An IoT Based Model for a Trucking Transport System Using Predictive Analytics

(Renuka Mahajan, Preetam Suman and Richa Misra)

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Abstract

The Internet of Things (IoT) has enormous potential to revolutionize the transport industry. IoT can be used to optimize mobility of goods and people, add transparency, update information, and provide convenience at lesser cost. Speed of transportation drives requirements of the trucking industry with sustainability, safety without stress. After reviewing current challenges of supply chain networks, this paper proposes a new solution for booking freight, integrating data from multiple sources using smart cloud-based solutions. This paper provides a solution using two modules. The first module is development of a mobile application for order updates and live monitoring of vehicles. The second module is an IoT device that works as an intelligent device by using sensors and microcontrollers. This results in organizations’ transparency on live monitoring of the status of their entire supply chain network, anticipating problems in advance, and providing immediate response to the problem. This paper has implications for organizations driven by enhanced customer expectations pertaining to lead time delivery services, product availability and reliability.

KEYWORDS
Intelligence transportation system, Internet of Things (IoT), trucking, logistics sector, smart city, smart transportation

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References

Ahmed, K.B., Bouhorma, M. and Ahmed, M.B. (2014). Age of big data and smart cities: privacy trade-off. International Journal of Engineering Trends and Technology (IJETT), 16(6), 298–304. 
Al-Sakran, H.O. (2015). Intelligent traffic information system based on integration of internet of things and agent technology. International Journal of Advanced Computer Science and Applications (IJACSA), 6(2), 37–43. 
Atzori, L., Iera, A. and Morabito, G. (2010). The internet of things: A survey. Computer networks, 54(15), 2787–805.
Bandyopadhyay, D. and Sen, J. (2011). Internet of things: Applications and challenges in technology and standardization. Wireless personal communications, 58(1), 49–69.
Bansal S. (2015). The Uber Freight Impact on the Trucking Industry in India. Available at: http://www.iamwire.com/2017/06/uber-freight-impact-truck-logistics-industry-india/154547 (accessed on 03/03/2020)
Bhutani A., Wadhwani P. (2019). Global Market Insights. Available at: https://www.gminsights.com/industry-analysis/vehicle-tracking-market (accessed on 03/03/2020)
BusinessWire (2017). Internet of Things Spending Forecast to Grow 17.9% in 2016 Led by Manufacturing, Transportation, and Utilities Investments, According to New IDC Spending Guide. Available at: https://www.businesswire.com/news/home/20170104005270/en/Internet-Things-Spending-Forecast-Grow-17.9-2016 (accessed on 03/03/2020)
Chaniotakis, E., Efthymiou, D. and Antoniou, C. (2020). ‘Data aspects of the evaluation of demand for emerging transportation systems’. In: E. Chaniotakis, D. Efthymiou and C. Antoniou (eds.) Demand for Emerging Transportation Systems (pp. 77–99). Amsterdam, Netherlands: Elsevier.
Kyriazis, D., Varvarigou, T., White, D., Rossi, A. and Cooper, J. (2013), Sustainable smart city IoT applications: Heat and electricity management & Eco-conscious cruise control for public transportation. In: 2013 IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM), Madrid, Spain, pp. 1–5.
Fernando, W.U.K., Samarakkody, R. M. and Halgamuge, M.N. (2020). Smart Transportation Tracking Systems Based on the Internet of Things Vision. In: Z. Mahmood (eds) Connected Vehicles in the Internet of Things (pp. 143–66). New York, NY: Springer.
Gandhi, B.K. and Rao, M.K. (2016). A prototype for IoT based car parking management system for smart cities. Indian Journal of Science and Technology, 9(17), 1–6.
Gayathri, T. (2017). A Survey on Vehicle Health Monitoring and Prediction System. International Journal of Computer Science Trends and Technology (IJCST), 5(3), 191–3. 
Goshare (2020). The On-Demand Truck App Being Called Uber for Trucks.  Available at: https://www.goshare.co/uber-for-moving/ (accessed on 03/03/2020)
Grant Thornton (2016), Smart Transportation - Transforming Indian Cities. Available at: https://www.grantthornton.in/globalassets/1.-member-firms/india/assets/pdfs/smart-transportation-report.pdf (accessed on 03/03/2020)
