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      A Mixed-Flow Cellular Automaton Model for Vehicle Nonstrict Priority Give-Way Behavior at Crosswalks

      1 , 2 , 3 , 1 , 2 , 3 , 1 , 2 , 3 , 4
      Journal of Advanced Transportation
      Hindawi Limited

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          Abstract

          The vehicle nonstrict priority give-way behavior (VNPGWB) is a common part of traffic interaction between motorized and nonmotorized vehicles in many countries. This study proposes a mixed-flow cellular automaton model to simulate the passing of vehicles in front of bicycles at crosswalks. The mixed-flow model combines a vehicle model with a bicycle model, using nonstrict priority give-way and strict give-way two driving behaviors defined as relating to the decision point rule and the launching rule, respectively. Simulation results showed that as the vehicle and bicycle inflow rates increased, a critical inflow rate divided vehicle and bicycle traffic flow into free flow and saturated flow conditions. The values of vehicle saturation flow decreased from 0.34 to 0.05, and the values of bicycle saturation flow decreased from 0.54 to 0.44, indicating that the mixed traffic flow has a negative effect on vehicle and bicycle saturated flow. Results also showed that VNPGWB effectively improves vehicle saturation flow over that of the strict give way. The advantage of VNPGWB is more significant when vehicles and bicycles are in saturation traffic flow.

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          Most cited references26

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          A cellular automaton model for freeway traffic

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            Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies

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              Determinants of intention and behavior of low carbon commuting through bicycle-sharing in China

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                Author and article information

                Contributors
                Journal
                Journal of Advanced Transportation
                Journal of Advanced Transportation
                Hindawi Limited
                2042-3195
                0197-6729
                December 29 2020
                December 29 2020
                : 2020
                : 1-11
                Affiliations
                [1 ]School of Transportation, Southeast University, Nanjing, Jiangsu 211189, China
                [2 ]Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, Jiangsu 211189, China
                [3 ]Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing, Jiangsu 211189, China
                [4 ]School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China
                Article
                10.1155/2020/5073023
                3375c5ab-06fc-46d4-8a65-10ea71248041
                © 2020

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

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