Practical estimation of traffic accidents at intersections by neural network.

Author(s)
Akiyama, T. Kotani, Y. & Suzuki, T.
Year
Abstract

The safety project has been considered in terms of cost-effectiveness with budget constraints. The basic concept is to choose the proper intersection improved as a profitable traffic safety management. The accurate estimation for traffic accident with several factors should be proposed. The neural network (NN) is applied to describe the non-linear relationship between traffic accidents and the physical factors. The numerical example is given to show the performance of the approach. As the practical estimation model is created, the impact of traffic safety project can be measured though the change of traffic conditions at intersections. For the covering abstract see ITRD E114174.

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Publication

Library number
C 24581 (In: C 22454 CD-ROM) /80 /82 / ITRD E115816
Source

In: From vision to reality : proceedings of the 7th World Congress on Intelligent Transportation Systems ITS, Turin, Italy, 6-9 November 2000, 9 p., 7 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.