Hashem, I.A.T., Chang, V., Anuar, N. B., Adewole, K., Yaqoob, I., Gani, A., ... and Chiroma, H. (2016). The role of big data in smart city. International Journal of Information Management, 36(5), 748–58.
Hemalatha, M. (2015, March). Intelligent parking system using vehicular data cloud services. In: 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) (pp. 1-5), IEEE., Coimbatore,19–20/03/2015.
Hsu, C.Y., Yang, C.S., Yu, L.C., Lin, C.F., Yao, H.H., Chen, D.Y., ... and Chang, P.C. (2015). Development of a cloud-based service framework for energy conservation in a sustainable intelligent transportation system. International Journal of Production Economics, 164(n/a), 454–61.
Ianuale, N., Schiavon, D. and Capobianco, E. (2015). Smart cities and urban networks: are smart networks what we need. Journal of Management Analytics, 2(4), 285–94.
Javed, M.A., Zeadally, S. and Hamida, E.B. (2019). Data analytics for cooperative intelligent transport systems. Vehicular communications, 15(n/a), 63–72.
Lotlikar, T., Chandrahasan, M., Mahadik, A., Oke, M. and Yeole, A. (2016). Smart parking application. International Journal of Computer Applications, 149(9), 32–37.
Mengru, T (2018). An exploratory study of Internet of Things (IoT) adoption intention in logistics and supply chain management: A mixed research approach. The International Journal of Logistics Management. 29(1), n/a. DOI: 10.1108/IJLM-11-2016-0274. 
Myeong, S., Jung, Y. and Lee, E. (2018). A study on determinant factors in smart city development: an analytic hierarchy process analysis. Sustainability, 10(8), 2606. DOI:10.3390/su10082606
Pham, T.N., Tsai, M.F., Nguyen, D.B., Dow, C.R. and Deng, D-J. (2015). A Cloud-Based Smart-Parking System Based on Internet-of-Things Technologies. IEEE Access, 3(n/a), 1581–91. DOI: 10.1109/ACCESS.2015.2477299
Prabhu, B., Balakumar, N. and Antony, J. (2017). A Research on Smart Transportation Using Sensors and Embedded Systems. International Journal of Innovative Research in Computer Science & Technology. 5(1), n/a. 198-202. DOI: 0.21276/ijircst.2017.5.1.5. 
Qiu, T., Chen, N., Li, K., Atiquzzaman, M. and Zhao, W. (2018). How can heterogeneous Internet of Things build our future: A survey? IEEE Communications Surveys & Tutorials, 20(3), 2011–27.10.1109/COMST.2018.2803740
Qureshi, K.N. and Abdullah, A.H. (2013). A survey on intelligent transportation systems. Middle-East Journal of Scientific Research, 15(5), 629–42.
Ramundo, L., Taisch, M. and Terzi, S. (2016). State of the art of technology in the food sector value chain towards the IoT. In:2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), p. 1-6. Chicago, 07–09/09/2016.
Sharma, V. and Tiwari, R. (2016). A review paper on “IOT” & It's Smart Applications. International Journal of Science, Engineering and Technology Research (IJSETR), 5(2), 472–76.
Sijs, J., Papp, Z. and van den Bosch, P.P.J. (2008, June). Vehicle motion-state-estimation using distributed sensing. In: 2008 IEEE Intelligent Vehicles Symposium (pp. 458-463). IEEE., Eindhoven, the Netherlands, 04-06/06/2008.
Tsaramirsis, G., Karamitsos, I. and Apostolopoulos, C. (2016, March). Smart parking: An IoT application for smart city. In: 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 1412-1416). IEEE., New Delhi,16-18/03/2016.
Verdouw, C.N., Vucic, N., Sundmaeker, H. and Beulens, A. (2013). Future internet as a driver for virtualization, connectivity and intelligence of agri‐food supply chain networks. International Journal on Food System Dynamics, 4(4), 261–72.
Verdouw, C.N., Wolfert, J., Beulens, A.J. M. and Rialland, A. (2016). Virtualization of food supply chains with the internet of things. Journal of Food Engineering, 176(n/a), 128–36.
Wang, X. and Li, Z. (2016). Traffic and Transportation Smart with Cloud Computing on Big Data. International Journal of Computer Science and Applications, 13(1), 1–16.
Wang, Y., Tan, G., Wang, Y. and Yin, Y. (2012). Perceptual control architecture for cyber–physical systems in traffic incident management. Journal of Systems Architecture, 58(10), 398–411.
Zanella, A., Bui, N., Castellani, A., Vangelista, L. and Zorzi, M. (2014). Internet of things for smart cities. IEEE Internet of Things journal, 1(1), 22–32.
Zhu, L., Yu, F.R., Wang, Y., Ning, B. and Tang, T. (2018). Big data analytics in intelligent transportation systems: A survey. IEEE Transactions on Intelligent Transportation Systems, 20(1), 383–98.