Driver Behavior Model for ITS Evaluation System
نویسندگان
چکیده
17 Driver Behavior Model for ITS Evaluation System Makoto Kano Tomoyoshi Shiraishi Masao Kuwahara *3 Center for Collaborative Research, University of Tokyo *1 (4-6-1 Komaba, Meguro, Tokyo 153-8505 JAPAN, +81-3-5452-6565, [email protected]) Center for Collaborative Research, University of Tokyo *2 (4-6-1 Komaba, Meguro, Tokyo 153-8505 JAPAN, +81-3-5452-6565, [email protected]) Institute of Industrial Science, University of Tokyo (4-6-1 Komaba, Meguro, Tokyo 153-8505 JAPAN, +81-3-5452-6419, [email protected])
منابع مشابه
Intelligent Control System Design for Car Following Maneuver Based on the Driver’s Instantaneous Behavior
Due to the increasing demand for traveling in public transportation systems and increasing traffic of vehicles, nowadays vehicles are getting to be intelligent to increase safety, reduce the probability of accident and also financial costs. Therefore, today, most vehicles are equipped with multiple safety control and vehicle navigation systems. In the process of developing such systems, simulat...
متن کاملMANFIS Based Modeling and Prediction of the Driver-Vehicle Unit Behavior in Overtaking Scenarios
Overtaking a slow lead vehicle is a complex maneuver because of the variety of overtaking conditions and driver behavior. In this study, two novel prediction models for overtaking behavior are proposed. These models are derived based on multi-input multi-output adaptive neuro-fuzzy inference system (MANFIS). They are validated at microscopic level and are able to simulate and predict the fut...
متن کاملDeveloping a Model of Heterogeneity in Driver’s Behavior
Intelligent Driver Model (IDM) is a well-known microscopic model of traffic flow within the traffic engineering societies. While it is a powerful technique for modeling traffic flows, the Intelligent Driver Model lacks the potential of accommodating the notion of drivers’ heterogeneous behavior whenever they are on roads. Concerning the above mentioned, this paper takes the lane to recognize th...
متن کاملLane Change Trajectory Model Considering the Driver Effects Based on MANFIS
The lane change maneuver is among the most popular driving behaviors. It is also the basic element of important maneuvers like overtaking maneuver. Therefore, it is chosen as the focus of this study and novel multi-input multi-output adaptive neuro-fuzzy inference system models (MANFIS) are proposed for this behavior. These models are able to simulate and predict the future behavior of a Dri...
متن کاملFuzzy Sliding Mode Control System Design for Car- Following Behavior in Real Traffic Flow
In this paper a control system has been designed to improve traffic conditions in car following maneuver. There are different methods to design a control system. In this paper design approach is based on the Fuzzy sliding mode control (FSMC) system. The aim of designing FSMC system is to achieve safe and desire longitudinal distance and less lateral displacement. In orde...
متن کامل