Multi-objective signal control of urban junctions – Framework and a London case study |
| |
Authors: | Jan-Dirk Schmcker Sonal Ahuja Michael GH Bell |
| |
Institution: | aDepartment of Civil and Environmental Engineering, Imperial College London, Exhibition Road, London SW7 2AZ, UK |
| |
Abstract: | This paper presents an approach to multi-objective signal control using fuzzy logic. The signal control uses fuzzy logic where the membership functions are optimised according to the Bellman–Zadeh principle of fuzzy decision-making. This approach is both practical for the decision-maker and efficient, as it leads directly to a Pareto-optimal solution. Signal control priorities are ultimately a political decision. Therefore the tool developed in this research allows the traffic engineer to balance the objectives easily by setting acceptability and unacceptability thresholds for each objective. Particular attention is given in the example to pedestrian delays. The membership functions of the fuzzy logic are optimised by a genetic algorithm coupled to the VISSIM microscopic traffic simulator. The concept is illustrated with a case study of the Marylebone Road–Baker Street intersection in London at which pedestrians as well as vehicle flows are high. The results prove the feasibility of the framework and show the vehicle delays for a more pedestrian friendly signal control strategy. |
| |
Keywords: | Traffic signal control Multi-objective optimisation Bellman– Zadeh principle Fuzzy logic Genetic algorithms |
本文献已被 ScienceDirect 等数据库收录! |