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Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions

Transportation research. Part C, Emerging technologies, 2015-11, Vol.60, p.416-442

2015

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A descriptive analysis of the effect of the COVID-19 pandemic on driving behavior and road safety

Transportation research interdisciplinary perspectives, 2020-09, Vol.7, p.100186-100186, Article 100186

2020

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A new integrated collision risk assessment methodology for autonomous vehicles

Accident analysis and prevention, 2019-06, Vol.127, p.61-79

2019

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Did the COVID-19 pandemic influence traffic fatalities in 2020? A presentation of first findings

IATSS research, 2021-12, Vol.45 (4), p.469-484

2021

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Data-Driven Estimation of a Driving Safety Tolerance Zone Using Imbalanced Machine Learning

Sensors (Basel, Switzerland), 2022-07, Vol.22 (14), p.5309

2022

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Negotiation and Decision-Making for a Pedestrian Roadway Crossing: A Literature Review

Sustainability, 2019-12, Vol.11 (23), p.6713

2019

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Examination of the Effect of Task Complexity and Coping Capacity on Driving Risk: A Cross-Country and Transportation Mode Comparative Study

Sensors (Basel, Switzerland), 2023-12, Vol.23 (24), p.9663

2023

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Modelling the relationship between covid-19 restrictive measures and mobility patterns across Europe using time-series analysis

European journal of transport and infrastructure research, 2022-01, Vol.22 (2)

2022

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Impact of texting and web surfing on driving behavior and safety in rural roads

International Journal of Transportation Science and Technology, 2023-09, Vol.12 (3), p.665-682

2023

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Unfolding the dynamics of driving behavior: a machine learning analysis from Germany and Belgium

European transport research review, 2024-07, Vol.16 (1), p.40-13, Article 40

2024

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Crash Risk Estimation Due to Lane Changing: A Data-Driven Approach Using Naturalistic Data

IEEE transactions on intelligent transportation systems, 2022-04, Vol.23 (4), p.3756-3765

2022

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Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece

Accident analysis and prevention, 2021-11, Vol.162, p.106391-106391, Article 106391

2021

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Prediction of Lane-Changing Maneuvers with Automatic Labeling and Deep Learning

Transportation research record, 2020-07, Vol.2674 (7), p.336-347

2020

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Real-time monitoring of driver distraction: State-of-the-art and future insights

Accident analysis and prevention, 2023-11, Vol.192, p.107241-107241, Article 107241

2023

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Identifying the impact of the COVID-19 pandemic on driving behavior using naturalistic driving data and time series forecasting

Journal of safety research, 2021-09, Vol.78, p.189-202

2021

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One year of COVID-19: Impacts on safe driving behavior and policy recommendations

Journal of safety research, 2023-02, Vol.84, p.41-60

2023

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Prediction of rear-end conflict frequency using multiple-location traffic parameters

Accident analysis and prevention, 2021-03, Vol.152, p.106007-106007, Article 106007

2021

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A Simulation Study of Predicting Real-Time Conflict-Prone Traffic Conditions

IEEE transactions on intelligent transportation systems, 2018-10, Vol.19 (10), p.3196-3207

2018

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Interaction of automated driving systems with pedestrians: challenges, current solutions, and recommendations for eHMIs

Transport reviews, 2021-11, Vol.41 (6), p.788-813

2021

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Identification of driving simulator sessions of depressed drivers: A comparison between aggregated and time-series classification

Transportation research. Part F, Traffic psychology and behaviour, 2020-11, Vol.75, p.16-25

2020

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Modeling and Sustainability Implications of Harsh Driving Events: A Predictive Machine Learning Approach

Sustainability, 2024-07, Vol.16 (14), p.6151

2024

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COVID-19 and Driving Behavior: Which Were the Most Crucial Influencing Factors?

Data science for Transportation, 2023-12, Vol.5 (3), Article 16

2023

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Driving Behavior and Its Correlation with COVID-19 Response Measures: A Neural Network Forecasting Analysis

Journal of transportation engineering, Part A, 2022-10, Vol.148 (10)

2022

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Microscopic traffic simulation models for connected and automated vehicles (CAVs) – state-of-the-art

Procedia computer science, 2020, Vol.170, p.474-481

2020

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Was average speed affected by the COVID-19 response measures? Findings from Athens, Greece

Transportation research procedia (Online), 2023, Vol.72, p.3212-3219

2023

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Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions

A descriptive analysis of the effect of the COVID-19 pandemic on driving behavior and road safety

A new integrated collision risk assessment methodology for autonomous vehicles

Did the COVID-19 pandemic influence traffic fatalities in 2020? A presentation of first findings

Data-Driven Estimation of a Driving Safety Tolerance Zone Using Imbalanced Machine Learning

Negotiation and Decision-Making for a Pedestrian Roadway Crossing: A Literature Review

Examination of the Effect of Task Complexity and Coping Capacity on Driving Risk: A Cross-Country and Transportation Mode Comparative Study

Modelling the relationship between covid-19 restrictive measures and mobility patterns across Europe using time-series analysis

Impact of texting and web surfing on driving behavior and safety in rural roads

Unfolding the dynamics of driving behavior: a machine learning analysis from Germany and Belgium

Crash Risk Estimation Due to Lane Changing: A Data-Driven Approach Using Naturalistic Data

Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece

Prediction of Lane-Changing Maneuvers with Automatic Labeling and Deep Learning

Real-time monitoring of driver distraction: State-of-the-art and future insights

Identifying the impact of the COVID-19 pandemic on driving behavior using naturalistic driving data and time series forecasting

One year of COVID-19: Impacts on safe driving behavior and policy recommendations

Prediction of rear-end conflict frequency using multiple-location traffic parameters

A Simulation Study of Predicting Real-Time Conflict-Prone Traffic Conditions

Interaction of automated driving systems with pedestrians: challenges, current solutions, and recommendations for eHMIs

Identification of driving simulator sessions of depressed drivers: A comparison between aggregated and time-series classification

Modeling and Sustainability Implications of Harsh Driving Events: A Predictive Machine Learning Approach

COVID-19 and Driving Behavior: Which Were the Most Crucial Influencing Factors?

Driving Behavior and Its Correlation with COVID-19 Response Measures: A Neural Network Forecasting Analysis

Microscopic traffic simulation models for connected and automated vehicles (CAVs) – state-of-the-art

Was average speed affected by the COVID-19 response measures? Findings from Athens, Greece

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