چکیده مقاله
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 R2 of 0 853 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
کلیدواژهها
نویسندگان
Foad Shokri
PhD of transportation, Mashhad Traffic & Transportation organization
Mani Hazeghi
M S C in road & transportation, Mashhad Traffic & Transportation organization
Farshad Firoozei
M S C in road & transportation, Mashhad Traffic & Transportation organization
Reza Norouzi
PhD candidate of road & transportation, Mashhad Traffic & Transportation organization
شیوه ارجاع
Shokri, Foad and Hazeghi, Mani and Firoozei, Farshad and Norouzi, Reza,1394,A Novel Algorithm for Predicting Travel Time Navigation System,The 14th International Conference on Traffic and Transportation Engineering,Tehran
ارائهشده در
مجموعه مقالات چهاردهمین کنفرانس بین المللی مهندسی حمل و نقل و ترافیک5 اسفند 1393 · تهران