Fuel-optimal path finding algorithm using traffic information at Urban intersection

Jooin Lee, Hyeongcheol Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Intelligent Transportation System (ITS) is actively studied as the sensor and communication technology in the vehicle develops. The Intelligent Transportation System collects, processes, and provides information on the location, speed, and acceleration of the vehicles in the intersection. This paper proposes a fuel optimal route decision algorithm. The algorithm estimates traffic condition using information of vehicles acquired from several ITS intersections and determines the route that minimizes fuel consumption by reflecting the estimated traffic condition. Simplified fuel consumption models and road information (speed limit, average speed, etc.) are used to estimate the amount of fuel consumed when passing through the road. Dynamic Programming (DP) is used to determine the route that fuel consumption can be minimized. This algorithm has been verified in an intersection traffic model that reflects the actual traffic environment (Korea Daegu Technopolis) and the corresponding traffic model is modeled using AIMSUN.

Original languageEnglish
Title of host publication18th International Conference on Modeling and Applied Simulation, MAS 2019
EditorsAgostino G. Bruzzone, Fabio De Felice, Luis Miguel Silva Dias, Marina Massei, Adriano Solis
PublisherDime University of Genoa
Pages38-43
Number of pages6
ISBN (Electronic)9788885741300
StatePublished - 2019 Jan 1
Event18th International Conference on Modeling and Applied Simulation, MAS 2019 - Lisbon, Portugal
Duration: 2019 Sep 182019 Sep 20

Publication series

Name18th International Conference on Modeling and Applied Simulation, MAS 2019

Conference

Conference18th International Conference on Modeling and Applied Simulation, MAS 2019
Country/TerritoryPortugal
CityLisbon
Period19/09/1819/09/20

Keywords

  • Advanced Interactive Microscopic Simulator for Urban and Non-Urban Networks (AIMSUN)
  • Dynamic Programming(DP)
  • Fuel consumption
  • Intelligent Transportation Systems(ITS)
  • Traffic information

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