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      Vertical and Horizontal Queue Models for Oversaturated Signal Intersections with Quasi-Real-Time Reconstruction of Deterministic and Shockwave Queueing Profiles Using Limited Mobile Sensing Data

      1 , 2 , 1
      Journal of Advanced Transportation
      Hindawi Limited

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          Abstract

          Deterministic/point/vertical and shockwave/physical/horizontal queueing models are widely used in traffic operation to estimate vehicular queue length and delays at bottlenecks such as signalized intersections. The consistency between the two types of queueing model in terms of their estimation performance has been a subject of debate for decades. This paper reexamines the issue, typically with respect to oversaturated signal intersections, and demonstrates the consistency based on analytical studies and microscopic simulations. While fixed-location sensor data was dominating, it was hardly possible to construct the deterministic or shockwave queueing profile using real data. For this reason, either profile had significance only at a conceptual level and could not be put into practical usage. With the quick spread of mobile sensing data, however, the situation has drastically changed. In this context, this paper also intends to develop an efficient approach to the reconstruction of the deterministic and shockwave queueing profiles in a quasi-real-time manner using very limited mobile sensing data. Microscopic simulations with AIMSUN have demonstrated the efficiency of the approach as well as the analytical results obtained in this paper.

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          Most cited references16

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          On Kinematic Waves. II. A Theory of Traffic Flow on Long Crowded Roads

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            Shock Waves on the Highway

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              • Record: found
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              Real time queue length estimation for signalized intersections using travel times from mobile sensors

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                Author and article information

                Journal
                Journal of Advanced Transportation
                Journal of Advanced Transportation
                Hindawi Limited
                0197-6729
                2042-3195
                June 10 2018
                June 10 2018
                : 2018
                : 1-19
                Affiliations
                [1 ]Institute of Intelligent Transportation Systems, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
                [2 ]College of Transportation Engineering, Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, 201804, China
                Article
                10.1155/2018/6986198
                050f3cb5-89b5-4837-b9f9-32b5dc294116
                © 2018

                http://creativecommons.org/licenses/by/4.0/

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