Abstract
In this paper, three technologies for real-time traffic data collection, namely automatic vehicle identification (AVI), global positioning system (GPS) and video image processing (VIP), are evaluated. Their performances on journey time estimation are compared in a case study in Hong Kong. Journey times on a selected path are estimated using dataset collected by each of these three technologies and different combination of these datasets. Observation survey is conducted during a morning period on the selected path to validate the journey time estimates. It was found that the combination of AVI and VIP data can be used to provide cost-effective solution for real-time journey time estimation in Hong Kong.
| Original language | English |
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| Title of host publication | Proceedings of the 6th International Conference on Traffic and Transportation Studies Congress 2008 |
| Subtitle of host publication | Traffic and Transportation Studies Congress 2008, ICTTS 2008 |
| Pages | 54-65 |
| Number of pages | 12 |
| Volume | 322 |
| Publication status | Published - 1 Dec 2008 |
| Event | 6th International Conference on Traffic and Transportation Studies Congress 2008: Traffic and Transportation Studies Congress 2008, ICTTS 2008 - Nanning, China Duration: 5 Aug 2008 → 7 Aug 2008 |
Conference
| Conference | 6th International Conference on Traffic and Transportation Studies Congress 2008: Traffic and Transportation Studies Congress 2008, ICTTS 2008 |
|---|---|
| Country/Territory | China |
| City | Nanning |
| Period | 5/08/08 → 7/08/08 |
Keywords
- Automatic vehicle identification
- Data collection technology
- Global positioning system
- Journey time estimation
- Video image processing
ASJC Scopus subject areas
- Transportation
- Public Administration