Weather-Dependent Road Travel Time Forecasting Using a Neural Network

This paper on weather-dependent road travel time forecasting is from the proceedings of 14th international Conference on Urban Transport and the Environment in the 21st Century, which was held in Malta in 2008. The authors note that the estimation and prediction of link travel times in a road traffic network are critical for many intelligent transportation system (ITS) applications, including the route guidance system (RGS), advanced traveler information system (ATIS) and freeway traffic management system (FTMS). The identification of the optimal routes is particularly important for trips where the travel time is relatively long and where it is unlikely that the current travel time will remain stable. The authors propose a new system for travel time forecasting based on a multilayer feedforward neural network. Their study used both historical and real-time data (which can be provided by loop detectors and sensors positioned along the roads) as inputs for the neural network that returns the short-term travel time needed to traverse the relevant road section. Data used to train and test the neural network were generated using a simulator that is influenced by deterministic (e.g.road type) and stochastic (e.g.weather, visibility) parameters. The authors conclude that better travel time forecasting is obtained using weather conditions as part of the input process.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9781845641238
• Corporate Authors:

  WIT Press

  Ashurst Lodge
  Ashurst, Southampton  United Kingdom  SO40 7AA
• Authors:
  • Ghiani, G
  • Gulli, D
  • Mari, F
  • Simino, R
  • Trunfio, R
• Conference:
  • Urban Transport XIV: Urban Transport and the Environment in the 21st Century
  • Date: 2008-9-1 to 2008-9-3
• Publication Date: 2008

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 505-514
• Monograph Title: Urban Transport XIV. Urban Transport and the Environment in the 21st Century

Subject/Index Terms

• TRT Terms: Advanced traveler information systems; Forecasting; Intelligent transportation systems programs; Mathematical prediction; Neural networks; Route choice; Route guidance; Simulation; Stochastic processes; Travel time; Weather
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I10: Economics and Administration; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01114015
• Record Type: Publication
• ISBN: 9781845641238
• Files: TRIS, ATRI
• Created Date: Oct 29 2008 10:14AM