Urban Oversaturated Traffic Network Control Based on Stability Preference Multi-Objective Compatible Optimization Control

Abstract:

To solve the traffic congestion control problem on oversaturated network, the control problem is formulated as a conflicted multi-objective control problem., a new stability preference multi-objective compatible optimization control(SPMOCC) algorithm is proposed to solve the conflicted multi-objective control problem. In the proposed SPMOCC algorithm, NSGA-II algorithm is adjusted by proposing non-even Pareto front spread preserving strategy to obtain some special area on the Pareto front; a stability preference selection strategy is proposed to obtain stable controller. The proposed SPMOCC is used to solve the oversaturated traffic network control problem in a core area of 11 junctions under the simulation environment. It is proved that the proposed compatible optimization control algorithm can handle the oversaturated traffic network control problem effectively than the fixed time control method.

• Periodical: Applied Mechanics and Materials (Volume 151)
• Pages: 503-509
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.151.503
• Online since: January 2012
• Authors: Juan Chen, Qing Song Hu, Xiang Yang Sun
• Keywords: Compatible Optimization Control, Multi-Objective Optimization (MOP), Non-Even Pareto Front, Oversaturated Traffic Network Control, Stability Preference Selection

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