原文传递
Probabilistic Multimodal Map Matching With Rich Smartphone Data
| 题名： | Probabilistic Multimodal Map Matching With Rich Smartphone Data |
| 其他题名： | Ben-Akiva,M.,&Bierlaire,M.(2003).Discrete choice models with applications to departure time and route choice.In R.Hall,(Ed.),Handbook of Transportation Science,(2nd ed.pp.7–37).Dordrecht,The Netherlands:Kluwer Academic Publishers. |
| 正文语种： | 英文 |
| 作者： | JINGMIN CHEN |
| 关键词： | Accelerometer;Bluetooth;GPS;Multimodal Map Matching;Smartphone Data;Transport Mode Inference |
| 摘要： | This article proposes a probabilistic method that infers the transport modes and the physical paths of trips from smartphone data that were recorded during travels. This method synthesizes multiple kinds of data from smartphone sensors, which provide relevant location or transport mode information: global positioning system (GPS), Bluetooth, and accelerometer. The method is based on a smartphone measurement model that calculates the likelihood of observing the smartphone data in the multimodal transport network. The output of this probabilistic method is a set of candidate true paths and the probability of each path being the true one. The transport mode used on each arc is also inferred. Numerical experiments include map visualizations of some example trips and an analysis on the performance of the transport mode inference. |
| 出版年： | 2015 |
| 论文唯一标识： | J-96Y2015V19N02004 |
| doi： | 10.1080/15472450.2013.764796 |
| 期刊名称： | Journal of Intelligent Transportation Systems Technology Planning and Operations |
| 拼音刊名(出版物代码)： | J-96 |
| 卷： | 19 |
| 期： | 02 |
| 页码： | 134-148 |
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