Driving behavior inertia in urban tunnel diverging areas: New findings based on task-switching perspective

Transportation Research Part F Traffic Psychology and Behaviour, Journal Year: 2025, Volume and Issue: 109, P. 1007 - 1023

Published: Jan. 28, 2025

Language: Английский

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Alternative outcome frameworks to model injury severity outcomes of motorcyclists colliding with other vehicles

Transportation Letters, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: March 12, 2025

Language: Английский

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The effects of radius and longitudinal slope of extra-long freeway spiral tunnels on driving behavior: A practical engineering design case

Tunnelling and Underground Space Technology, Journal Year: 2024, Volume and Issue: 152, P. 105967 - 105967

Published: July 16, 2024

Language: Английский

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Effects of helmet usage on moped riders’ injury severity in moped-vehicle crashes: Insights from partially temporal constrained random parameters bivariate probit models

Accident Analysis & Prevention, Journal Year: 2024, Volume and Issue: 208, P. 107800 - 107800

Published: Oct. 1, 2024

Language: Английский

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Analyzing spatiotemporal truck emission pattern using explainable machine learning: A case study in Xi’an, China

Transportation Research Part D Transport and Environment, Journal Year: 2024, Volume and Issue: 137, P. 104489 - 104489

Published: Oct. 31, 2024

Language: Английский

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Investigating Contributors to Hit‐and‐Run Violations in Urban River‐Crossing Road Tunnels: A Random Parameter Logit Model With Heterogeneity in Means

Journal of Advanced Transportation, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

The hit‐and‐run caused a delay in medical assistance to the victim and posed significant threat safety of drivers road tunnels. This study investigates potential factors contributing drivers’ violations river‐crossing paper built three models (the logit model, random parameter model with heterogeneity means) based on dataset consisting crashes reported thirteen tunnels Shanghai, China. Potential contributors from five aspects (offending drivers, vehicle conditions, tunnel characteristics, environmental crash information) were explored. Results showed that means produced highest fitting accuracy among models. Eight important variables (nighttime, single‐vehicle, multi‐vehicle, two‐wheeled vehicle, passenger car, heavy goods rear‐end, short tunnel) found affect significantly. research has highlighted nighttime increase likelihood other are opposite. results this could provide useful information for development interventions improve level reduce rate offenses.

Language: Английский

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Time-dependent effect of advanced driver assistance systems on driver behavior based on connected vehicle data

Analytic Methods in Accident Research, Journal Year: 2025, Volume and Issue: unknown, P. 100370 - 100370

Published: Jan. 1, 2025

Language: Английский

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Analysis of the Impact of Different Road Conditions on Accident Severity at Highway-Rail Grade Crossings Based on Explainable Machine Learning

Symmetry, Journal Year: 2025, Volume and Issue: 17(1), P. 147 - 147

Published: Jan. 20, 2025

Previous studies on highway_rail grade crossing collisions have primarily focused identifying factors contributing to the frequency and severity of driver injuries. In recent years, increasing attention has been given modeling injury at these crossings. Recognizing variations in under different road surface conditions, this study investigates impact conditions Using nearly a decade accident data (2012–2021), thi employs LightGBM model predict influencing utilizes SHAP values for result interpretation. The symmetry principle esures that with identical influence receive equal values, enhancing reliability predictive outcomes. findings reveal crossings varies significantly conditions. Key identified include train speed, age, vehicle annual average daily traffic (AADT), presence inside vehicle, weather location. results indicate are more frequent when either or travels high speed. Implementing speed limits both vehicles trains varying could effectively reduce severity. Additionally, older drivers prone severe accidents, highlighting importance installing control devices, such as warning signs signals, enhance alertness mitigate risks. Furthermore, adverse rain, snow, fog, exacerbate surfaces like sand, mud, dirt, oil, gravel. Timely removal obstacles may help accidents.

Language: Английский

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Tunnel crash severity and congestion duration joint evaluation based on cross-stitch networks

Accident Analysis & Prevention, Journal Year: 2025, Volume and Issue: 213, P. 107942 - 107942

Published: Feb. 4, 2025

Language: Английский

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Exploring the Factors Affecting the Injury Severity of Crashes on Mountainous Freeways with High Proportions of Heavy Vehicles Considering Their Heterogeneous and Interactive Effects

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1624 - 1624

Published: Feb. 15, 2025

Freeway transportation safety issues have attracted public concern in China for decades. This study aims to identify the factors influencing injury severity of freeway crashes and quantify their effects on likelihood various crash levels, with consideration heterogeneity interactions. The empirical analysis is based three years data from two mountainous freeways Guangdong, China, covering 2021 2023. A random parameters logit model interaction terms developed analysis. Goodness-of-fit indicators reveal that accommodating interactive can significantly improve fit performance. estimation results marginal indicate related vehicle type, time day, season cause, 3D curvature, traffic volume significant severity. Notably, are revealed between spring evening, autumn fixed objects, non-local vehicles improper driving. According findings, some countermeasures education, management, design provided preventing injury, which helpful development sustainable systems.

Language: Английский

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