Traffic fatalities prediction using support vector machine with hybrid particle swarm optimization-Reference-Cited by-同舟云学术

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Traffic fatalities prediction using support vector machine with hybrid particle swarm optimization

Published:2017-09-14 Issue:1 Volume:12 Page:20-29
ISSN:1748-3018
Container-title:Journal of Algorithms & Computational Technology
language:en
Short-container-title:Journal of Algorithms & Computational Technology

Author:

Gu Xiaoning¹,Li Ting²,Wang Yonghui²,Zhang Liu³,Wang Yitian²,Yao Jinbao⁴

Affiliation:

1. Automotive Engineering College, Dalian University of Technology, Dalian, PR China

2. Transportation Management College, Dalian Maritime University, Dalian, PR China

3. School of Transportation Science and Engineering, Beihang University, Beijing, PR China

4. School of Civil Engineering, Beijing Jiaotong University, Beijing, PR China

Publisher

SAGE Publications

Subject

Applied Mathematics,Computational Mathematics,Numerical Analysis

Link

http://journals.sagepub.com/doi/pdf/10.1177/1748301817729953

Reference38 articles.

1. Negative Binomial Analysis of Intersection-Accident Frequencies

2. Machine learning in road accident research: decision trees describing road accidents during cross-flow turns

3. Analyzing angle crashes at unsignalized intersections using machine learning techniques

4. A Genetic Programming Model for Real-Time Crash Prediction on Freeways

5. A Pragmatic Approach for Refined Feature Selection for the Prediction of Road Accident Severity

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