[HTML][HTML] Two-layer adaptive signal control framework for large-scale dynamically-congested networks: Combining efficient Max Pressure with Perimeter Control
Traffic-responsive signal control is a cost-effective, easy-to-implement, network management
strategy, bearing high potential to improve performance in heavily congested networks with …
strategy, bearing high potential to improve performance in heavily congested networks with …
Addressing the urban congestion challenge based on traffic bottlenecks
Historically, urban congestion and street life quality depended on city network hierarchies,
shaped by land use and street layout. Yet navigation apps have shifted focus to travel time …
shaped by land use and street layout. Yet navigation apps have shifted focus to travel time …
A Driver-Pressure-State-Impact-Response study for urban transport resilience under extreme rainfall-flood conditions
This paper proposes a systematic Driver-Pressure-State-Impact-Response (DPSIR) method
for traffic performance assessment under urban floods caused by extreme rainfall events. A …
for traffic performance assessment under urban floods caused by extreme rainfall events. A …
Spatiotemporal dynamics of traffic bottlenecks yields an early signal of heavy congestions
Heavy traffic jams are difficult to predict due to the complexity of traffic dynamics.
Understanding the network dynamics of traffic bottlenecks can help avoid critical large traffic …
Understanding the network dynamics of traffic bottlenecks can help avoid critical large traffic …
Predictive evaluation of city sustainability based on benchmarking method-A case study of 34 cities in northeastern China
J Liu, Z Cheng, P Yi, W Li, L Wang - Sustainable Cities and Society, 2024 - Elsevier
Sustainability is a recurring theme in city development, aiming to foster an environmentally
friendly, livable, and prosperous future. Sustainable development, as a long-term vision for …
friendly, livable, and prosperous future. Sustainable development, as a long-term vision for …
Fiber optic acoustic sensing to understand and affect the rhythm of the cities: proof-of-concept to create data-driven urban mobility models
In the framework of massive sensing and smart sustainable cities, this work presents an
urban distributed acoustic sensing testbed in the vicinity of the School of Technology and …
urban distributed acoustic sensing testbed in the vicinity of the School of Technology and …
A Digital Twin-Based Traffic Guidance Scheme for Autonomous Driving
Burdened by persistent traffic congestion, urban transportation is in a pressing need of more
effective traffic guidance schemes. Existing traffic guidance approaches fall short in …
effective traffic guidance schemes. Existing traffic guidance approaches fall short in …
Study on identification and prevention of traffic congestion zones considering resilience-vulnerability of urban transportation systems
X Zhao, L Hu, X Wang, J Wu - Sustainability, 2022 - mdpi.com
In order to solve the problem of urban short-term traffic congestion and temporal and spatial
heterogeneity, it is important to scientifically delineate urban traffic congestion response …
heterogeneity, it is important to scientifically delineate urban traffic congestion response …
Cooperative Traffic Signal Control Using a Distributed Agent-Based Deep Reinforcement Learning With Incentive Communication
Deep Reinforcement Learning has shown some promise in dynamic traffic signal control by
adapting to real-time traffic conditions. However, multi-intersection control presents …
adapting to real-time traffic conditions. However, multi-intersection control presents …
Traffic congestion prediction and missing data: a classification approach using weather information
Traffic congestion in major cities is becoming increasingly severe. Numerous academic and
commercial initiatives were conducted over the past decades to address this challenge …
commercial initiatives were conducted over the past decades to address this challenge …