[HTML][HTML] Design and analysis of logistic agent-based swarm-neural network for intelligent transportation system
Driven by the massive number of connected vehicles and the stringent requirements of data-
intensive applications, logistics transportation systems have evolved to fully comprehend its …
intensive applications, logistics transportation systems have evolved to fully comprehend its …
A bibliometric analysis and review on reinforcement learning for transportation applications
Transportation is the backbone of the economy and urban development. Improving the
efficiency, sustainability, resilience, and intelligence of transportation systems is critical and …
efficiency, sustainability, resilience, and intelligence of transportation systems is critical and …
[HTML][HTML] Influence of variable speed limit control on fuel and electric energy consumption, and exhaust gas emissions in mixed traffic flows
Modern urban mobility needs new solutions to resolve high-complexity demands on urban
traffic-control systems, including reducing congestion, fuel and energy consumption, and …
traffic-control systems, including reducing congestion, fuel and energy consumption, and …
Integrating Connected and Automated Shuttles with Other Mobility Systems: Challenges and Future Directions
Connected and Automated Shuttles (CAS) are emerging technologies recently introduced
into urban intelligent transport systems to enhance their efficiency. However, the majority of …
into urban intelligent transport systems to enhance their efficiency. However, the majority of …
Travel mode identification with GPS trajectories using wavelet transform and deep learning
JQ James - IEEE Transactions on Intelligent Transportation …, 2020 - ieeexplore.ieee.org
Accurate identification in public travel modes is an essential task in intelligent transportation
systems. In recent years, GPS-based identification is gradually replacing the conventional …
systems. In recent years, GPS-based identification is gradually replacing the conventional …
Dynamic lane reversal routing and scheduling for connected and autonomous vehicles: Formulation and distributed algorithm
An effective intelligent transportation system is a core part of modern smart city. The Internet
of Things and vehicular communication technologies facilitate rapid development of …
of Things and vehicular communication technologies facilitate rapid development of …
Urban Internet of Electric Vehicle Parking System for Vehicle-to-Grid Scheduling: Formulation and Distributed Algorithm
The application of Internet of electric vehicles has greatly enhanced the efficiency of the
urban intelligent transportation system. The coordination of Internet of electric vehicles is …
urban intelligent transportation system. The coordination of Internet of electric vehicles is …
Online distributed routing problem of electric vehicles
Considering the penetration of numerous electric vehicles (EV) into the transportation sector,
the EV routing problem that jointly optimizes the charging and routing process of EVs is …
the EV routing problem that jointly optimizes the charging and routing process of EVs is …
Core-selecting auctions for autonomous vehicle public transportation system
With the technological advancements, the autonomous vehicle (AV) is expected to play an
active role in the future transportation system. An AV-based public transportation system was …
active role in the future transportation system. An AV-based public transportation system was …
Coordinated optimization of logistics scheduling and electricity dispatch for electric logistics vehicles considering uncertain electricity prices and renewable generation
Electric logistics vehicles (ELVs) have the potential to significantly reduce pollution and
carbon emissions, which are considered highly promising for achieving green logistics …
carbon emissions, which are considered highly promising for achieving green logistics …