A hybrid approach of random forest and random parameters logit model of injury severity modeling of vulnerable road users involved crashes

Sun, Zhiyuan; Wang, Duo; Gu, Xin; Abdel-Aty, Mohamed; Xing, Yuxuan; Wang, Jianyu; Lu, Huapu; Chen, Yanyan

doi:10.1016/j.aap.2023.107235

Accident Analysis & Prevention

2023

DOI: 10.1016/j.aap.2023.107235

|View full text |Cite

A hybrid approach of random forest and random parameters logit model of injury severity modeling of vulnerable road users involved crashes

Zhiyuan Sun,

Duo Wang,

Xin Gu

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 15 publications

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Visual hazardous models: A hybrid approach to investigate road hazardous events

Rangam,

Sivasankaran,

Balasubramanian

2024

Accident Analysis & Prevention

View full text Add to dashboard Cite

Visual hazardous models: A hybrid approach to investigate road hazardous events

Rangam,

Sivasankaran,

Balasubramanian

2024

Accident Analysis & Prevention

View full text Add to dashboard Cite

Analyzing the transition from two-vehicle collisions to chain reaction crashes: A hybrid approach using random parameters logit model, interpretable machine learning, and clustering

Samerei,

Aghabayk

2024

Accident Analysis & Prevention

View full text Add to dashboard Cite

A hybrid Machine learning and statistical modeling approach for analyzing the crash severity of mobility scooter users considering temporal instability

Sadeghi,

Aghabayk,

Quddus

2024

Accident Analysis & Prevention

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A hybrid approach of random forest and random parameters logit model of injury severity modeling of vulnerable road users involved crashes

Cited by 15 publications

References 46 publications

Visual hazardous models: A hybrid approach to investigate road hazardous events

Visual hazardous models: A hybrid approach to investigate road hazardous events

Analyzing the transition from two-vehicle collisions to chain reaction crashes: A hybrid approach using random parameters logit model, interpretable machine learning, and clustering

A hybrid Machine learning and statistical modeling approach for analyzing the crash severity of mobility scooter users considering temporal instability

Contact Info

Product

Resources

About