A unified framework for vehicle rerouting and travel behavior models

INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “TECHNOLOGY IN AGRICULTURE, ENERGY AND ECOLOGY” (TAEE2022)AIP Conference Proceedings(2022)

引用 0|浏览0
暂无评分
摘要
Traffic congestion is a formidable problem that is affecting the routine lives of people worldwide. A number of traffic control schemes have been introduced but still the problem is same. Virtual Traffic Light is one of the schemes introduced as a solution to traffic management at intersections. By selecting the right way in a distributed fashion at an intersection through Vehicle-to-Vehicle Communications. Through this scheme, we can manage the traffic at an intersection in a self-organized manner. Another factor for traffic is Travel behavior, It has become a significant research area due to its specific features for road safety support, human life safety support, and pillar for reducing traffic congestion environment. Hence, many methods and applications have been deployed to preserve and encourage Travel Behavior Modeling (TBM). The motivation behind this paper about a high level of traffic congestion which makes many other issues like high fuel consumption, wasted money and time delay, resulted in significant economic and productivity losses. TBM is one of the significant solutions for modeling travel behavior. The definition, characteristics, and classification of Travel Behavior Modeling are introduced. Addressing monitoring travel behavior is a challenging and time- demanding task that requires data sources for processing and analysis of travel behavior. Recently, several solutions were identified to address the challenges and issues of modeling travel behavior. Travel behavior Modeling, Virtual Traffic Lights and Novel Framework for Road Traffic Management is reviewed in this study. The research directions in the field are also introduced based on opportunities. Furthermore, research challenges are investigated, such as data security, adaptability, internet connectivity, and natural disaster.
更多
查看译文
关键词
travel behavior models,vehicle
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要