摘要: |
In order to achieve higher efficiency of travel in urban area, various kinds of Advanced Traveler Information System (ATIS) have been implemented during past decades. These systems, compared to existing policy that focused on building facilities, are considered to be preferable by the fact that they are all attempting to maximize utilization of previously existing facilities. To build an effective ATIS, it is important to develop the ATIS itself and provide good quality of data accumulation. Furthermore, it'll also critical to study and understand driver behaviors. According to recent empirical studies, understanding and modeling driver behavior under ATIS are keys to improve ATIS, because the performance of the ATIS is highly dependent on driver behavior. This study attempts to explore the decision-making process of a driver under ATIS based on the user survey on Variable Message Signs (VMS). VMS is the one of the most common deployed ATIS systems, which has been widely used to disseminate traffic information in many places. A VMS system usually designed and installed to display the real-time traffic information such as accident, construction, and congestion ahead for all drivers on same routes. One of functions of VMS is to maximize the network performance by reallocating the travel demand. To achieve the desired shifting of travel demand by VMS, positive driver response to the displayed information is critical. In this paper, the decision-making of a driver will be based on the driver's utility function, which is derived based on the results of survey. All of drivers on the same route share the same display information. A driver will consider other drivers' responses, while they make their own decision besides the VMS information itself. Therefore, a conceptual game of VMS users is designed based on utility functions to explain the driver behavior based on the Game Theory. In general, the Game Theory is concerned with how rational individuals make decisions when they are mutually interdependent. In recent years, this theory has been increasingly applied to various economic and decision-making issues. There are two main reasons that the Game Theory is useful for studying driver behavior under ATIS. First, the travel time of a driver on a route is heavily dependent on the decisions of other drivers. The primary benefit from ATIS is achieved if at least some of the drivers choose an alternative route. Second, travel time, which is one of main factors that drivers user in making their decisions, can be utilized as the "pay-off" in a Game Theory. |