Abstract
In order to obtain effective traffic information, a strategic traffic data collection plan in terms of the density and locations of vehicle detector (VD) installation is one of the crucial components that is worthy of further investigation. Based on the desirable vehicle detector installation plan, it is possible to predict effective and reliable travel time information,and predetermine optimal traffic control strategies to achieve some system-wide objectives. The purposes of the presentresearch are to investigate the relationships between vehicle detector installation locations and the performance of predicted link travel times given by various travel time estimation/prediction models, and to incorporate the effects of stop delays on signalized intersections in the estimation of arterial travel times.
| Original language | English |
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| State | Published - Oct 2006 |
| Event | 13th World Congress on Intelligent Transport Systems and Services, ITS 2006 - London, United Kingdom Duration: 8 Oct 2006 → 12 Oct 2006 |
Conference
| Conference | 13th World Congress on Intelligent Transport Systems and Services, ITS 2006 |
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| Country/Territory | United Kingdom |
| City | London |
| Period | 8/10/06 → 12/10/06 |
Keywords
- Neural network model
- Travel time
- Vehicle detector