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A platform for research: civil engineering, architecture and urbanism
Forecasting Freeway Link Travel Times with a Multilayer Feedforward Neural Network
One of the major requirements of advanced traveler information systems (ATISs) is a mechanism to estimate link travel times. This article examines the use of an artificial neural network (ANN) for predicting freeway link travel times for one through five time periods into the future. Actual freeway link travel times from Houston, Texas, that were collected as part of the automatic vehicle identification (AVI) system were used as a test bed. It was found that when predicting one or two time periods into the future, the ANN model that only considered previous travel times from the target link gave the best results. However, when predicting three to five time periods into the future, the ANN model that employed travel times from upstream and downstream links in addition to the target link gave superior results. The ANN model also gave the best overall results compared with existing link travel time forecasting techniques.
Forecasting Freeway Link Travel Times with a Multilayer Feedforward Neural Network
One of the major requirements of advanced traveler information systems (ATISs) is a mechanism to estimate link travel times. This article examines the use of an artificial neural network (ANN) for predicting freeway link travel times for one through five time periods into the future. Actual freeway link travel times from Houston, Texas, that were collected as part of the automatic vehicle identification (AVI) system were used as a test bed. It was found that when predicting one or two time periods into the future, the ANN model that only considered previous travel times from the target link gave the best results. However, when predicting three to five time periods into the future, the ANN model that employed travel times from upstream and downstream links in addition to the target link gave superior results. The ANN model also gave the best overall results compared with existing link travel time forecasting techniques.
Forecasting Freeway Link Travel Times with a Multilayer Feedforward Neural Network
Park, Dongjoo (author) / Rilett, Laurence R. (author)
Computer‐Aided Civil and Infrastructure Engineering ; 14 ; 357-367
1999-09-01
11 pages
Article (Journal)
Electronic Resource
English
Forecasting Freeway Link Travel Times with a Multilayer Feedforward Neural Network
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