Accident Analysis & Prevention

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逐年被引这些论文每年被引用的次数

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1. 1
   Evidence-grounded road safety countermeasure recommendation from crash-context queries: A modular LLM framework20270
2. 2
   A risk-informed urban low-altitude air network planning method under large language model guidance20270
3. 3
   Crash risk estimation in freeway exit influence areas considering exit configurations: An interpretability-informed Bayesian hierarchical extreme value model20270
4. 4
   Framework for integration of regional transportation model (RTM) with collision prediction model (CPM)20270
5. 5
   A multi-dimensional attention-based framework for personalized driver fatigue assessment for proactive commercial-vehicle crash prevention20270
6. 6
   Physiological correlates and multimodal recognition of hazard-perception performance in train drivers under abnormal states20270
7. 7
   Quantifying internal and external heterogeneous effects of bus drivers’ personality traits and driving behavior on bus crashes: Insights from questionnaires and NDS data20270
8. 8
   Alertness-related differences in CF strategy among truck drivers based on naturalistic driving data20270
9. 9
   Macro-level geospatial determinants of E-bike crash risk: town-level analysis20270
10. 10
    Designing warning sign configurations to increase driver attention and improve safety at highway work zones20270

高被引文章

1. 1
   Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis20191,059
2. 2
   What determines the take-over time? An integrated model approach of driver take-over after automated driving2015486
3. 3
   A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling2021486
4. 4
   Effectiveness of forward collision warning and autonomous emergency braking systems in reducing front-to-rear crash rates2016481
5. 5
   Evaluating the safety impact of connected and autonomous vehicles on motorways2019477
6. 6
   Comparison of four statistical and machine learning methods for crash severity prediction2017470
7. 7
   Assessing the utility of TAM, TPB, and UTAUT for advanced driver assistance systems2017430
8. 8
   Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving2016414
9. 9
   What are the factors that contribute to road accidents? An assessment of law enforcement views, ordinary drivers’ opinions, and road accident records2018408
10. 10
    Real-time crash risk prediction on arterials based on LSTM-CNN2019396

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