原文传递
The Car-Following model with the consideration of the drivers' attribute.
| 题名： | The Car-Following model with the consideration of the drivers' attribute. |
| 作者： | INOKUCHI-H (Nagoya Univ, Japan); KAWAKAMI-S (Nagoy Univ, Japan) |
| 关键词： | CONFERENCE-; 8525-; INTELLIGENT-TRANSPORT-SYSTEM; 8735-; FUZZY-LOGIC; 6485-; CAR-; 1243-; TRAFFIC-CONTROL; 0658-; TRAFFIC-FLOW; 0671-; SIMULATION-; 9103-; DRIVER-; 1772-; PERCEPTION-; 2229-; VEHICLE-SPACING; 0694- |
| 摘要： | A new Car-Following model based on Fuzzy Neural Networks is proposed in this study. First, extremely precise data on 16 test drivers of different attributes are collected by using GPS receiving apparatus. Next, the Car-Following model is built by use of Fuzzy Neural Networks. The collected data from the travel investigation of the drivers are provided as teaching data. Consequently, the developed models were adapted to actual states better than the previous. Although there are differences among the groups of drivers such as in awareness of the distance between two vehicles, the authors believe that it is possible to solve the mechanism of traffic problems as well as to evaluate the traffic policy amendments more accurately by incorporating these models into the microscopic road traffic simulation. (A*) For the covering abstract see ITRD E110327. |
| 总页数： | PROCEEDINGS OF 6TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS (ITS), HELD TORONTO, CANADA, NOVEMBER 8-12, 1999. 1999. pp- |
| 报告类型： | 科技报告 |
相关文献
- Linear Acceleration Car-Following Model Development and Validation
- Modeling Driver Behavior and Aggressiveness Using Biobehavioral Methods - Phase I.
- CAR-FOLLOWING UNDER CONGESTED CONDITIONS: EMPIRICAL FINDINGS
- APPLICATION OF CAR-FOLLOWING SYSTEMS TO QUEUE DISCHARGE PROBLEM AT SIGNALIZED INTERSECTIONS.
- APPLICATION OF CAR-FOLLOWING SYSTEMS IN MICROSCOPIC TIME-SCAN SIMULATION MODELS.
- Traffic Flow Theory and Characteristics 2013, Volume 1. Transportation Research Record: Journal of the Transportation Research Board, No. 2390.
检索历史
应用推荐
