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

Abstract

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, we 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, we 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.