Modeling of Travel Time Variations on Urban Links in London
An econometric framework was developed to combine data from various sources to identify the key factors contributing to travel time variations in Central London. Nonlinear latent variable regression models that explicitly accounted for measurement errors in the data were developed to combine data ex...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Transportation Research Board of the National Academies
2014
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| Online Access: | http://hdl.handle.net/1721.1/89071 |
| _version_ | 1811092679024443392 |
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| author | Hasan, Samiul Choudhury, Charisma F. Ben-Akiva, Moshe E. Emmonds, Andy |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Hasan, Samiul Choudhury, Charisma F. Ben-Akiva, Moshe E. Emmonds, Andy |
| author_sort | Hasan, Samiul |
| collection | MIT |
| description | An econometric framework was developed to combine data from various sources to identify the key factors contributing to travel time variations in Central London. Nonlinear latent variable regression models that explicitly accounted for measurement errors in the data were developed to combine data extracted from automatic number plate recognition cameras and automatic traffic counters. This procedure significantly differed from previous research in this area that was based primarily on traffic flow data and ignored measurement errors. The results indicate that nonlinear latent variable regression models can effectively explain travel time variations on a regular day by using variables related to vehicle type, traffic density, and traffic composition. Test results indicate that the proposed framework for correcting measurement errors yields significant improvements over base models, where such errors are ignored. The findings from the study validate some key hypotheses regarding influences of various factors on speed of urban traffic streams and can serve as a tool for investigation of the causes of traffic congestion. The model framework is general enough for application in other cases in which traffic data have similar measurement errors. |
| first_indexed | 2024-09-23T15:22:28Z |
| format | Article |
| id | mit-1721.1/89071 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:22:28Z |
| publishDate | 2014 |
| publisher | Transportation Research Board of the National Academies |
| record_format | dspace |
| spelling | mit-1721.1/890712022-09-29T14:31:10Z Modeling of Travel Time Variations on Urban Links in London Hasan, Samiul Choudhury, Charisma F. Ben-Akiva, Moshe E. Emmonds, Andy Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Ben-Akiva, Moshe E. An econometric framework was developed to combine data from various sources to identify the key factors contributing to travel time variations in Central London. Nonlinear latent variable regression models that explicitly accounted for measurement errors in the data were developed to combine data extracted from automatic number plate recognition cameras and automatic traffic counters. This procedure significantly differed from previous research in this area that was based primarily on traffic flow data and ignored measurement errors. The results indicate that nonlinear latent variable regression models can effectively explain travel time variations on a regular day by using variables related to vehicle type, traffic density, and traffic composition. Test results indicate that the proposed framework for correcting measurement errors yields significant improvements over base models, where such errors are ignored. The findings from the study validate some key hypotheses regarding influences of various factors on speed of urban traffic streams and can serve as a tool for investigation of the causes of traffic congestion. The model framework is general enough for application in other cases in which traffic data have similar measurement errors. 2014-08-26T17:22:28Z 2014-08-26T17:22:28Z 2012-01 Article http://purl.org/eprint/type/JournalArticle 0361-1981 http://hdl.handle.net/1721.1/89071 Hasan, Samiul, Charisma F. Choudhury, Moshe E. Ben-Akiva, and Andy Emmonds. “Modeling of Travel Time Variations on Urban Links in London.” Transportation Research Record: Journal of the Transportation Research Board 2260, no. 1 (December 1, 2011): 1–7. en_US http://dx.doi.org/10.3141/2260-01 Transportation Research Record: Journal of the Transportation Research Board Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Transportation Research Board of the National Academies Transportation Research Record |
| spellingShingle | Hasan, Samiul Choudhury, Charisma F. Ben-Akiva, Moshe E. Emmonds, Andy Modeling of Travel Time Variations on Urban Links in London |
| title | Modeling of Travel Time Variations on Urban Links in London |
| title_full | Modeling of Travel Time Variations on Urban Links in London |
| title_fullStr | Modeling of Travel Time Variations on Urban Links in London |
| title_full_unstemmed | Modeling of Travel Time Variations on Urban Links in London |
| title_short | Modeling of Travel Time Variations on Urban Links in London |
| title_sort | modeling of travel time variations on urban links in london |
| url | http://hdl.handle.net/1721.1/89071 |
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