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  • Open Access

    ARTICLE

    Smartphone-Based Wi-Fi Analysis for Bus Passenger Counting

    Mohammed Alatiyyah*

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 875-907, 2024, DOI:10.32604/cmc.2024.047790

    Abstract In the contemporary era of technological advancement, smartphones have become an indispensable part of individuals’ daily lives, exerting a pervasive influence. This paper presents an innovative approach to passenger counting on buses through the analysis of Wi-Fi signals emanating from passengers’ mobile devices. The study seeks to scrutinize the reliability of digital Wi-Fi environments in predicting bus occupancy levels, thereby addressing a crucial aspect of public transportation. The proposed system comprises three crucial elements: Signal capture, data filtration, and the calculation and estimation of passenger numbers. The pivotal findings reveal that the system demonstrates commendable accuracy in estimating passenger counts… More >

  • Open Access

    ARTICLE

    Multiple Extreme Learning Machines Based Arrival Time Prediction for Public Bus Transport

    J. Jalaney1,*, R. S. Ganesh2

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2819-2834, 2023, DOI:10.32604/iasc.2023.034844

    Abstract Due to fast-growing urbanization, the traffic management system becomes a crucial problem owing to the rapid growth in the number of vehicles The research proposes an Intelligent public transportation system where information regarding all the buses connecting in a city will be gathered, processed and accurate bus arrival time prediction will be presented to the user. Various linear and time-varying parameters such as distance, waiting time at stops, red signal duration at a traffic signal, traffic density, turning density, rush hours, weather conditions, number of passengers on the bus, type of day, road type, average vehicle speed limit, current vehicle… More >

  • Open Access

    ARTICLE

    Efficient Network Selection Using Multi-Depot Routing Problem for Smart Cities

    R. Shanthakumari1, Yun-Cheol Nam2, Yunyoung Nam3,*, Mohamed Abouhawwash4,5

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1991-2005, 2023, DOI:10.32604/iasc.2023.033696

    Abstract Smart cities make use of a variety of smart technology to improve societies in better ways. Such intelligent technologies, on the other hand, pose significant concerns in terms of power usage and emission of carbons. The suggested study is focused on technological networks for big data-driven systems. With the support of software-defined technologies, a transportation-aided multicast routing system is suggested. By using public transportation as another communication platform in a smart city, network communication is enhanced. The primary objective is to use as little energy as possible while delivering as much data as possible. The Attribute Decision Making with Capacitated… More >

  • Open Access

    ARTICLE

    Convolutional Neural Network for Overcrowded Public Transportation Pickup Truck Detection

    Jakkrit Suttanuruk1, Sajjakaj Jomnonkwao1,*, Vatanavong Ratanavaraha1, Sarunya Kanjanawattana2

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5573-5588, 2023, DOI:10.32604/cmc.2023.033900

    Abstract Thailand has been on the World Health Organization (WHO)’s notorious deadliest road list for several years, currently ranking eighth on the list. Among all types of road fatalities, pickup trucks converted into vehicles for public transportation are found to be the most problematic due to their high occupancy and minimal passenger safety measures, such as safety belts. Passenger overloading is illegal, but it is often overlooked. The country often uses police checkpoints to enforce traffic laws. However, there are few or no highway patrols to apprehend offending drivers. Therefore, in this study, we propose the use of existing closed-circuit television… More >

  • Open Access

    ARTICLE

    A Multi-Mode Public Transportation System Using Vehicular to Network Architecture

    Settawit Poochaya1,*, Peerapong Uthansakul1, Monthippa Uthansakul1, Patikorn Anchuen2, Kontorn Thammakul3, Arfat Ahmad Khan4, Niwat Punanwarakorn5, Pech Sirivoratum5, Aranya Kaewkrad5, Panrawee Kanpan5, Apichart Wantamee5

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5845-5862, 2022, DOI:10.32604/cmc.2022.031162

    Abstract The number of accidents in the campus of Suranaree University of Technology (SUT) has increased due to increasing number of personal vehicles. In this paper, we focus on the development of public transportation system using Intelligent Transportation System (ITS) along with the limitation of personal vehicles using sharing economy model. The SUT Smart Transit is utilized as a major public transportation system, while MoreSai@SUT (electric motorcycle services) is a minor public transportation system in this work. They are called Multi-Mode Transportation system as a combination. Moreover, a Vehicle to Network (V2N) is used for developing the Multi-Mode Transportation system in… More >

  • Open Access

    ARTICLE

    Live Data Analytics with IoT Intelligence-Sensing System in Public Transportation for COVID-19 Pandemic

    Abdullah Alamri1,*, Sultan Alamri2

    Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 441-452, 2021, DOI:10.32604/iasc.2021.015198

    Abstract The COVID-19 pandemic has presented an unprecedented challenge to the entire world. It is a humanitarian crisis on a global scale. The virus continues to spread throughout nations, putting health systems under enormous pressure in the battle to save lives. With this growing crisis, companies and researchers worldwide are searching for ways to overcome the challenges associated with this virus. Also, the transport sector will play a critical role in revitalizing economies while simultaneously containing the spread of COVID-19. As the virus is still circulating, the only solution is to redesign public transportation to make people feel safe. In this… More >

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