Recommendation Based on Prediction of Commuter Flow and Occupancy in Bus Transport
M.Sreekrishna1, N.Sankarram2, Dinesh Sha3, Dakshin4, Ashwini5
1M.Sreekrishna, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India.
2N.Sankarram, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai.
3Dinesh Sha, UG Scholar, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai.
4Dakshin, UG Scholar, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai.
5Ashwini, UG Scholar, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai.
Manuscript received on 15 August 2019. | Revised Manuscript received on 24 August 2019. | Manuscript published on 30 September 2019. | PP: 8302-8305 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6595098319/2019©BEIESP | DOI: 10.35940/ijrte.C6595.098319
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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: The current public transportation in India is found to have higher traffic congestion levels within the bus and is an inefficient transport system for the public. The traffic and the over congested public transports we see on the roads is an effect of this problem. Increasing the public transportation is not the only solution, to make it better we also need to make it smarter. Though there are many other proposals for smart transportation we have come up with a unique way of approaching it. The aim is to provide smartness to the existing transportation system so that it becomes efficient and user-friendly for the public. The public need not depend on the paper tickets anymore and instead can have an smart RF ID with themselves which is not a big issue since its just credit card sized. One big advantage with this system is that public who are waiting to board can know the number of passengers in the vehicle and can decide whether to board or not beforehand. By this way the higher authorities can also see if there is a scarcity in any particular route and can immediately send more vehicles in the particular route. Using this technique, the congestion of the vehicles can be reduced and it will be easier for the public to make use of the public transportation system.
Keywords: Smart Transportation, RFID, Access, Congestion, Prediction
Scope of the Article: Regression and Prediction