Clairvoyance: Intelligent Route Planning for Electric Buses Based on Urban Big Data

X Lu, K Ota, M Dong, C Yu, H Jin - arXiv preprint arXiv:2112.04682, 2021 - arxiv.org
Nowadays many cities around the world have introduced electric buses to optimize urban
traffic and reduce local carbon emissions. In order to cut carbon emissions and maximize the …

[HTML][HTML] Sustainable Road Planning for trucks in Urbanized areas of Chinese cities using deep learning approaches

H Wang, Z Zhao, Y Ma, H Wu, F Bao - Sustainability, 2023 - mdpi.com
Nowadays, urban areas are experiencing heavy traffic, and governments are implementing
various policies to manage it. For example, in China, trucks are prohibited from entering …

Proactive Route Planning for Electric Vehicles

S Nasehi, F Choudhury, E Tanin - arXiv preprint arXiv:2405.00691, 2024 - arxiv.org
Due to the limited driving range, inadequate charging facilities, and time-consuming
recharging, the process of finding an optimal charging route for electric vehicles (EVs) differs …

[PDF][PDF] Framework for Deep Learning-enabled Building High-Definition Maps and Planning Routes for Autonomous Vehicles

D Lee, H Kim, DH Shim - researchgate.net
Numerous studies in the field of autonomous driving are being actively conducted to ensure
stable driving; this can be achieved by building the information necessary for driving in …

[HTML][HTML] Constructing an environmental friendly low-carbon-emission intelligent transportation system based on big data and machine learning methods

T Peng, X Yang, Z Xu, Y Liang - Sustainability, 2020 - mdpi.com
The sustainable development of mankind is a matter of concern to the whole world.
Environmental pollution and haze diffusion have greatly affected the sustainable …

DeepFEC: Energy consumption prediction under real-world driving conditions for smart cities

S Elmi, KL Tan - Proceedings of the Web Conference 2021, 2021 - dl.acm.org
The status of air pollution is serious all over the world. Analysing and predicting vehicle
energy consumption becomes a major concern. Vehicle energy consumption depends not …

EE-Navi: Energy-Efficient Navigation Service for Electric Vehicle

Y Liu, H Zhang, Y Li, W Zheng, J Li, H Liu - Proceedings of the 2020 5th …, 2020 - dl.acm.org
With the increasing tension of global energy and the situation of worsening ecological
environment, the development of electric vehicle, especially efficiency, has become the …

Deep learning-based approaches for intelligent trip planning using public transport

MT Mahmood - 2022 - lib.buet.ac.bd
Every day millions of users use trip planners (or equivalently journey planners) for smooth
and convenient daily commuting using public transport. These trip planners (eg, Google …

Electric Vehicles Charging Path Planning Based on Deep Learning Model in Urban Road Network

F Liu, J Zhang - Available at SSRN 4093893 - papers.ssrn.com
Due to the insufficient mileage of electric vehicles, electric vehicle owners have mileage
anxiety during travel. Charging station operators cannot provide users with real-time …

Reinforcement Learning Based Route And Stop Planning For Autonomous Vehicle Shuttle Service

S Mahmud, H Shen, YNZ Foutz… - 2022 IEEE 19th …, 2022 - ieeexplore.ieee.org
AV shuttles can be a complement to the existing bus services to fill the gap between the
mobility demand of a city population and the supply of the existing bus services. In contrast …