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| Content Provider | IET Digital Library |
|---|---|
| Author | Pili, Francesco Olivo, Alessandro Barabino, Benedetto |
| Abstract | Bus running times are a key element of time reliability for bus operators and passengers. Hence, their evaluation is crucial in order to build reliable schedules for transit operations. This study analyses three alternative offline methods for estimating bus running times using automatic vehicle location (AVL) data: the average method, the percentile method and an adjusted Kalman filter method, which is amended in order to be implemented for offline use. Experiments are conducted using ∼92,000 real-world archived AVL records, which are provided by an Italian bus operator. The results can be used to revise scheduled running times along a specific route by these methods. |
| Starting Page | 523 |
| Ending Page | 530 |
| Page Count | 8 |
| ISSN | 1751956X |
| Volume Number | 13 |
| e-ISSN | 17519578 |
| Issue Number | Issue 3, Mar (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-its/13/3 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5339 |
| Journal | IET Intelligent Transport Systems |
| Publisher Date | 2018-10-04 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Adjusted Kalman Filter Method Archived Automatic Vehicle Location Data Average Method AVL Data Bus Operators Bus Running Times Italian Bus Operator Kalman Filter Offline Method Passengers Percentile Method Public Transport Road Safety Road Vehicle Scheduled Running Times Scheduling Statistics System Theory Application in Transportation Time Reliability |
| Content Type | Text |
| Resource Type | Article |
| Subject | Law Transportation Environmental Science Mechanical Engineering |
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