Investigating factors influencing pedestrian crosswalk usage behavior in Dhaka city using supervised machine learning techniques

Investigating factors influencing pedestrian crosswalk usage behavior in Dhaka city using supervised machine learning techniques

Pedestrians are the most vulnerable road users and are over-represented in casualty statistics, particularly in low- and middle-income countries like Bangladesh. To ensure the safety of pedestrians, it is necessary to identify the factors underlying pedestrian behavior while crossing. Hence, this st...

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Bibliographic Details
Main Authors: Nazmus Sakib, Tonmoy Paul, Md. Tawkir Ahmed, Khondhaker Al Momin, Saurav Barua
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Multimodal Transportation
Subjects:
Pedestrian safety
Crosswalk
Machine learning
Developing country
Online Access:http://www.sciencedirect.com/science/article/pii/S2772586323000400

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http://www.sciencedirect.com/science/article/pii/S2772586323000400

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