Safety impacts of red light cameras at signalized intersections based on cellular automata models.

Abstract:

OBJECTIVE:This study applies a simulation technique to evaluate the hypothesis that red light cameras (RLCs) exert important effects on accident risks. Conflict occurrences are generated by simulation and compared at intersections with and without RLCs to assess the impact of RLCs on several conflict types under various traffic conditions. METHOD:Conflict occurrences are generated through simulating vehicular interactions based on an improved cellular automata (CA) model. The CA model is calibrated and validated against field observations at approaches with and without RLCs. Simulation experiments are conducted for RLC and non-RLC intersections with different geometric layouts and traffic demands to generate conflict occurrences that are analyzed to evaluate the hypothesis that RLCs exert important effects on road safety. RESULTS:The comparison of simulated conflict occurrences show favorable safety impacts of RLCs on crossing conflicts and unfavorable impacts for rear-end conflicts during red/amber phases. Corroborative results are found from broad analysis of accident occurrence. CONCLUSIONS:RLCs are found to have a mixed effect on accident risk at signalized intersections: crossing collisions are reduced, whereas rear-end collisions may increase. The specially developed CA model is found to be a feasible safety assessment tool.

journal_name

Traffic Inj Prev

authors

Chai C,Wong YD,Lum KM

doi

10.1080/15389588.2014.942418

subject

Has Abstract

pub_date

2015-01-01 00:00:00

pages

374-9

issue

4

eissn

1538-9588

issn

1538-957X

journal_volume

16

pub_type

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