Using location observations to observe routing for choice models

Map matching algorithms try to map a series of location observations to an underlying network, to generate a single hypothesized true location or route. For some applications, including route choice modeling, such map matching is not required, and may introduce unnecessary biases into the model. This paper proposes a methodology for mapping location data to a underlying network in a probabilistic fashion, to try to avoid these potential biases. A framework for generating probabilistic matchings is presented, and the results of the algorithm are presented for a demonstration trip, to demonstrate the viability of the algorithm.


Presented at:
89th Transportation Research Board Annual Meeting, Washington D.C., US, January 10-14
Year:
2010
Laboratories:




 Record created 2010-09-30, last modified 2018-03-17


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