The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Travel time estimation for urban road networks using low frequency probe vehicle data
Open accessAbstract
We consider the problem of reconstructing vehicle trajectories from sparse sequences of GPS points, for which the sampling interval is between 1 s and 2 min. We introduce a new class of algorithms, which are altogether called the path inference filter (PIF), that maps GPS data in real time, for a variety of tradeoffs and scenarios and with a high throughput. Numerous prior approaches in map matching can be shown to be special cases of the PIF presented in this paper. We present an efficient procedure for automatically training the filter on new data, with or without ground-truth observations. The framework is evaluated on a large San Francisco taxi data set and is shown to improve upon the current state of the art. This filter also provides insights about driving patterns of drivers. The PIF has been deployed at an industrial scale inside the Mobile Millennium traffic information system, and is used to map fleets of data in San Francisco and Sacramento, CA, USA; Stockholm, Sweden; and Porto, Portugal.
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Cites
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Vulnerability and resilience of transport systems – A discussion of recent research
Mattsson, L.-G., & Jenelius, E. (2015) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2015.06.002 · Cited by 846
Self-citationRidesourcing systems: A framework and review
Wang, H., & Yang, H. (2019) · Transportation Research Part B: Methodological · doi:10.1016/j.trb.2019.07.009 · Cited by 538
Barmpounakis, E., & Geroliminis, N. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.11.023 · Cited by 377
Shaygan, M., Meese, C., Li, W., Zhao, X. (., & Nejad, M. (2022) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2022.103921 · Cited by 267
Metadata
- Authors
- Jenelius, E., & Koutsopoulos, H. N.
- Venue
- Transportation Research Part B: Methodological
- Publisher
- Elsevier BV
- Published
- 2013-07
- Volume
- 53
- Pages
- 64-81
- ISSN
- 0191-2615 (ISSN-L)
- OpenAlex
- W2962917186
- Cited by
- 434
- References
- 42
- FWCI
- 53.71
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
