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  • Open Access

    ARTICLE

    How Do V2V and V2I Messages Affect the Performance of Driving Smart Vehicles?

    Abdullah Alsaleh1,2,*

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 2313-2336, 2023, DOI:10.32604/csse.2023.039682 - 28 July 2023

    Abstract Intelligent transportation systems (ITSs) are becoming increasingly popular as they support efficient coordinated transport. ITSs aim to improve the safety, efficiency and reliability of road transportation through integrated approaches to the exchange of relevant information. Mobile ad-hoc networks (MANETs) and vehicle ad-hoc networks (VANETs) are integral components of ITS. The VANET is composed of interconnected vehicles with sensitivity capabilities to exchange traffic, positioning, weather and emergency information. One of the main challenges in VANET is the reliable and timely dissemination of information between vehicular nodes to improve decision-making processes. This paper illustrates challenges in VANET… More >

  • Open Access

    ARTICLE

    Whale Optimization Algorithm-Based Deep Learning Model for Driver Identification in Intelligent Transport Systems

    Yuzhou Li*, Chuanxia Sun, Yinglei Hu

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3497-3515, 2023, DOI:10.32604/cmc.2023.035878 - 31 March 2023

    Abstract Driver identification in intelligent transport systems has immense demand, considering the safety and convenience of traveling in a vehicle. The rapid growth of driver assistance systems (DAS) and driver identification system propels the need for understanding the root causes of automobile accidents. Also, in the case of insurance, it is necessary to track the number of drivers who commonly drive a car in terms of insurance pricing. It is observed that drivers with frequent records of paying “fines” are compelled to pay higher insurance payments than drivers without any penalty records. Thus driver identification act… More >

  • 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 Kim4, *

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2511-2527, 2020, DOI:10.32604/cmc.2020.09113 - 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… More >

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