[HTML][HTML] 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 …

[HTML][HTML] Highway planning trends: a bibliometric analysis

K Castañeda, O Sánchez, RF Herrera, G Mejía - Sustainability, 2022 - mdpi.com
An efficient highway infrastructure network is a determining factor in promoting the socio-
economic development of countries and regions. Highway planning activities are highly …

[HTML][HTML] An Integrated Simulation Environment to test the effectiveness of GLOSA services under different working conditions

A Coppola, L Di Costanzo, L Pariota, S Santini… - … research part C …, 2022 - Elsevier
Abstract The Green Light Optimal Speed Advisory (GLOSA) system is a Cooperative
Intelligent Transportation System (C-ITS) that is supposed to reduce the energy consumption …

Adaptive speed planning of connected and automated vehicles using multi-light trained deep reinforcement learning

B Liu, C Sun, B Wang, F Sun - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Through shared real-time traffic information and perception of complex environments,
connected and automated vehicles (CAVs) are endowed with global decision-making …

[PDF][PDF] Intelligent transportation systems (ITS): A systematic review using a Natural Language Processing (NLP) approach

TD Putri - Heliyon, 2021 - cell.com
Abstract Intelligent Transportation Systems (ITS) is not a new concept. Notably, ITS has been
cited in various journal articles and proceedings papers around the world, and it has …

[HTML][HTML] Vehicle telematics for safer, cleaner and more sustainable urban transport: A review

O Ghaffarpasand, M Burke, LK Osei, H Ursell… - Sustainability, 2022 - mdpi.com
Urban transport contributes more than a quarter of the global greenhouse gas emissionns
that drive climate change; it also produces significant air pollution emissions. Furthermore …

Edge computing ai-iot integrated energy-efficient intelligent transportation system for smart cities

S Chavhan, D Gupta, SP Gochhayat, CB N… - ACM Transactions on …, 2022 - dl.acm.org
With the advancement of information and communication technologies (ICTs), there has
been high-scale utilization of IoT and adoption of AI in the transportation system to improve …

Hierarchical eco-driving control for plug-in hybrid electric vehicles under multiple signalized intersection scenarios

Z Lei, J Cai, J Li, D Gao, Y Zhang, Z Chen… - Journal of Cleaner …, 2023 - Elsevier
With the development of vehicle-to-everything (V2X) and autonomous driving technologies,
plug-in hybrid electric vehicles (PHEVs) enable to absorb surrounding information to …

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 …

Cooperative traffic signal assistance system for non-motorized users and disabilities empowered by computer vision and edge artificial intelligence

HF Yang, Y Ling, C Kopca, S Ricord, Y Wang - Transportation research part …, 2022 - Elsevier
Abstract Information and communication technology has many promising benefits including
improvement the traffic network capacity, efficiency, and stability. However, to date, most of …