Model of violator detector network problem: A case study sioux falls network

Abstract

This paper focuses on planning detector locations in a general traffic network to maximize the expected benefit to catch the violators who are threat for public safety. We install the detectors on candidate locations where peoples or vehicles flow passing on the road. Model was then solved using two approaches: Detector Add and drop greedy heuristic and Genetics Algorithm. The results show that the Genetic Algorithm outperforms detector add and drop heuristic and solution is very close to optimum in terms of the number of detectors needed to detect expected number of violators and objective function.