[HTML][HTML] Advancements in sensors and actuators technologies for smart cities: a comprehensive review

O Arshi, S Mondal - Smart Construction and Sustainable Cities, 2023 - Springer
The creation of smart cities has benefited greatly from the quick advancement of sensor and
actuator technology. The basis of data-driven urban environments is supported by these …

A digital economy to develop policy related to transport and logistics. Predictive lessons from Russia

EG Popkova, BS Sergi - Land Use Policy, 2020 - Elsevier
This paper aims to explain how the digital economy might unfold new possibilities for
optimizing the transport and logistics complex in Russia. This paper develops a new …

Impact of connected and autonomous vehicle technology on market penetration and route choices

T Xie, Y Liu - Transportation Research Part C: Emerging …, 2022 - Elsevier
Before having a massive deployment of fully connected and autonomous vehicles (CAVs),
CAVs with different automation levels and human-driven vehicles (HVs) will coexist on roads …

Day-to-day traffic control for networks mixed with regular human-piloted and connected autonomous vehicles

Q Liang, X Li, Z Chen, T Pan, R Zhong - Transportation research part B …, 2023 - Elsevier
The emerging connected autonomous vehicle (CAV) technology offers a significant
opportunity to address the congestion problem caused by the selfish routing behavior of …

Analysis of cooperative driving strategies at road network level with macroscopic fundamental diagram

J Zhang, H Pei, XJ Ban, L Li - Transportation research part C: emerging …, 2022 - Elsevier
Cooperative driving, especially the passing order, is the critical link to improve the traffic
efficiency of the road network by using automated vehicles (AVs). However, most studies …

[HTML][HTML] Leveraging ride-hailing services for social good: Fleet optimal routing and system optimal pricing

Z Ke, S Qian - Transportation Research Part C: Emerging …, 2023 - Elsevier
With the penetration of ride-hailing services, the impacts of transportation network
companies (TNC) on network performance grow. TNC comes with a ubiquitous sensing and …

Modeling and managing mixed on-demand ride services of human-driven vehicles and autonomous vehicles

D Mo, XM Chen, J Zhang - Transportation Research Part B: Methodological, 2022 - Elsevier
We model a monopoly ride-sourcing market where the platform adopts the service types of
human-driven vehicles (HVs) and autonomous vehicles (AVs). Both congestion externality …

Coordination of mixed platoons and eco-driving strategy for a signal-free intersection

S Jiang, T Pan, R Zhong, C Chen, X Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper investigates the collaborative control of vehicular traffic for a signal-free
intersection. The traffic under consideration is mixed with connected autonomous vehicles …

[HTML][HTML] Toward Efficient Smart Management: A Review of Modeling and Optimization Approaches in Electric Vehicle-Transportation Network-Grid Integration

M Li, Y Wang, P Peng, Z Chen - Green Energy and Intelligent …, 2024 - Elsevier
The increasing scale of electric vehicles (EVs) and their stochastic charging behavior have
resulted in a growing coupling between the transportation network and the grid …

Differentiable bilevel programming for stackelberg congestion games

J Li, J Yu, Q Wang, B Liu, Z Wang, YM Nie - arXiv preprint arXiv …, 2022 - arxiv.org
A Stackelberg congestion game (SCG) is a bilevel program in which a leader aims to
maximize their own gain by anticipating and manipulating the equilibrium state at which …