Effectiveness, influence mechanism and optimization strategies of variable message sign: a systematic review

Y Wu, J Liu, N Zhang, J Rong - … research part F: traffic psychology and …, 2024 - Elsevier
Abstract Variable Message Sign (VMS) has been broadly implemented to spread roadway
and traffic guidance information dynamically so as help to promote rational distribution of …

ArtEMon: Artificial Intelligence and Internet of Things Powered Greenhouse Gas Sensing for Real-Time Emissions Monitoring

A Yavari, IB Mirza, H Bagha, H Korala, H Dia, P Scifleet… - Sensors, 2023 - mdpi.com
Greenhouse gas (GHG) emissions reporting and sustainability are increasingly important for
businesses around the world. Yet the lack of a single standardised method of measurement …

Energy-Saving Driving Assistance System Integrated With Predictive Cruise Control for Electric Vehicles

J Hong, X Luo, H Wu, X Na, H Chu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A novel energy-saving driving assistance system (DAS) for electric vehicles (EVs) integrated
with predictive cruise control (PCC) is proposed in this paper to extend the driving range …

Research on energy consumption optimization of predictive cruise control considering the state of the leading vehicle

Y Li, C Pan, J Wang, Z Li, J Liang, C Cai - Energy, 2024 - Elsevier
To comprehensively assess the economic performance of electric vehicles (EVs) cruise
planning and mitigate conflicts with leading vehicles, a dynamic programming-based …

Climate change and six Americas: What can behavior analysts do?

E Meshes, LZ Kamau, M Summers… - Behavior and Social Issues, 2022 - Springer
Climate change, directly impacted by human behavior, has been investigated and evaluated
across disciplines. The Six Americas was developed as a segmentation tool to communicate …

Fuel-Saving-Oriented Collaborative Driving Strategy for Commercial Vehicles Based on Driving Style Recognition

H Chu, Z Li, J Wang, J Hong - Energies, 2023 - mdpi.com
Fuel-saving-oriented collaborative driving is a highly promising yet challenging endeavor
that requires satisfying the driver's operational intentions while surpassing the driver's fuel …

Research on Ecological Driving Following Strategy Based on Deep Reinforcement Learning

W Zhou, N Wu, Q Liu, C Pan, L Chen - Sustainability, 2023 - mdpi.com
Traditional car-following models usually prioritize minimizing inter-vehicle distance error
when tracking the preceding vehicle, often neglecting crucial factors like driving economy …

Expert with Clustering: Hierarchical Online Preference Learning Framework

T Zhou, JH Cho, BR Ardabili, H Tabkhi… - arXiv preprint arXiv …, 2024 - arxiv.org
Emerging mobility systems are increasingly capable of recommending options to mobility
users, to guide them towards personalized yet sustainable system outcomes. Even more so …

A Quantitative Study on Driving Behavior Economy Based on Big Data from the Pure Electric Bus

H Liu, W Yun, B Li, M Dai, Y Wang - Sustainability, 2023 - mdpi.com
In order to help improve the economy, energy savings and emission reductions of pure
electric buses, based on the driving data, a new driving cycle construction method is …

An eco-aware framework for AI-based analysis of contextually enriched automotive trip data

I Gace, H Vdovic, J Babic… - Energy Sources, Part A …, 2023 - Taylor & Francis
The transport sector is one of the main contributors to gas emissions and the greenhouse
effect. Mobility as a Service seeks to combine different means of transport (public transport …