Developing and Field Implementing a Dynamic Eco-Routing System

The study develops two different eco-routing systems and uses them to investigate and quantify the system-wide impacts of implementing an eco-routing system. The first one is basically a Nash Equilibrium feedback system, which uses the Ant Colony optimization approach; Ant Colony based ECO-routing technique (ACO-ECO). The comparison shows that the enhanced ACO-ECO algorithm reduces the network-wide fuel consumption and CO2 emission levels in the range of 2.3% to 6.0%, and reduces the average trip time by approximately 3.6% to 14.0% compared to the ECO-Subpopulation Feedback Assignment or ECO-SFA. The second developed eco-routing system is a system optimum eco-routing technique, the Linear Programming Feedback Eco-routing System (LPS-ECO), that can better utilize the road network resources. The LPS-ECO load-balances the traffic, so, it reduces the traffic congestion, consequently, minimizes the system wide fuel consumption and emission levels. The LPS-ECO is compared to the shortest-path-based eco-routing that is based on ECOSFA. The comparison shows that for high traffic demands the LPS-ECO produces fuel consumption savings that reach 38%. LPS-ECO also produces savings in travel time in most of the cases. The study also developed a model to realistically simulate the eco-routing system in a connected vehicle environment and quantifies the impact of the communication performance on the eco-routing. The study shows that the communication can significantly affect the eco-routing system.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; References; Tables;
  • Pagination: 39p

Subject/Index Terms

Filing Info

  • Accession Number: 01644751
  • Record Type: Publication
  • Report/Paper Numbers: N17-003
  • Contract Numbers: DTRT12GUTC17
  • Files: UTC, NTL, TRIS, ATRI, USDOT
  • Created Date: Jul 31 2017 2:00PM