Effect of Driving-Restriction Policies Based on System Dynamics, the Back Propagation Neural Network, and Gray System Theory-Reference-Cited by-同舟云学术

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Effect of Driving-Restriction Policies Based on System Dynamics, the Back Propagation Neural Network, and Gray System Theory

Published:2022-11-09 Issue:5 Volume:48 Page:7109-7125
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Chen Zhen,Ye Xiangyang,Li Bing,Jia Shuwei^ORCID

Funder

National Natural Science Foundation of China

Project funded by China Postdoctoral Science Foundation

cience and Technology Innovation Foundation of Henan Agricultural University

Special Fund for Topnotch Talent at Henan Agricultural University

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://link.springer.com/content/pdf/10.1007/s13369-022-07405-0.pdf

Reference28 articles.

1. Samal, S.R.; Mohanty, M.; Santhakumar, S.M.: Adverse effect of congestion on economy, health and environment under mixed traffic scenario. Transp. Dev. Econ. 7, 1–10 (2021)

2. Ahmed, M.J.; Iqbal, S.; Awan, K.M., et al.: A congestion aware route suggestion protocol for traffic management in internet of vehicles. Arab. J. Sci. Eng. 45(4), 2501–2511 (2020)

3. Kurt, O.K.; Zhang, J.; Pinkerton, K.E.: Pulmonary health effects of air pollution. Curr. Opin. Pulm. Med. 22, 138–143 (2016)

4. Beziat, A.; Koning, M.; Toilier, F.: Marginal congestion costs in the case of multi-class traffic: a macroscopic assessment for the Paris Region. Transp. Policy 60, 87–98 (2017)

5. Saracoglu, A.; Ozen, H.: Estimation of traffic incident duration: a comparative study of decision tree models. Arab. J. Sci. Eng. 45(10), 8099–8110 (2020)

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