103562
Organization unit Faculty of Informatics
ISBN 978-1-5386-9276-9
Doi http://dx.doi.org/10.1109/SSCI.2018.8628731
UT WoS 000459238800079
Keywords in English Scheduling; Traffic control; Signal control; Real-time
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 30/4/2019 07:30.
Abstract
Traffic signal control in road networks is a practical problem which has been widely studied. In this paper, we present an approach for traffic signal control extending ideas of schedule-driven coordination in the system Surtrac. The traffic signal control problem of one intersection is modeled as a parallel machine scheduling problem based on aggregation of traffic flow data. The solution procedure for each parallel machine scheduling problem is based on a forward dynamic programming search. All connected intersections form a distributed system of communicating intersections. The objective is to construct a traffic control sequence for each intersection and minimize the total cumulative delay of all vehicles in the traffic network. Simulation results for a grid network from the SUMO simulator demonstrate the performance of the proposed approach in comparison to the Surtrac system solving the problem using single machine scheduling. The results show a significant improvement in the total cumulative delay given the increase of computational time which is acceptable in real-time processing.
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