Abstract
This paper presents an experimental evaluation of probabilistic time-dependent travel time computation. Monte Carlo simulation is used for the computation of travel times and their probabilities. The simulation is utilizing traffic data regarding incidents on roads to compute the probability distribution of travel time on a selected path. Traffic data has the information about an optimal speed, a traffic incident speed and a probability of a traffic incident to occur. The exact algorithm is used for the comparison of the simulation.
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Acknowledgment
This work was supported by The Ministry of Education, Youth and Sports from the National Programme of Sustainability (NPU II) project “IT4Innovations excellence in science - LQ1602”, supported by the internal grant agency of VŠB Technical University of Ostrava, Czech Republic, under the project no. SP2015/157 “HPC Usage for Transport Optimisation based on Dynamic Routing” and data were provided by “Transport Systems Development Centre” co-financed by Technology Agency of the Czech Republic (reg. no. TE01020155).
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Tomis, R., Rapant, L., Martinovič, J., Slaninová, K., Vondrák, I. (2016). Probabilistic Time-Dependent Travel Time Computation Using Monte Carlo Simulation. In: Kozubek, T., Blaheta, R., Šístek, J., Rozložník, M., Čermák, M. (eds) High Performance Computing in Science and Engineering. HPCSE 2015. Lecture Notes in Computer Science(), vol 9611. Springer, Cham. https://doi.org/10.1007/978-3-319-40361-8_12
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DOI: https://doi.org/10.1007/978-3-319-40361-8_12
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