Road Safety Risk Evaluation Using GIS-Based Data Envelopment Analysis—Artificial Neural Networks Approach-Reference-Cited by-同舟云学术

Road Safety Risk Evaluation Using GIS-Based Data Envelopment Analysis—Artificial Neural Networks Approach

Published:2017-08-29 Issue:9 Volume:7 Page:886
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Shah Syyed,Brijs Tom,Ahmad Naveed,Pirdavani Ali^ORCID,Shen Yongjun,Basheer Muhammad

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

http://www.mdpi.com/2076-3417/7/9/886/pdf

Reference74 articles.

1. The extreme value theory approach to safety estimation

2. Tool to Evaluate Safety Effects of Changes in Freeway Traffic Flow

3. Exploring the predictive potential of artificial neural networks in conjunction with DEA in railroad performance modeling

4. A comparison of three-stage DEA and artificial neural network on the operational efficiency of semi-conductor firms in Taiwan;Hsiang;Mod. Econ.,2013

5. Performance modeling of Indian business schools: a DEA‐neural network approach

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning in Coastal Engineering: Applications, Challenges, and Perspectives;Journal of Marine Science and Engineering;2024-04-10

2. Systematic review, evaluation and comparison of different approaches for the implementation of road network safety analysis;Heliyon;2024-04

3. Integrative Approach for High-Speed Road Surface Monitoring: A Convergence of Robotics, Edge Computing, and Advanced Object Detection;Applied Sciences;2024-02-24

4. Development of a Network-Level Road Safety Assessment Procedure Based on Human Factors Principles;Infrastructures;2024-02-16

5. An application of the hybrid AHP-PROMETHEE approach to evaluate the severity of the factors influencing road accidents;Heliyon;2023-11