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@article{147276,
        author = {Vidushi Bhadola and Dr. Neha Agrawal},
        title = {Smart Transportation System using IOT},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {6},
        pages = {342-346},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=147276},
        abstract = {Logistics is a process which ensures efficient and cost-effective flow of goods and people and therefore, it is called as the backbone of every economy. In India itself, the road transportation industry accounted for 3.2 per cent of GDP in the year 2013/14.  Also, with a surge in the number of taxis and trucks in the country due to increase in demand of the logistics sector, the accidents related to drunk driving and late alert of accident have drastically increased. Out of 5 lakh annual road accidents in India, more than 60% are caused due to the menace of driving under the influence of alcohol consumption. It is practically impossible for the owners of these cabs and truck drivers to keep a track of the activities of the drivers and accidents of these vehicles. The Indian Logistics sector is thus a highly unorganized sector, which leads to a lack of seamless movement of goods and people from one place to another. This project is aimed at outlining some of the key challenges faced by the logistics industry and providing a solution for the same. This paper provides a solution called as a SMART TRANSPORTATION SYSTEM built using the power of IOT - Internet Of Things. This solution makes use of sensors and the IOT technology to track the activities of the drivers and notify the owners to take the right action},
        keywords = {Accident alert, Drunk Driver, IOT, MQ-3 Sensor, Raspberry Pi, Shock Sensor},
        month = {},
        }