Investigator: Qing He
Funding Source: Region 2 University Transportation Research Center
Abstract: One critical task in regional traffic signal operations is how to establish different objectives and policies for varying arterial or subnetwork types. A typical urban network usually consists of different subnetwork types, such as central business district (CBD), suburban areas, and rural areas. The heterogeneous objective naturally arises for traffic signal operations on such different subnetworks.
Very few literatures can be found to explicitly address the signal control problem in heterogeneous subnetworks. A majority of previous work focuses on multi-objective control in the entire network, single objective (e.g. network delay) across different regions, or across different traffic modes.
The objective of this project is to develop a mathematical framework to model heterogeneous objective traffic signal control for different subnetworks, assuming a data rich environment is already established. We consider the proposed multi-objective signal optimization model as a problem of Multidisciplinary Design Optimization (MDO), which has been widely implemented in automobile and aircraft design, involve interactions among several disciplines. We will also leverage most recent research findings in urban area traffic control with Macroscopic Fundamental Diagram (MFD), which provides us a general rule to control traffic within the capacity of network flow.