원문정보
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초록
영어
Traffic system, in general, like ruralized/urbanized area expansion traffic or pedestrian signals, and footslogging crowds consist of many autonomous, intelligent entities, which are distributed over a large area and interact with each other to achieve certain goals. However, these entities many represent completely different things, like traffic lights, trucks or even road users. According to these entities, we aim at giving insight into the concept of adaptive vehicular agents. Additionally, different applications of multi-agent system to the traffic domain are presented. Furthermore, we propose to traffic flow models which describe driver’s behavior not only on a reactive but also on a cognitive level.
목차
Abstract
1. Introduction
2. Agent Scheduling Problems
2.1. Problem Definition
2.2. Adaptive Scheduling Approach for AVA Model
3. V-Network based Adaptive Schedule with Algorithms
4. Adaptive Vehicular Agent Discovery
5. Conclusions
Acknowledgement
References
1. Introduction
2. Agent Scheduling Problems
2.1. Problem Definition
2.2. Adaptive Scheduling Approach for AVA Model
3. V-Network based Adaptive Schedule with Algorithms
4. Adaptive Vehicular Agent Discovery
5. Conclusions
Acknowledgement
References
저자정보
참고문헌
자료제공 : 네이버학술정보