A platform for research: civil engineering, architecture and urbanism
Predicting driving speed using neural networks
Predicting the speed of a vehicle for a future point on the road ahead is an important subtask of many advanced safety systems. We propose a two-stage neural net approach: first, (a small number of) characteristics of the overall speed distribution at a given location are estimated from road features alone. Second, for the case of a particular trip the speed at the current location, together with the speed characteristics output by the first stage for both the current and a future location, is used to predict the speed at the latter. Our approach parallels the previous empirical constant-percentile approach. It achieves nearly the same predictive accuracy, while at the same time reduces the data requirement to a feasible amount and additionally is able to generalize to extreme speeds not previously seen in the training set.
Predicting driving speed using neural networks
Predicting the speed of a vehicle for a future point on the road ahead is an important subtask of many advanced safety systems. We propose a two-stage neural net approach: first, (a small number of) characteristics of the overall speed distribution at a given location are estimated from road features alone. Second, for the case of a particular trip the speed at the current location, together with the speed characteristics output by the first stage for both the current and a future location, is used to predict the speed at the latter. Our approach parallels the previous empirical constant-percentile approach. It achieves nearly the same predictive accuracy, while at the same time reduces the data requirement to a feasible amount and additionally is able to generalize to extreme speeds not previously seen in the training set.
Predicting driving speed using neural networks
Schroedl, S. (author) / Wenbing Zhang, (author)
2003-01-01
407225 byte
Conference paper
Electronic Resource
English
Predicting Driving Speed Using Neural Networks
British Library Conference Proceedings | 2003
|Predicting Seismic Liquefaction Using Neural Networks
British Library Conference Proceedings | 1995
|PREDICTING OPTIMUM MARKUP USING NEURAL NETWORKS
British Library Conference Proceedings | 2002
|Predicting Runoff from Rainfall Using Neural Networks
British Library Conference Proceedings | 1993
|Predicting Water Levels Using Artificial Neural Networks
British Library Conference Proceedings | 2003
|