A distributed dynamic route guidance approach based on short-term forecasts in cooperative infrastructure-vehicle systems

This paper proposes and implements a simulation-based Distributed Dynamic Route Guidance System (DDRGS) by using the latest data collection and communication techniques in Cooperative Vehicle-Infrastructure Systems (CVIS). The framework and data processing procedure of DDRGS are designed by considering practical characteristics together with users' demands. Then, the authors formulate an integrated guidance model, which is based on Kalman filter short-term predicting information. A time-dimension factor is particularly introduced into the considered network with an innovative hierarchical scheme. Correspondingly, an improved Dijkstra algorithm for the guidance model is developed to find the optimal route. Further, the authors elaborately coordinate the DDRGS with the online map and other plug-in tools. The developed system shows that the approach proposed in this paper is available and effective for real-world applications.

• Record URL:
  • https://doi.org/10.1016/j.trd.2018.05.005
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1361920916305326
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • © 2018 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Wang, Jianqiang
  • Niu, Huimin
• Publication Date: 2019-1

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 23-34
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 66
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Advanced driver information systems; Connected vehicles; Kalman filtering; Simulation; Traffic forecasting; Vehicle to infrastructure communications
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01693104
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 19 2019 11:53AM