Modeling gap acceptance at freeway merges
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006. === Includes bibliographical references (p. 103-105). === This thesis develops a merging model that captures the gap acceptance behavior of drivers that merge from a ramp into a congested freewa...
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ndltd-MIT-oai-dspace.mit.edu-1721.1-346072019-05-02T16:21:15Z Modeling gap acceptance at freeway merges Lee, Gunwoo Moshe E. Ben-Akiva. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Civil and Environmental Engineering. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006. Includes bibliographical references (p. 103-105). This thesis develops a merging model that captures the gap acceptance behavior of drivers that merge from a ramp into a congested freeway. Merging can be classified into three types: normal, forced and cooperative lane changing. The developed merging model uses a single critical gap function, which incorporates explanatory variables that capture all three types of merging behavior. Thus, the model combines all three types in a single model. The merging gap acceptance model is estimated using the maximum likelihood method with detailed trajectory data that was collected on two freeway sections in California. Estimation results show that the merging gap acceptance model is affected by traffic conditions such as average speed in the mainline, interactions with lead and lag vehicles, and urgency of the merge. Transferability tests for the stability of the model parameters between the two datasets are conducted. The single level gap acceptance model is implemented and compared with an existing gap acceptance model in the microscopic traffic simulation model, MITSIMLab. The results show that the proposed model is better than the existing gap acceptance model. by Gunwoo Lee. S.M. 2006-11-07T13:34:08Z 2006-11-07T13:34:08Z 2006 2006 Thesis http://hdl.handle.net/1721.1/34607 71301166 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 105 p. 3987482 bytes 3993185 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
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Civil and Environmental Engineering. Lee, Gunwoo Modeling gap acceptance at freeway merges |
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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006. === Includes bibliographical references (p. 103-105). === This thesis develops a merging model that captures the gap acceptance behavior of drivers that merge from a ramp into a congested freeway. Merging can be classified into three types: normal, forced and cooperative lane changing. The developed merging model uses a single critical gap function, which incorporates explanatory variables that capture all three types of merging behavior. Thus, the model combines all three types in a single model. The merging gap acceptance model is estimated using the maximum likelihood method with detailed trajectory data that was collected on two freeway sections in California. Estimation results show that the merging gap acceptance model is affected by traffic conditions such as average speed in the mainline, interactions with lead and lag vehicles, and urgency of the merge. Transferability tests for the stability of the model parameters between the two datasets are conducted. The single level gap acceptance model is implemented and compared with an existing gap acceptance model in the microscopic traffic simulation model, MITSIMLab. The results show that the proposed model is better than the existing gap acceptance model. === by Gunwoo Lee. === S.M. |
author2 |
Moshe E. Ben-Akiva. |
author_facet |
Moshe E. Ben-Akiva. Lee, Gunwoo |
author |
Lee, Gunwoo |
author_sort |
Lee, Gunwoo |
title |
Modeling gap acceptance at freeway merges |
title_short |
Modeling gap acceptance at freeway merges |
title_full |
Modeling gap acceptance at freeway merges |
title_fullStr |
Modeling gap acceptance at freeway merges |
title_full_unstemmed |
Modeling gap acceptance at freeway merges |
title_sort |
modeling gap acceptance at freeway merges |
publisher |
Massachusetts Institute of Technology |
publishDate |
2006 |
url |
http://hdl.handle.net/1721.1/34607 |
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AT leegunwoo modelinggapacceptanceatfreewaymerges |
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