Increasing the efficiency of vehicle ad-hoc network to enhance the safety status of highways by artificial neural network and fuzzy inference system-Reference-Cited by-同舟云学术

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Increasing the efficiency of vehicle ad-hoc network to enhance the safety status of highways by artificial neural network and fuzzy inference system

Published:2019-01-20 Issue:4 Volume:12 Page:501-521
ISSN:1943-9962
Container-title:Journal of Transportation Safety & Security
language:en
Short-container-title:Journal of Transportation Safety & Security

Author:

Behbahani Hamid¹,Mohammadian Amiri Amir¹^ORCID,Nadimi Navid²,Ragland David R.³⁴

Affiliation:

1. Civil Engineering Department, Iran University of Science and Technology, Tehran, Iran;

2. Faculty of Engineering, Shahid Bahonar University, Kerman, Iran;

3. Safe Transportation Research & Education Center, University of California, Berkeley, California, USA;

4. Safe Transportation Research & Education Center, Berkeley, California, USA

Publisher

Informa UK Limited

Subject

Safety Research,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/19439962.2018.1501785

Reference23 articles.

1. A comprehensive survey on vehicular Ad Hoc network

2. Proactive safety evaluation of a multilane unsignalized intersection using surrogate measures

3. Developing a New Surrogate Safety Indicator Based on Motion Equations

4. New time-based surrogate safety measure to assess crash risk in car-following scenarios

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