A Novel Algorithm for Predicting Travel Time Navigation System

The new government policy is to encourage people to motivate the travelers toswitch from private vehicles to public transportation network. In the meantime,employing the intelligent transport system which consist of two parts includedprivate sector and public sector by predicting the dynamic travel time can help totraveler to be aware of the latest traffic information. To achive the specifiedobjective, the calculation of traffic flow, demand of passenger and transportmeans availability are vital to consider in this study. Equiblirium algorithm is acrucial methodology part for predicting the trip assignment. This articlerepresents a server and cloient windows to allow travelers to access to the latestdynamic traffic information. For this purpose the traveller are able to be aware ofthe travel time and other details of the travel route via the internet or SMSsystem. Hence, a case study based on an actual public and private network inMashhad, Iran is chosen as a case study area. The result shows that the accuracyof the proposed method indicated reasonable R۲ of ۰.۸۵۳ for the evening rushtraffic period. This indicates that the TSP developed in the present study is areliable and suitable tool to guide travelers and Companies.

Keywords:

Equiblirium algorithm , traffic assignment , multi-modal , ITS , delay time