Abdul Kadar Muhammad Masum, Md. Kalim Amzad Chy, Iaamanur Rahman, Mohammad Nazim Uddin, Khairul Islam Azam
{"title":"An Internet of Things (IoT) based Smart Traffic Management System: A Context of Bangladesh","authors":"Abdul Kadar Muhammad Masum, Md. Kalim Amzad Chy, Iaamanur Rahman, Mohammad Nazim Uddin, Khairul Islam Azam","doi":"10.1109/ICISET.2018.8745611","DOIUrl":null,"url":null,"abstract":"With the fast growth of population, traffic congestion monitoring and control has become a great challenge. Increasing vehicles creates lots of problem like time wastage, fuel wastage, air and sound pollution, even death by getting stuck emergency vehicles. This paper proposes a real-time traffic management system (TMS) using the Internet of Things (IoT) and data analytics. Ultrasonic sensors are used to measure the traffic density. After analysing the sensor data, system controller sets traffic signal time by traffic management algorithm and also sends data to a cloud server through a Wi-Fi module. The proposed system can predict probable traffic congestion in the intersection point. If an emergency vehicle is detected, it gives priority, i.e. high signal duration to pass the intersection. In case of the signal violation, the system can identify the vehicle and charge a fine that is paid through Traffic Wallet mobile app. This proposed system is cost-effective, very simple to install and easy to maintain.","PeriodicalId":6608,"journal":{"name":"2018 International Conference on Innovations in Science, Engineering and Technology (ICISET)","volume":"15 1","pages":"418-422"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Innovations in Science, Engineering and Technology (ICISET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISET.2018.8745611","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
With the fast growth of population, traffic congestion monitoring and control has become a great challenge. Increasing vehicles creates lots of problem like time wastage, fuel wastage, air and sound pollution, even death by getting stuck emergency vehicles. This paper proposes a real-time traffic management system (TMS) using the Internet of Things (IoT) and data analytics. Ultrasonic sensors are used to measure the traffic density. After analysing the sensor data, system controller sets traffic signal time by traffic management algorithm and also sends data to a cloud server through a Wi-Fi module. The proposed system can predict probable traffic congestion in the intersection point. If an emergency vehicle is detected, it gives priority, i.e. high signal duration to pass the intersection. In case of the signal violation, the system can identify the vehicle and charge a fine that is paid through Traffic Wallet mobile app. This proposed system is cost-effective, very simple to install and easy to maintain.