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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xi-rui Yang Huai-ming Jing Da-yi Qu |
| Copyright Year | 2009 |
| Description | Author affiliation: Automobile Management Institute, Bengbu, China, 233011 (Xi-rui Yang; Huai-ming Jing) || School of Automobile and Transportation, Qingdao Technological University, 266033, China (Da-yi Qu) |
| Abstract | Random utility route choice models play a central role in stochastic assignment to road networks. The usually adopted specifications for such models are Multinomial Logit (MNL) and Probit, both having pros and cons. In this paper a modified specification of the Logit model, named M-Logit, is proposed.The M-Logit overcomes the main shortcoming of MNL, i.e. unrealistic choice probabilities for paths sharing a number of links, while keeping a closed analytical structure allowing calibration on disaggregate data and efficient path flow computations when paths are explicitly enumerated. A behavioural interpretation of the M-Logit model is proposed by presenting it as a particular case of a wider class of implicit joint models of route perception-choice. |
| Starting Page | 2069 |
| Ending Page | 2072 |
| File Size | 117830 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424427222 |
| DOI | 10.1109/CCDC.2009.5192293 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Roads Stochastic processes Telecommunication traffic rule utility Calibration route choice Automobiles commonality factor Technology management Traffic control Computer networks Data flow computing Large-scale systems |
| Content Type | Text |
| Resource Type | Article |
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