Urban Traffic Microcirculation Network Optimization Based on Bi-Level Multi-Goal Programming

Abstract

Aiming at maximizing traffic network efficiency, alleviating environmental pollution and minimizing reconstruction cost, this paper develops a bi-level multi-goal programming for traffic microcirculation on urban network: the upper level concerns about branch way expansion and mixing network design problem, the lower level is a combination model that both follows the user-equilibrium and balance of traffic flow. Then, the paper solves the model by using the genetic algorithm. This paper sheds lights on traffic microcirculation projects’ decision-making and construction process. 1. INTRODUCTION In recent years, car parc of many cities is increasing in an alarming rate, urban network construction can barely keep the pace with the growing traffic demand, the traffic supply and demand balance is almost broken. The increasingly serious traffic congestion is becoming many cities’ major concern. Although a number of cities alleviate it by taking the practices such as urban rail transit construction, Intelligent Transportation System implementation, traffic flow organization and traffic demand management, the traffic congestion on those cities’ arterial roads still remains a problem. In contrast, for low road levels, dead ends and entry control, many branch ways are left unused. If properly optimized and utilized, these branch ways can not only alleviate arterial roads’ traffic congestion but also serve blocks’ internal trips better. Urban traffic microcirculation is a control method that keeps traffic flow smooth on non-arterial network including secondary trunk roads and branch ways (including ally, narrow streets and makeshift streets). In other words, urban traffic microcirculation expects sub-arterials and branch ways not only meet the zonal traffic