A survey on urban traffic control under mixed traffic environment with connected automated vehicles

J Li, C Yu, Z Shen, Z Su, W Ma - Transportation research part C: emerging …, 2023 - Elsevier
Efficient traffic control can alleviate traffic congestion, reduce fuel consumption, and improve
traffic safety. With the development of communication and automation technologies, regular …

Eco-driving and its impacts on fuel efficiency: An overview of technologies and data-driven methods

P Fafoutellis, EG Mantouka, EI Vlahogianni - Sustainability, 2020 - mdpi.com
Eco-driving is a multidimensional concept that includes driving behavior, route selection and
all other choices or behaviors related to the vehicles' fuel consumption (eg, the use of quality …

Real-time detection of abnormal driving behavior based on long short-term memory network and regression residuals

Y Ma, Z Xie, S Chen, F Qiao, Z Li - Transportation research part C …, 2023 - Elsevier
Abnormal driving behavior is one of the main causes of roadway collisions. In most studies
of abnormal driving behavior, the abnormal driving status is detected and analyzed using …

Deep reinforcement learning for personalized driving recommendations to mitigate aggressiveness and riskiness: Modeling and impact assessment

EG Mantouka, EI Vlahogianni - Transportation research part C: emerging …, 2022 - Elsevier
Most driving recommendation and assistance systems, such as Advanced Driving
Assistance Systems (ADAS), are usually designed based on the behavior of an average …

Investigating the impact of environmental and temporal features on mobile phone distracted driving behavior using phone use data

Y Peng, G Song, M Guo, L Wu, L Yu - Accident Analysis & Prevention, 2023 - Elsevier
Mobile phone distracted driving (MPDD) is one of the most significant and common factors in
distraction-affected crashes. In previous studies, MPDD has been described as a self …

The transformation of the insurance industry and road safety by driver safety behaviour telematics

A Ziakopoulos, V Petraki, A Kontaxi, G Yannis - Case studies on transport …, 2022 - Elsevier
In contemporary motorized societies, human factors remain overwhelmingly responsible for
road crash occurrence. Urged by considerable technological developments, insurers have …

Mobile crowdsensing with energy efficiency to control road congestion in internet cloud of vehicles: a review

Z Fatima, AU Rehman, R Hussain, S Karim… - Multimedia Tools and …, 2023 - Springer
Traveling demand increased rapidly on the roads of big cities. Traffic congestion is observed
on a regular basis and causes serious problems for citizens. It is a vital need in larger cities …

Analysis of privacy-enhancing technologies in open-source federated learning frameworks for driver activity recognition

E Novikova, D Fomichov, I Kholod, E Filippov - Sensors, 2022 - mdpi.com
Wearable devices and smartphones that are used to monitor the activity and the state of the
driver collect a lot of sensitive data such as audio, video, location and even health data. The …

[HTML][HTML] Distinguishing between effectual, ineffectual, and problematic smartphone use: a comprehensive review and conceptual pathways model for future research

S Nawaz - Computers in Human Behavior Reports, 2024 - Elsevier
Smartphones are ubiquitous and offer numerous benefits in daily life. However, the ongoing
excessive use of smartphones has been associated with a range of adverse effects …

Acceptance of a Pay-How-You-Drive pricing scheme for city traffic: The case of Athens

P Fafoutellis, EG Mantouka, EI Vlahogianni - Transportation Research Part …, 2022 - Elsevier
In order to investigate the acceptance of a Pay-How-You-Drive (PHYD) road pricing system
in Athens, Greece, a novel scheme is proposed which is designed to provide …