Hira Beenish and Tariq Javid and Muhammad Fahad and Adnan Ahmed Siddiqui and Ghufran Ahmed and Hassan Jamil Syed (2023) A novel markov model-based traffic density estimation Technique for intelligent transportation system. Sensors, 23. pp. 1-24.
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Abstract
An intelligent transportation system (ITS) aims to improve traffic efficiency by integrating innovative sensing, control, and communications technologies. The industrial Internet of things (IIoT) and Industrial Revolution 4.0 recently merged to design the industrial Internet of things–intelligent transportation system (IIoT-ITS). IIoT sensing technologies play a significant role in acquiring raw data. The application continuously performs the complex task of managing traffic flows effectively based on several parameters, including the number of vehicles in the system, their location, and time. Traffic density estimation (TDE) is another important derived parameter desirable to keep track of the dynamic state of traffic volume. The expanding number of vehicles based on wireless connectivity provides new potential to predict traffic density more accurately and in real time as previously used methodologies. We explore the topic of assessing traffic density by using only a few simple metrics, such as the number of surrounding vehicles and disseminating beacons to roadside units and vice versa. This research paper investigates TDE techniques and presents a novel Markov model-based TDE technique for ITS. Finally, an OMNET++-based approach with an implementation of a significant modification of a traffic model combined with mathematical modeling of the Markov model is presented. It is intended for the study of real-world traffic traces, the identification of model parameters, and the development of simulated traffic.
| Item Type: | Article |
|---|---|
| Keyword: | Industrial Internet of things ; Fourth industrial revolution ; Intelligent transportation system ; Traffic density estimation ; traffic efficiency; Markov model; connected vehicle; vehicle to Everything ; Dedicated short-range communication; Long-term evaluation |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television |
| Department: | FACULTY > Faculty of Computing and Informatics |
| Depositing User: | ABDULLAH BIN SABUDIN - |
| Date Deposited: | 20 Jul 2023 09:39 |
| Last Modified: | 20 Jul 2023 09:39 |
| URI: | https://eprints.ums.edu.my/id/eprint/36084 |
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