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Author:

Perugu, Harikishan (Perugu, Harikishan.) | Wei, Heng (Wei, Heng.) | Hu, Hong (Hu, Hong.) | Yang, Xiaokuan (Yang, Xiaokuan.)

Indexed by:

EI Scopus

Abstract:

The growing recurrent traffic congestion problem on urban arterials has long been identified by transportation professionals. Especially, the traffic flow on the arterials with many access points experience delay from the interrupting traffic flow. Most of the ATMS strategies to deal this problem are being applied independently. Integration of adaptive signal control with access meters through ATMS strategies can relieve the congestion. This paper develops an Integrated Arterial Signal and Access Control (IASAC) strategy. During the process a heuristic algorithm has been proposed to decrease the computational time. The heuristic algorithm integrates SCOOT algorithm, and BOTTLENECK access metering algorithm for selected time horizon. Development of control objective function for solution of algorithm is explained in detail. Finally, a simulation-based test bed has been designed for evaluating the IASAC Algorithm. Using Paramics software, a case study of two scenarios with and without IASAC control is presented to show the potency of strategy on urban corridors.

Keyword:

Automatic teller machines Intelligent systems Advanced traffic management systems Access control Urban transportation Traffic control Traffic congestion Heuristic algorithms Traffic signals

Author Community:

  • [ 1 ] [Perugu, Harikishan]OKI Regional Council of Governments, Cincinnati, OH 45202, United States
  • [ 2 ] [Wei, Heng]Department of Civil and Environmental Engineering, University of Cincinnati, 792 Rhodes Hall, P.O. Box 210071, Cincinnati, OH 45221, United States
  • [ 3 ] [Hu, Hong]Transportation Research Center, Beijing University of Technology, Chaoyang District, Beijing 100022, China
  • [ 4 ] [Yang, Xiaokuan]Transportation Research Center, Beijing University of Technology, Chaoyang District, Beijing 100022, China

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Source :

Year: 2007

Volume: 7

Page: 5271-5278

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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