@Article{cmc.2020.09113,
AUTHOR = {Weiwei Liu, Yang Tang, Fei Yang, Chennan Zhang, Dun Cao, Gwang-jun Kim},
TITLE = {Internet of Things Based Solutions for Transport Network  Vulnerability Assessment in Intelligent Transportation Systems},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {65},
YEAR = {2020},
NUMBER = {3},
PAGES = {2511--2527},
URL = {http://www.techscience.com/cmc/v65n3/40184},
ISSN = {1546-2226},
ABSTRACT = {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.},
DOI = {10.32604/cmc.2020.09113}
}