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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ma, T. Abdulhai, B. |
| Copyright Year | 2001 |
| Description | Author affiliation: Dept. of Civil Eng., Toronto Univ., Downsview, Ont., Canada (Ma, T.) |
| Abstract | We introduce GENOSIM, genetic optimizer for traffic micro-simulation models. GENOSIM is developed as a pilot software, employing state of the art combinatorial parametric optimization to automate the tedious task of calibrating traffic microscopic simulation models. The employed global search technique, genetic algorithms, is integrated with a dynamic traffic microscopic simulation model for the City of Toronto, Canada using Paramics microsimulation suite. The output of GENOSIM is the near-optimal values of its car-following, lane changing and dynamic routing parameters. The results obtained are very encouraging. |
| Starting Page | 848 |
| Ending Page | 853 |
| File Size | 797139 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780371941 |
| DOI | 10.1109/ITSC.2001.948771 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-08-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Calibration Microscopy Traffic control Intelligent transportation systems Genetic algorithms Telecommunication traffic Predictive models Search methods System testing Civil engineering |
| Content Type | Text |
| Resource Type | Article |
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