脆弱性(计算)
计算机科学
智能交通系统
脆弱性指数
脆弱性评估
互联网
钥匙(锁)
传输网络
索引(排版)
计算机网络
计算机安全
运输工程
工程类
心理学
心理弹性
万维网
心理治疗师
生态学
气候变化
生物
作者
Weiwei Liu,Tao Yang,Fei Yang,Chennan Zhang,Dun Cao,Gwang-jun Kim
出处
期刊:Computers, materials & continua
日期:2020-01-01
卷期号:65 (3): 2511-2527
被引量:5
标识
DOI:10.32604/cmc.2020.09113
摘要
Intelligent Transportation System (ITS) is essential for effective identification of vulnerable units in the transport network and its stable operation. Also, it is necessary to establish an urban transport network vulnerability assessment model with solutions based on Internet of Things (IoT). Previous research on vulnerability has no congestion effect on the peak time of urban road network. The cascading failure of links or nodes is presented by IoT monitoring system, which can collect data from a wireless sensor network in the transport environment. The IoT monitoring system collects wireless data via Vehicle-to-Infrastructure (V2I) channels to simulate key segments and their failure probability. Finally, the topological structure vulnerability index and the traffic function vulnerability index of road network are extracted from the vulnerability factors. The two indices are standardized by calculating the relative change rate, and the comprehensive index of the consequence after road network unit is in a failure state. Therefore, by calculating the failure probability of road network unit and comprehensive index of road network unit in failure state, the comprehensive vulnerability of road network can be evaluated by a risk calculation formula. In short, the IoT-based solutions to the new vulnerability assessment can help road network planning and traffic management departments to achieve the ITS goals.
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