Using mobile probes to inform and measure the effectiveness of traffic control strategies on urban networks.

Details

• Creators:
  Gayah, Vikash V. ; Rakha, Hesham ; Du, JIanhe ; Nagle, Andrew S.
• Corporate Creators:
  Pennsylvania State University ; Virginia Polytechnic Institute and State University
• Corporate Contributors:
  United States. Department of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Urban areas
  • Traffic congestion
  • Highway traffic control
  • Macroscopic traffic flow
  • Real time information
  • Probe vehicles
  • Traffic delays
  • Peak hour traffic
• Publication/ Report Number:
  MAUTC 2012-02
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Mid-Atlantic Universities Transportation Center
• Abstract:
  Urban traffic congestion is a problem that plagues many cities in the United States. Testing strategies to alleviate this ; congestion is especially challenging due to the difficulty of modeling complex urban traffic networks. However, recent work has ; shown that these complicated systems can be modeled in relatively simple ways by leveraging consistent relationships that ; exist between network-wide averages of pertinent traffic properties, such as average network flow, network density and the ; rate at which trips are completed. Using these “macroscopic” traffic models, various control strategies can be developed to ; mitigate congestion and improve network performance. However, the effectiveness of many of these strategies depends on the ; ability to estimate traffic conditions on the network in real-time. This jointly proposed research between Penn State and Virginia ; Tech investigated how real-time mobile vehicle probes can be combined with macroscopic urban traffic models to inform more ; efficient network-wide traffic control strategies. Additionally, this work will examine how the effectiveness of these strategies ; can be directly measured in the field using only mobile vehicle probe data. These two efforts can lead to more efficient control ; of downtown traffic networks and a reduction in vehicular delay during rush hour periods.
  More +
• Format:
  PDF
• Funding:
  DRTR12-G-UTC03
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/29031/dot_29031_DS1.pdf
• File Type:
  [PDF - 1.96 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:015027769411d43709b4367a7053c1238f5df572379fc9d4bb2956e44ec967a6abcf5a01fd709c0b6c8d40348a8f5c0005ef6240c111d3a16bd0d6f55ec01813