Abstract
We describe a prototype implementation of a real time traffic monitoring service that uses GPS positioning information received from moving vehicles to calculate average speed and travel time and assign them to road segments. The primary factor for reliability of determined parameters is the correct calculation of a vehicle location on a road segment, which is realized by a map-matching algorithm. We present an a new incremental map-matching algorithm based on Hidden Markov Model (HMM). A HMM state corresponds to a road segment and a sensor reading to an observation. The HMM model is updated on arrival of new GPS data by alternating operations: expansion and contraction. In the later step a part of determined trajectory is output. We present also results of conducted experiments.
This work is supported by the European Regional Development Fund within INSIGMA project no. POIG.01.01.02-00-062/09.
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Szwed, P., Pekala, K. (2014). Map-Matching in a Real-Time Traffic Monitoring Service. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures, and Structures. BDAS 2014. Communications in Computer and Information Science, vol 424. Springer, Cham. https://doi.org/10.1007/978-3-319-06932-6_41
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DOI: https://doi.org/10.1007/978-3-319-06932-6_41
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