Paper Title:
Traffic Accidents Prediction Using Improved Grey-Markov Model
| Periodical | Advanced Materials Research (Volumes 378 - 379) |
|---|---|
| Main Theme | Applied Materials and Electronics Engineering |
| Edited by | Brendan Gan, Yu Gan and Y. Yu |
| Pages | 222-225 |
| DOI | 10.4028/www.scientific.net/AMR.378-379.222 |
| Citation | Kuan Min Chen et al., 2011, Advanced Materials Research, 378-379, 222 |
| Online since | October, 2011 |
| Authors | Kuan Min Chen, Lai Fa Xie, Wen Sen Xiang |
| Keywords | Amendment Factor, Grey Model, Markov Chain (MC), Traffic Accident |
| Price | US$ 28,- |
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Abstract
Considering the grey feature of traffic accident occurrence, grey model optimized by least-square theory is introduced to prejudge the future trend of traffic accident. To improve the prediction precision of this model, an amendment factor of boundary value and Markov chain are proposed and the numerical application proves the effectiveness of this Grey –Markov predict model.
