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Using Real-Time Traffic Information for Transportation Planning

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Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 231)

Abstract

In this research, we investigate the feasibility of integrating real-time traffic information into transportation planning in order to receive a more accurate result. In our model, we optimized the Travelling Salesman Problem (TSP) from the OpenCI optimization framework and combined the traffic information from Google API within this problem (TSP) in order to make a better tool for more accurate transportation planning.

Keywords

  • Real-time traffic data
  • Travelling salesman problem
  • Transport planning

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Correspondence to Thomas Hanne .

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Amiti, T., Ali, K.M., Wüthrich, B., Hanne, T. (2021). Using Real-Time Traffic Information for Transportation Planning. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Data Science and Intelligent Systems. CoMeSySo 2021. Lecture Notes in Networks and Systems, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-030-90321-3_41

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