has been cited by the following article(s):
[1]
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A Bayesian generalised extreme value model to estimate real-time pedestrian crash risks at signalised intersections using artificial intelligence-based video analytics
Analytic Methods in Accident Research,
2023
DOI:10.1016/j.amar.2022.100264
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[2]
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Factors affecting severe pedestrian crash percentages at intersections in Colorado 2006–2018
International Journal of Injury Control and Safety Promotion,
2022
DOI:10.1080/17457300.2022.2147273
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[3]
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“My right to walk, my right to live”: pedestrian fatalities, roads and environmental features in Benin
BMC Public Health,
2021
DOI:10.1186/s12889-021-10192-2
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[4]
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Transportation Research
Lecture Notes in Civil Engineering,
2020
DOI:10.1007/978-981-32-9042-6_50
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[5]
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Identification of Pedestrian Risk Factors Using Negative Binomial Model
Transportation in Developing Economies,
2020
DOI:10.1007/s40890-019-0092-6
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[6]
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Modeling the Impact of Weather Conditions on Pedestrian Injury Counts Using LASSO-Based Poisson Model
Arabian Journal for Science and Engineering,
2020
DOI:10.1007/s13369-020-05045-w
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[7]
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DEVELOPMENT OF ACCIDENT PREDICTION MODEL
AT SIGNALIZED INTERSECTIONS
i-manager’s Journal on Civil Engineering,
2018
DOI:10.26634/jce.8.1.14010
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