• DocumentCode
    2369815
  • Title

    Does traffic metering improve network performance efficiency?

  • Author

    Hajbabaie, Ali ; Benekohal, Rahim F.

  • Author_Institution
    Univ. of Illinois at Urbana - Champaign, Urbana, IL, USA
  • fYear
    2011
  • fDate
    5-7 Oct. 2011
  • Firstpage
    1114
  • Lastpage
    1119
  • Abstract
    Traffic metering at on-ramps in interstate highways has been widely used and led to desirable results. In urban transportation networks when demand reaches network capacity level, traffic metering may also increase network performance efficiency. In this paper, we apply different metering strategies to a case study network to see if they result in a different network operation and potentially a more efficient performance. To make sure if any observed differences in network performance efficiency is due to metering strategies and not due to an inappropriate signal timing, we determine near optimal signal timing of the network by using our Intelligent Dynamic Signal Timing Optimization Program (IDSTOP). IDSTOP incorporates Genetic Algorithms (GAs) with microscopic traffic simulation to find near-optimal signal timing parameters of the network. Our results showed that letting all traffic enter the network or metering a large portion of the traffic are not the best options. Instead metering around 20% of the traffic resulted in the best network performance in terms of average delay (16% reduction compared to no metering and 17% reduction compared to extremely heavy metering strategies), network throughput (18% increase compared to heavy metering), and average travel time (14% reduction compared to no metering and 10% reduction compared to heavy metering). Our findings suggested that in an urban network, there is an optimal point that sending more vehicles into the network than that deteriorates network performance efficiency.
  • Keywords
    genetic algorithms; road traffic; roads; simulation; transportation; GA; IDSTOP; genetic algorithms; intelligent dynamic signal timing optimization program; interstate highways; microscopic traffic simulation; network capacity level; network performance efficiency; on-ramps; traffic metering; urban transportation networks; Delay; Genetic algorithms; Mathematical model; Microscopy; Optimization; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    2153-0009
  • Print_ISBN
    978-1-4577-2198-4
  • Type

    conf

  • DOI
    10.1109/ITSC.2011.6083011
  • Filename
    6083011