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Use of Geolocation for the Management of Collective Transport of People in Stations and Airports

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Current Trends in Web Engineering (ICWE 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12451))

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Abstract

Airports have become a widely used form of transportation, and communication from the airport to cities is key. In this sense, a common problem that passengers encounter when they arrive at the airport is finding a way to get to the city. There are several alternatives such as metro, taxi, bus or train. However, in recent years shuttle buses have emerged. It is a private bus that transports a small number of people so that the cost of the trip is shared by all passengers. The main problem with this transport is calculating the most optimal route for passenger stops so that they reach their destinations as soon as possible. This problem is exacerbated when the city is large. Generally the driver calculates the route based on his experience or aided by a geographic route application. However in these cases, it must calculate the routes one by one. This work presents an Android mobile application that implements a service aimed at managing this type of transport, in a way that makes it easier for the passenger to contract a service online. On the other hand, it makes it easier for the driver to find the optimal route of stops using the information of the destinations registered by the passengers and the geolocation information of the driver’s mobile.

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References

  1. Jerby, S., Ceder, A.: Optimal routing design for shuttle bus service. Transp. Res. Rec. 1971(1), 14–22 (2006)

    Article  Google Scholar 

  2. Pholprasit, T., Pongnumkul, S., Saiprasert, C., Mangkorn-ngam, S., Jaritsup, L.: LiveBusTrack: high-frequency location update information system for shuttle/bus riders. In: 2013 13th International Symposium on Communications and Information Technologies (ISCIT), pp. 565–569. IEEE, September 2013

    Google Scholar 

  3. Liu, Y., Jia, G., Tao, X., Xu, X., Dou, W.: A stop planning method over big traffic data for airport shuttle bus. In: 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, pp. 63–70. IEEE, December 2014

    Google Scholar 

  4. Lu, J., Yang, Z., Timmermans, H., Wang, W.: Optimization of airport bus timetable in cultivation period considering passenger dynamic airport choice under conditions of uncertainty. Transp. Res. Part C Emerg. Technol. 67, 15–30 (2016)

    Article  Google Scholar 

  5. Yim, Y.B., Ceder, A.: Smart feeder/shuttle bus service: consumer research and design. J. Public Transp. 9(1), 5 (2006)

    Article  Google Scholar 

  6. Yue, W.S., Chye, K.K., Hoy, C.W.: Towards smart mobility in urban spaces: bus tracking and information application. In: AIP Conference Proceedings, vol. 1891, no. 1, p. 020145. AIP Publishing LLC, October 2017

    Google Scholar 

  7. Zhou, P., Zheng, Y., Li, M.: How long to wait? Predicting bus arrival time with mobile phone based participatory sensing. In: Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services, pp. 379–392, June 2012

    Google Scholar 

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Correspondence to Antonio Sarasa Cabezuelo .

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Sarasa Cabezuelo, A. (2020). Use of Geolocation for the Management of Collective Transport of People in Stations and Airports. In: Ko, IY., Murillo, J.M., Vuorimaa, P. (eds) Current Trends in Web Engineering. ICWE 2020. Lecture Notes in Computer Science(), vol 12451. Springer, Cham. https://doi.org/10.1007/978-3-030-65665-2_2

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  • DOI: https://doi.org/10.1007/978-3-030-65665-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65664-5

  • Online ISBN: 978-3-030-65665-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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