Enhanced Scheduling for Real-Time Traffic Control

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Enhanced Scheduling for Real-Time Traffic Control

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Enhanced Scheduling for Real-Time Traffic Control

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

2018 IEEE Symposium Series on Computational Intelligence (SSCI)

ISBN

9781538692769

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

578-585

Název nakladatele

IEEE

Místo vydání

Bengaluru, India

Místo konání akce

Bengaluru, India

Datum konání akce

18. 11. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000459238800079