Enhanced Scheduling for Real-Time Traffic Control

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00103562" target="_blank" >RIV/00216224:14330/18:00103562 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/SSCI.2018.8628731" target="_blank" >http://dx.doi.org/10.1109/SSCI.2018.8628731</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SSCI.2018.8628731" target="_blank" >10.1109/SSCI.2018.8628731</a>

Result language

angličtina

Original language name

Enhanced Scheduling for Real-Time Traffic Control

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2018 IEEE Symposium Series on Computational Intelligence (SSCI)

ISBN

9781538692769

ISSN

—

e-ISSN

—

Number of pages

8

Pages from-to

578-585

Publisher name

IEEE

Place of publication

Bengaluru, India

Event location

Bengaluru, India

Event date

Nov 18, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000459238800079