Analyzing the impact of mixed vehicle platoon formations on vehicle energy and traffic efficiencies
Connected and automated vehicles (CAVs) offer promising prospects for the future of
transportation. However, the longstanding dominance of human-driven vehicles (HDVs) in …
transportation. However, the longstanding dominance of human-driven vehicles (HDVs) in …
[HTML][HTML] Encouraging Residents to Save Energy by Using Smart Transportation: Incorporating the Propensity to Save Energy into the UTAUT Model
The rapid urbanization and technological advancements of the recent decades have
increased the need for efficient and sustainable transportation solutions. This study …
increased the need for efficient and sustainable transportation solutions. This study …
Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner
Spatiotemporal Traffic Data (STTD) measures the complex dynamical behaviors of the
multiscale transportation system. Existing methods aim to reconstruct STTD using low …
multiscale transportation system. Existing methods aim to reconstruct STTD using low …
A cooperative perception based adaptive signal control under early deployment of connected and automated vehicles
Connected vehicle-based adaptive traffic signal control requires certain market penetration
rates (MPRs) to be effective, usually exceeding 10%. Cooperative perception based on …
rates (MPRs) to be effective, usually exceeding 10%. Cooperative perception based on …
Asynchronous decentralized traffic signal coordinated control in urban road network
This study introduces an asynchronous decentralized coordinated signal control (ADCSC)
framework for multi‐agent traffic signal control in the urban road network. The controller at …
framework for multi‐agent traffic signal control in the urban road network. The controller at …
[HTML][HTML] Modeling residual-vehicle effects on uncertainty estimation of the connected vehicle penetration rate
In the transition to full deployment of connected vehicles (CVs), the CV penetration rate
plays a key role in bridging the gap between partial and complete traffic information. Several …
plays a key role in bridging the gap between partial and complete traffic information. Several …
High-resolution multi-source traffic data in New Zealand
Traffic information is crucial for managing transportation and city planning, but obtaining
national-scale data is difficult due to privacy concerns. Consequently, most current traffic …
national-scale data is difficult due to privacy concerns. Consequently, most current traffic …
[HTML][HTML] Modeling of traffic at a road crossing and optimization of waiting time of the vehicles
Traffic management is a critical activity, the population is increasing day by day and so the
traffic on the road is also increasing. Traffic jams and long waiting queues of vehicles at the …
traffic on the road is also increasing. Traffic jams and long waiting queues of vehicles at the …
Arterial Signal Timing Based on Probe Vehicle Trajectories Under Cyclic Stochastic Demand
As an emerging data source, the trajectories of probe vehicles can compensate for the
deficiencies of high maintenance costs and low coverage ranges of infrastructure-based …
deficiencies of high maintenance costs and low coverage ranges of infrastructure-based …
Scalable Multi-Objective Optimization for Robust Traffic Signal Control in Uncertain Environments
W Guo, W Li, Z Zhang, L Zhang, L Li, D Li - arXiv preprint arXiv …, 2024 - arxiv.org
Intelligent traffic signal control is essential to modern urban management, with important
impacts on economic efficiency, environmental sustainability, and quality of daily life …
impacts on economic efficiency, environmental sustainability, and quality of daily life …