Eco-driving technology for sustainable road transport: A review

Y Huang, ECY Ng, JL Zhou, NC Surawski… - … and sustainable energy …, 2018 - Elsevier
Road transport consumes significant quantities of fossil fuel and accounts for a significant
proportion of CO 2 and pollutant emissions worldwide. The driver is a major and often …

Short-term traffic flow prediction in smart multimedia system for Internet of Vehicles based on deep belief network

F Kong, J Li, B Jiang, H Song - Future Generation Computer Systems, 2019 - Elsevier
In the multimedia system for Internet of Vehicles (IoVs), accurate traffic flow information
processing and feedback can give drivers guidance. In traditional information processing for …

A novel model and algorithm for designing an eco-oriented demand responsive transit (DRT) system

X Li, T Wang, W Xu, H Li, Y Yuan - Transportation Research Part E …, 2022 - Elsevier
Since the flexibility and adaptability of demand responsive transit (DRT) give more potentials
and spaces of embracing eco-routing strategy, this study develops a novel framework of …

A landscape of research on bus driver behavior: taxonomy, open challenges, motivations, recommendations, limitations, and pathways solution in future

A Mohammed, MRM Yazid, BB Zaidan… - IEEE …, 2021 - ieeexplore.ieee.org
Driver behavior is a concerning issue in the area of intelligent transportation system (ITS).
Driver behavior is a significant key player in a wide range of unpleasant events during the …

A bus arrival time prediction method based on position calibration and LSTM

Q Han, K Liu, L Zeng, G He, L Ye, F Li - IEEE Access, 2020 - ieeexplore.ieee.org
Bus arrival time prediction not only provides convenience for passengers, but also helps to
improve the efficiency of intelligent transportation system. Unfortunately, the low precision of …

An LSTM-based driving operation suggestion method for riding comfort-oriented critical zone

L Zeng, H Zhang, Q Han, Y Tang, L Ye, Y Wu… - Journal of Ambient …, 2023 - Springer
Driving behavior optimization can not only reduce energy consumption and the probability of
traffic accidents but also improve the riding experience of passengers. Unfortunately, the low …

Evaluation of professional driver's eco-driving skills based on type-2 fuzzy logic model

S Zdravković, D Vujanović, M Stokić… - Neural Computing and …, 2021 - Springer
Due to the great market competition, transport companies face the need to reduce their
vehicle fleet costs. The vehicle fleet managers' actions on the driver's driving style to achieve …

Combining a universal OBD-II module with deep learning to develop an eco-driving analysis system

MH Yen, SL Tian, YT Lin, CW Yang, CC Chen - Applied Sciences, 2021 - mdpi.com
Vehicle technology development drives economic development but also causes severe
mobile pollution sources. Eco-driving is an effective driving strategy for solving air pollution …

Data-driven-based fuzzy control system design for a hybrid electric vehicle

A Beşkardeş, Y Hameş - Electrical Engineering, 2023 - Springer
A well-designed energy management system plays a crucial role in increasing fuel efficiency
and reducing polluting emissions in dual-power hybrid electric vehicles (HEVs), which are …

Environmental effects of eco-driving on courier delivery

JF Coloma, M García, G Fernández, A Monzón - Sustainability, 2021 - mdpi.com
In recent years, eco-driving has proven to be an effective tool for reducing fuel consumption
and greenhouse gas (GHG) emissions. Until now, most research carried out has focused on …