Article ID Journal Published Year Pages File Type
4968634 Transportation Research Part C: Emerging Technologies 2017 22 Pages PDF
Abstract
The paper describes a new method of optimizing traffic signal settings. The area-wide urban traffic control system developed in the paper is based on the Bee Colony Optimization (BCO) technique. The BCO method is based on the principles of the collective intelligence applied by the honeybees during the nectar collecting process. The optimal (or near-optimal) values of cycle length, offsets, and splits are discovered by minimizing the total travel time of all network users travelling through signalized intersections. The set of numerical experiments is performed on well-known traffic benchmark network. The results obtained by the BCO approach are compared with the results found by Simulated Annealing (SA). It has been shown that the suggested BCO approach outperformed the SA.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Authors
, , ,