Data-Driven, Real-Time Traffic Signal Optimization: A Distributed Approach

The vehicular transportation system is essentially a distributed computing system, but one with very limited communication and coordination abilities at present. These limitations are especially acute in light of the ambiguities of human interaction on the road and as the current standard system for signal coordination. The project team proposes to build on prior development of an improved system for traffic control, based on improved, reliable communication between a traffic signal controller and vehicles. The project team also aims to study how, in both partially and fully connected environments, the concepts of distributed computer operating systems, communication networks, and optimization algorithms can be leveraged to improve such a control system. The goal is a highly abstracted and modular system that can be implemented by any city to optimize their traffic control systems using a high-performance computing cluster. In this regard, the project team aims to create an adaptive intersection control system that greatly improves upon traditional adaptive systems: one which leverages the power of computing to provide performance optimizations humans could never deliver.

Language

  • English

Project

Subject/Index Terms

Filing Info

  • Accession Number: 01670184
  • Record Type: Research project
  • Source Agency: Data-Supported Transportation Operations and Planning Center
  • Contract Numbers: DTRT13-G-UTC58
  • Files: UTC, RiP
  • Created Date: May 23 2018 4:23PM