Abstract
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.
Highlights
Intersections are the basic joints of urban roads, through which multidirection traffic flows pass
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 cellular automata simulation method can deal with the complexity and uncertainty of pedestrian movement process through properly describing traffic behavior rules rather than creating mathematical models. This simulation study based on the cellular automata method aims to 1 quantitatively evaluate crosswalk capacity, the number of traffic conflicts between pedestrians and vehicles, and pedestrian delay due to the conflicts at a signalized intersection and 2 explore how they are associated with pedestrian signal timing and crosswalk width
Summary
Intersections are the basic joints of urban roads, through which multidirection traffic flows pass. We choose the cellular automata as a simulation model to analyze the crossing behavior of pedestrians and their conflicts with vehicles in crosswalks at signalized intersections. The cellular automata simulation method can deal with the complexity and uncertainty of pedestrian movement process through properly describing traffic behavior rules rather than creating mathematical models. This simulation study based on the cellular automata method aims to 1 quantitatively evaluate crosswalk capacity, the number of traffic conflicts between pedestrians and vehicles, and pedestrian delay due to the conflicts at a signalized intersection and 2 explore how they are associated with pedestrian signal timing and crosswalk width
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