Connected Vehicle Technologies for Efficient Urban Transportation

Details

• Creators:
  Prasad, Ajay ; Advani, Suresh ; Shin, Hyeon-Shic
• Corporate Creators:
  University of Delaware. Dept. of Mechanical Engineering
• Corporate Contributors:
  United States. Department of Transportation. Office of the Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; Virginia Center for Transportation Innovation and Research
• Subject/TRT Terms:
  • Fuel cells
  • Durability
  • Buses
  • Energy consumption
  • Fuel cell vehicles
  • Hydrogen fuels
  • Mobile communication systems
  • Real time information
  • Simulation
  • Traffic data Connected vehicle technology
  More +
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States;Delaware
• Edition:
  Final 1/1/15 - 8/31/16
• Corporate Publisher:
  Mid-Atlantic Transportation Sustainability University Transportation Center
• Abstract:
  Connected vehicle technology is employed to optimize the vehicle's control system in real-time to reduce congestion, improve fuel economy, and reduce emissions. This project's goal was to develop a two-way communication system to upload vehicle data to a server at the Traffic Management Center (TMC) or to other servers in real-time, and download traffic information from TMC or other sources to the vehicle. To pursue this task, a computational optimization model was developed in order to send the optimal control strategies to the vehicle. The model's results were analyzed to evaluate reductions in traffic congestion and improvements in vehicle efficiency and fuel economy. The optimization module was integrated with an on-board control system to maximize fuel efficiency based on real-time traffic inputs and navigational guidance. Durability was also added to the optimization model to improve the lifetime of fuel cell system. The ultimate goal is to implement an intelligent power management system to optimize fuel consumption, emission and durability all at the same time leveraging real-time traffic information.
• Format:
  PDF
• Funding:
  DTRT13-G-UTC33
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/34776/dot_34776_DS1.pdf
• File Type:
  [PDF - 5.39 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:242877da856ff25dc31839044b3c95079f3bc6fdba74acbdb5d1f3686f7b2dc8ce0c6247394e787628bda8c5a4d15d55504f3665994f225cb421776af9bed484