Real-time traffic diversion model

Conceptual approach

A. G. Hobeika, R. Sivanandan, S. Subramaniam, Kaan Ozbay, Y. Zhang

Research output: Contribution to journalArticle

Abstract

The development of advanced traffic-management systems as a major component of intelligent vehicle/highway systems is targeted to address the complex problem of urban traffic congestion. The strategy includes real-time diversion of traffic during congestion-causing events, by making efficient use of the available capacities in the highway network. A conceptual framework for executing realtime diversions is presented in this paper. The strategy envisages on-line control and management of traffic through control centers and their surveillance equipment. The approach relies on real-time traffic data to detect incidents and develop rerouting plants to benefit motorists. For this purpose, a model has been developed to estimate traveler destinations from traffic data. The dynamic nature of the problem is captured through a traffic assignment/simulationm odel, which can predict traffic conditions that would prevail in the alternate routes. A knowledgebased expert system is also proposed to estimate traffic delays, and to evaluate and choose alternate routes. This research is being applied to the northern Virginia urban area as a case study.

Original languageEnglish (US)
Pages (from-to)515-534
Number of pages20
JournalJournal of Transportation Engineering
Volume119
Issue number4
DOIs
StatePublished - Jul 1 1993

Fingerprint

Traffic congestion
Advanced traffic management systems
traffic
Intelligent vehicle highway systems
Expert systems
traffic congestion
road
traffic management
traffic management system
expert system
conceptual framework
knowledge-based system
time
urban area
surveillance
incident
event
management

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation
  • Earth and Planetary Sciences(all)
  • Environmental Science(all)

Cite this

Hobeika, A. G., Sivanandan, R., Subramaniam, S., Ozbay, K., & Zhang, Y. (1993). Real-time traffic diversion model: Conceptual approach. Journal of Transportation Engineering, 119(4), 515-534. https://doi.org/10.1061/(ASCE)0733-947X(1993)119:4(515)

Real-time traffic diversion model : Conceptual approach. / Hobeika, A. G.; Sivanandan, R.; Subramaniam, S.; Ozbay, Kaan; Zhang, Y.

In: Journal of Transportation Engineering, Vol. 119, No. 4, 01.07.1993, p. 515-534.

Research output: Contribution to journalArticle

Hobeika, AG, Sivanandan, R, Subramaniam, S, Ozbay, K & Zhang, Y 1993, 'Real-time traffic diversion model: Conceptual approach', Journal of Transportation Engineering, vol. 119, no. 4, pp. 515-534. https://doi.org/10.1061/(ASCE)0733-947X(1993)119:4(515)
Hobeika, A. G. ; Sivanandan, R. ; Subramaniam, S. ; Ozbay, Kaan ; Zhang, Y. / Real-time traffic diversion model : Conceptual approach. In: Journal of Transportation Engineering. 1993 ; Vol. 119, No. 4. pp. 515-534.
@article{c35a57e75f46454fa86e138083780692,
title = "Real-time traffic diversion model: Conceptual approach",
abstract = "The development of advanced traffic-management systems as a major component of intelligent vehicle/highway systems is targeted to address the complex problem of urban traffic congestion. The strategy includes real-time diversion of traffic during congestion-causing events, by making efficient use of the available capacities in the highway network. A conceptual framework for executing realtime diversions is presented in this paper. The strategy envisages on-line control and management of traffic through control centers and their surveillance equipment. The approach relies on real-time traffic data to detect incidents and develop rerouting plants to benefit motorists. For this purpose, a model has been developed to estimate traveler destinations from traffic data. The dynamic nature of the problem is captured through a traffic assignment/simulationm odel, which can predict traffic conditions that would prevail in the alternate routes. A knowledgebased expert system is also proposed to estimate traffic delays, and to evaluate and choose alternate routes. This research is being applied to the northern Virginia urban area as a case study.",
author = "Hobeika, {A. G.} and R. Sivanandan and S. Subramaniam and Kaan Ozbay and Y. Zhang",
year = "1993",
month = "7",
day = "1",
doi = "10.1061/(ASCE)0733-947X(1993)119:4(515)",
language = "English (US)",
volume = "119",
pages = "515--534",
journal = "Transportation engineering journal of ASCE",
issn = "0733-947X",
publisher = "American Society of Civil Engineers (ASCE)",
number = "4",

}

TY - JOUR

T1 - Real-time traffic diversion model

T2 - Conceptual approach

AU - Hobeika, A. G.

AU - Sivanandan, R.

AU - Subramaniam, S.

AU - Ozbay, Kaan

AU - Zhang, Y.

PY - 1993/7/1

Y1 - 1993/7/1

N2 - The development of advanced traffic-management systems as a major component of intelligent vehicle/highway systems is targeted to address the complex problem of urban traffic congestion. The strategy includes real-time diversion of traffic during congestion-causing events, by making efficient use of the available capacities in the highway network. A conceptual framework for executing realtime diversions is presented in this paper. The strategy envisages on-line control and management of traffic through control centers and their surveillance equipment. The approach relies on real-time traffic data to detect incidents and develop rerouting plants to benefit motorists. For this purpose, a model has been developed to estimate traveler destinations from traffic data. The dynamic nature of the problem is captured through a traffic assignment/simulationm odel, which can predict traffic conditions that would prevail in the alternate routes. A knowledgebased expert system is also proposed to estimate traffic delays, and to evaluate and choose alternate routes. This research is being applied to the northern Virginia urban area as a case study.

AB - The development of advanced traffic-management systems as a major component of intelligent vehicle/highway systems is targeted to address the complex problem of urban traffic congestion. The strategy includes real-time diversion of traffic during congestion-causing events, by making efficient use of the available capacities in the highway network. A conceptual framework for executing realtime diversions is presented in this paper. The strategy envisages on-line control and management of traffic through control centers and their surveillance equipment. The approach relies on real-time traffic data to detect incidents and develop rerouting plants to benefit motorists. For this purpose, a model has been developed to estimate traveler destinations from traffic data. The dynamic nature of the problem is captured through a traffic assignment/simulationm odel, which can predict traffic conditions that would prevail in the alternate routes. A knowledgebased expert system is also proposed to estimate traffic delays, and to evaluate and choose alternate routes. This research is being applied to the northern Virginia urban area as a case study.

UR - http://www.scopus.com/inward/record.url?scp=0027787066&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0027787066&partnerID=8YFLogxK

U2 - 10.1061/(ASCE)0733-947X(1993)119:4(515)

DO - 10.1061/(ASCE)0733-947X(1993)119:4(515)

M3 - Article

VL - 119

SP - 515

EP - 534

JO - Transportation engineering journal of ASCE

JF - Transportation engineering journal of ASCE

SN - 0733-947X

IS - 4

ER -