Smart Transportation System using IOT
Deeplaxmi V. Niture1, Vivekanand Dhakane2, Piyush Jawalkar3, Ankit Bamnote4

1Dr. Deeplaxmi V. Niture*, Department of Electronics and Telecommunication Engineering. College of Engineering Pune (COEP) Pune, India.
2Vivekanand Dhakane, Department of Electronics and Telecommunication Engineering. College of Engineering Pune (COEP) Pune, India.
3Piyush Jawalkar, Department of Electronics and Telecommunication Engineering. College of Engineering Pune (COEP) Pune, India.
4Ankit Bamnote, Department of Electronics and Telecommunication Engineering. College of Engineering Pune (COEP) Pune, India. 

Manuscript received on June 20, 2021. | Revised Manuscript received on June 26, 2021. | Manuscript published on June 30, 2021. | PP: 434-438 | Volume-10 Issue-5, June 2021. | Retrieval Number: 100.1/ijeat.E28700610521 | DOI: 10.35940/ijeat.E2870.0610521
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper a Smart Vehicle Assistance and Monitoring system (SVAMS) is presented. SVAMS is an intelligent transportation system (ITS), developed to tackle various traffic related issues. It is a traffic management, monitoring and optimization solution in which all the vehicles are interconnected through Zigbee and are monitored and assisted centrally, by a data center. The system has two parts; one part is mounted in/on the vehicle and the other part is at the data centre. Part one collects data from various sensors and transmits it to central data centre. All the data will be stored on cloud for further analysis, processing and future use. SVAMS is relatively low-cost, compact and has various functionalities such as emergency response, pollution level monitoring, automatic toll collection, traffic rule violation detection, vehicle tracking, etc. The use of SVAMS will help to build up Clean, Corruption free and Crime free (C-3) cities.
Keywords: Emergency services, message passing, vehicle safety, wireless mesh network, ZigBee.