Can language models be used for real-world urban-delivery route optimization?

A review of machine learning approaches for electric vehicle energy consumption modelling in urban transportation

X Zhang, Z Zhang, Y Liu, Z Xu, X Qu - Renewable Energy, 2024 - Elsevier
Global warming and carbon emissions have drawn attention to the need to decarbonize
transport. Promoting electric vehicles (EVs) has become an important strategy towards this …
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Green development of the maritime industry: Overview, perspectives, and future research opportunities

T Wang, P Cheng, L Zhen - Transportation Research Part E: Logistics and …, 2023 - Elsevier
Maritime industry is the artery of the global economy since it carries around 90% of the
volume of global trade. However, the fierce environmental problems associated with human …
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[HTML][HTML] Envisioning the future of transportation: Inspiration of ChatGPT and large models

X Qu, H Lin, Y Liu - Communications in Transportation Research, 2023 - Elsevier
Traditional artificial intelligence (AI) strategies, reliant on manually crafted patterns or task-
specific feature representations, often suffer from overfitting and struggle with the dynamic …
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Formation control of multi-agent systems with actuator saturation via neural-based sliding mode estimators

Y Fei, P Shi, Y Li, Y Liu, X Qu - Knowledge-Based Systems, 2024 - Elsevier
In this paper, the formation control problem for second-order multi-agent systems with model
uncertainties and actuator saturation is investigated. An estimator-based robust formation …
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[PDF] arxiv.org

Towards knowledge-driven autonomous driving

X Li, Y Bai, P Cai, L Wen, D Fu, B Zhang… - ar** emission in port: A bibliometric analysis
J Wang, H Li, Z Yang, YE Ge - … Part E: Logistics and Transportation Review, 2024 - Elsevier
Shore power not only reduces ship emissions and noise in berthing but also has shown
practical implications for maritime competitiveness. However, the existing literature and …
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[HTML][HTML] Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review

Y Yang, Y Liu, G Li, Z Zhang, Y Liu - Transportation research part E …, 2024 - Elsevier
Abstract Automatic Identification System (AIS) data holds immense research value in the
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …
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Tracking the source of congestion based on a probabilistic sensor flow assignment model

Q Cao, J Yuan, G Ren, Y Qi, D Li, Y Deng… - … Research Part C …, 2024 - Elsevier
Tracking the source of congestion, namely where the congested traffic flow comes from and
goes to, is a key prerequisite to understanding the causes of traffic congestion and facilitates …
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Delay-throughput tradeoffs for signalized networks with finite queue capacity

S Cui, Y Xue, K Gao, K Wang, B Yu, X Qu - Transportation research part B …, 2024 - Elsevier
Network-level adaptive signal control is an effective way to reduce delay and increase
network throughput. However, in the face of asymmetric exogenous demand, the increase of …
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