Traffic controlling and monitoring using IoT
Abstract The population is increasing the number of vehicles and the number of highways day after day; the time spent travelling, waste fuel, air pollution and related transport problems are also increasing. The greatest challenge for traffic administration authorities is therefore to monitor and mo...
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| Published in | Journal of physics. Conference series Vol. 2027; no. 1; pp. 12017 - 12027 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
IOP Publishing
01.09.2021
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| Subjects | |
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| Abstract | Abstract
The population is increasing the number of vehicles and the number of highways day after day; the time spent travelling, waste fuel, air pollution and related transport problems are also increasing. The greatest challenge for traffic administration authorities is therefore to monitor and monitor traffic. The related work has shown the Internet of Things and the integration of artificial intelligence to facilitate techniques for better urban and decisionmaking. This document creates a system model for IoT-based traffic information collection, processing and storing in real time. The aim is to ensure smooth mobility by providing roadside communications updates and rare incidents in real time. In particular, pre-alerting messages prevent and delay road congestion and peak hours in emergencies. The system also sends traffic updates from the database of administrative sensors. The system proposed evaluates the feature of the model and shows expected accurate results for vehicle detection and the minimum error in the estimates of occupancy. |
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| AbstractList | Abstract
The population is increasing the number of vehicles and the number of highways day after day; the time spent travelling, waste fuel, air pollution and related transport problems are also increasing. The greatest challenge for traffic administration authorities is therefore to monitor and monitor traffic. The related work has shown the Internet of Things and the integration of artificial intelligence to facilitate techniques for better urban and decisionmaking. This document creates a system model for IoT-based traffic information collection, processing and storing in real time. The aim is to ensure smooth mobility by providing roadside communications updates and rare incidents in real time. In particular, pre-alerting messages prevent and delay road congestion and peak hours in emergencies. The system also sends traffic updates from the database of administrative sensors. The system proposed evaluates the feature of the model and shows expected accurate results for vehicle detection and the minimum error in the estimates of occupancy. |
| Author | Chandraprabha, K. Kavitha, S. Vimalnath, S. Kalaichelvi, K. Vennila, C. Vijayaraj, M. |
| Author_xml | – sequence: 1 givenname: C. surname: Vennila fullname: Vennila, C. organization: Department of EEE, Alagappa Chettiar Government College of Engineering and Technology , India – sequence: 2 givenname: K. surname: Chandraprabha fullname: Chandraprabha, K. organization: Department of CSE, Alagappa Chettiar Government College of Engineering and Technology , India – sequence: 3 givenname: M. surname: Vijayaraj fullname: Vijayaraj, M. organization: Department of ECE, Government College of Engineering and Technology , India – sequence: 4 givenname: S. surname: Kavitha fullname: Kavitha, S. organization: Department of ECE, Nandha Engineering College , India – sequence: 5 givenname: S. surname: Vimalnath fullname: Vimalnath, S. organization: Department of ECE, Erode Sengunthar Engineering College , India – sequence: 6 givenname: K. surname: Kalaichelvi fullname: Kalaichelvi, K. organization: Department of ECE, VSB Engineering College , India |
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| Cites_doi | 10.1088/1752-7163/abc09b 10.1016/j.trpro.2018.12.099 10.1051/matecconf/20168104003 10.1016/j.bspc.2021.103060 10.1007/s11277-016-3501-8 10.1109/MPRV.2008.80 10.1088/1752-7163/ab09ae 10.2753/MIS0742-1222240302 10.1557/jmr.2016.460 10.1016/j.glt.2020.09.004 |
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The population is increasing the number of vehicles and the number of highways day after day; the time spent travelling, waste fuel, air pollution and... |
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| SubjectTerms | Internet of Things Sensors Traffic Controlling Traffic monitoring |
| Title | Traffic controlling and monitoring using IoT |
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