Open Access

ARTICLE

Internet of Things Based Solutions for Transport Network Vulnerability Assessment in Intelligent Transportation Systems

Weiwei Liu¹, Yang Tang², Fei Yang², Chennan Zhang¹, Dun Cao³, Gwang-jun Kim^{4, *}

1 Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China.
2 Zhejiang University Urban and Rural Planning & Design Institute, Hangzhou, 310023, China.
3 School of Computer & Communication Engineering, Changsha University of Science & Technology, Changsha, 410004, China.
4 Department of Computer Engineering, Chonnam National University, Gwangju, 61186, Korea.

* Corresponding Author: Gwang-jun Kim. Email: .

Computers, Materials & Continua 2020, 65(3), 2511-2527. https://doi.org/10.32604/cmc.2020.09113

Received 12 November 2019; Accepted 02 August 2020; Issue published 16 September 2020

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.

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Citations