| Summary |
Yi-Lun Wang, 2008.06
Department of Transportation Technology and Management National Chiao Tung University
With advances in technology, the people extend their attention from receiving travel time information to the concern about the accuracy of the travel time information, which may be affected by many uncertainty factors such as traffic accidents, incidents, or variations of daily travel demand. The level of penetration of information and the response of travelers will in turn affect individual user's travel time and as well the total travel time of the system. In order to assess if the transport network could meet the travel demand in terms of probability, reliability of transport network is a representative measurement indicator.
Reliability of transport network is a topic in Advanced Traveler Information System (ATIS) of Intelligent Transportation Systems. Considering car navigation with real-time information is an application, if the system could provide information about traffic to users who is driving on the road, it is possible to divert the users, so as to reduce traveling cost. This is even pronounced when the traffic network system is degradable
In this research, users are divided into two classes for analysis: ATIS equipped users and non-ATIS users. Two models are developed to investigate the proposed problem. In the first model, traffic assignment model for multiple user classes is used, where traveler’s route choice behavior is in User Equilibrium (UE), and Monte Carlo simulation technique is used to simulate the daily variation of road capacity. The second model is a Stochastic User Equilibrium (SUE) formulation which can model the differences of information perceptions between the two groups of users.
Reliability of transport network is taken as an indicator in this research. With the results of simulation, ATIS system can improve the travel time of all users in the network, but the advantage of ATIS users over non-ATIS users is diminishing as the number of ATIS users (i.e. market penetration) increase. |
