Heterogeneous regional signal control : final report.

Details

• Creators:
  He, Qing
• Corporate Creators:
  State University of New York at Buffalo. Department of Civil, Structural, and Environmental Engineering
• Corporate Contributors:
  University Transportation Research Center
• Subject/TRT Terms:
  • Traffic signal controllers
  • Sensors
  • Multimodal transportation
  • Smartphones
  • Mobile applications
  • Traffic signal control systems
  • Connected vehicles
  • floating sensors
  • hierarchically responsive signal system
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final report
• Corporate Publisher:
  University Transportation Research Center
• Abstract:
  The goal of this project is to develop a comprehensive framework with a set of models to improve multi-modal traffic signal control, by incorporating advanced floating sensor data (e.g. GPS data, etc.) and traditional fixed sensor data (e.g. loop detectors, ; etc.). In order to accomplish this goal, we completed five tasks. First, we conduct a comprehensive survey with transportation professionals, who can bring up existing state-of-practice, open issues and future challenges in multi-modal traffic signal control. ; This survey also identifies the weights of travel modes under different scenarios. Second, by leveraging floating sensors (smartphones), we develop an online travel model identification algorithm and a smartphone app to automatically recognize ; people’s travel modes, including passenger cars, transit buses, light rail as well as bicycles and pedestrians (including both jogging ; and walking). Third, by analyzing large scale of 15,000 fixed sensors (loop detectors) in a transportation network, we build a ; compression theory based approach to identify the spatial and temporal anomaly condition in the traffic network, caused by day-today ; commuting or traffic incidents. Fourth, by using multi-modal trajectory data, we develop multi-modal signal control models ; with dynamic programming and leverage the results derived from previous tasks. Further, the proposed control model is evaluated ; by microscopic simulation VISSIM and externally developed signal control modules.
• Format:
  PDF
• Funding:
  UTRC/RF Grant No: 49198-15-27
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32384/dot_32384_DS1.pdf
• File Type:
  [PDF - 3.94 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:b468e26032c02c4e8723263b7a7dcca8074bcc3e4d40bdde229ff7ffca2a8693