has been cited by the following article(s):
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[1]
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Evaluating Harsh Braking Events as a Surrogate Measure of Crash Risk Using Connected-Vehicle Telematics
Vehicles,
2026
DOI:10.3390/vehicles8030068
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[2]
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Exploring the heterogeneous relationship between abnormal driving events and freeways crash risk: A two stage analysis framework integrating causal inference and random parameters logit
Accident Analysis & Prevention,
2026
DOI:10.1016/j.aap.2026.108557
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[3]
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Driving Behavior Index and Early Detection of High-Risk Drivers Using Connected Vehicle Data
Transportation Research Record: Journal of the Transportation Research Board,
2026
DOI:10.1177/03611981261456283
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[4]
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RoadSafeAI: Predicting Crash Risk from Road Map Images
2026 IEEE Intelligent Vehicles Symposium (IV),
2026
DOI:10.1109/IV66570.2026.11624000
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[5]
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Assessing the safety impacts of winter road maintenance operations using connected vehicle data
Accident Analysis & Prevention,
2025
DOI:10.1016/j.aap.2024.107837
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[6]
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Analyzing the Suitability of Vehicle Telematics Data as a Surrogate Safety Measure for Short-Term Crashes
Transportation Research Record: Journal of the Transportation Research Board,
2024
DOI:10.1177/03611981241263341
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[7]
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Evaluation of Arterial Signal Coordination with Commercial Connected Vehicle Data: Empirical Traffic Flow Visualization and Performance Measurement
Journal of Transportation Technologies,
2023
DOI:10.4236/jtts.2023.133016
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[8]
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Correlating Connected Vehicle Estimated Deceleration Events with Crash Incidents near Interstate Interchanges
Journal of Transportation Technologies,
2023
DOI:10.4236/jtts.2023.134031
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[9]
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Traffic Incident Management Performance Measures: Ranking Agencies on Roadway Clearance Time
Journal of Transportation Technologies,
2023
DOI:10.4236/jtts.2023.133017
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