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      Signal Timing Optimization for Transit Priority at Near-Saturated Intersections

      1 , 1 , 1
      Journal of Advanced Transportation
      Hindawi Limited

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          Abstract

          Transit signal priority is a useful way to improve transit operations in urban networks. Most of the existing studies have been conducted in conditions with low saturation to avoid the detrimental effects of vehicles without priority. However, from the public transit point of view, it is more meaningful to assign transit signal priority when the degree of the saturation intersections is high. This study proposes a signal control model for transit signal priority to minimize the overall delay at near-saturated intersection. The delay increment is calculated in three scenarios for buses and private vehicles according to the dissipation time of the vehicular queue. A set of constrains are set up to avoid queue overflows and to ensure the rationalization of the signal timing. The proposed control model is tested based on a case study and numerical experiments. The results show that the proposed model can reduce the total person delay at near-saturated intersections. The length of priority time, degree of saturation, and number of lanes are the three main influencing factors. More than 6% reductions in person delay can be obtained for undersaturated intersections when the priority time is less than 5 s. Moreover, even when the intersection saturation is 0.95, the bus signal priority can be applied if only the priority time is less than 5 s.

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          Bus lanes with intermittent priority: Strategy formulae and an evaluation

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            Multi-modal traffic signal control with priority, signal actuation and coordination

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              Coordinated transit signal priority supporting transit progression under Connected Vehicle Technology

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                Author and article information

                Journal
                Journal of Advanced Transportation
                Journal of Advanced Transportation
                Hindawi Limited
                0197-6729
                2042-3195
                July 11 2018
                July 11 2018
                : 2018
                : 1-14
                Affiliations
                [1 ]Department of Traffic Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
                Article
                10.1155/2018/8502804
                b9a7ef35-2958-47ba-a555-173c3a997ff0
                © 2018

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

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