An analytical framework for vehicular traffic signal control integrated with dynamic traffic assignment using cell transmission model

Abstract

This work presents two analytical models for the traffic signal control problem within dynamic traffic assignment framework. The bi-level formulation is based on a Stackelberg Duopoly game where the upper level objective is to determine optimal signal timing plans with the lower level representing a dynamic user equilibrium conditions. In addition, a single level system optimal model is proposed. Cell transmission model is adapted as the embedded traffic flow model in the form of a mathematical program. The single level program is solved and tested on a network containing multiple signalized intersections. It is found that the proposed model performs better than pre-timed signal timing plans.

Performance evaluation of integrated strategy of vehicle route guidance and traffic signal control using traffic simulation

“…Two main approaches also addressed the interactions between route guidance and signal control: the iterative procedure deals with the signal control and assignment iteratively [3,7,8], and the global optimisation approach aims at the global optimisation solution of the signal control and assignment problem [9][10][11]. However, many researchers proposed solutions that are still computationally expensive due to the large amount of variables describing the traffic dynamics and user route choices, even for a medium-sized traffic network [12,13]. Given the increasing network scale, it remains impossible to implement the proposed optimisation approaches for practical applications in the near future.…”