Using Cellular Automata to Investigate Pedestrian Conflicts with Vehicles in Crosswalk at Signalized Intersection | Zendy

Xiaomeng Li | Zendy; Xuedong Yan | Zendy; Xingang Li | Zendy; Jiangfeng Wang | Zendy

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Using Cellular Automata to Investigate Pedestrian Conflicts with Vehicles in Crosswalk at Signalized Intersection

Author(s) -

Xiaomeng Li,

Xuedong Yan,

Xingang Li,

Jiangfeng Wang

Publication year - 2012

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2012/287502

Subject(s) - schema crosswalk , pedestrian , cellular automaton , intersection (aeronautics) , computer science , transport engineering , signal timing , pedestrian crossing , simulation , engineering , traffic signal , real time computing , algorithm

The operational efficiency and safety of pedestrian flows at intersections is an important aspect of urban traffic. Particularly, conflicts between pedestrians and vehicles in crosswalk are one of the most influential factors for intersection safety. This paper presents a cellular automata model that simulates pedestrian and vehicle crossing behaviors at signalized intersections. Through the simulation, we investigate the effects of different pedestrian signal timing and crosswalk widths on the crosswalk capacity, the number of traffic conflicts between pedestrians and vehicles, and pedestrian delay due to the conflicts. The simulation results indicate that the cellular automata is an effective simulation platform for investigating complex pedestrian-related traffic phenomenon at signalized intersections.

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