A survey on urban traffic control under mixed traffic environment with connected automated vehicles
Efficient traffic control can alleviate traffic congestion, reduce fuel consumption, and improve
traffic safety. With the development of communication and automation technologies, regular …
traffic safety. With the development of communication and automation technologies, regular …
The traffic signal control problem for intersections: a review
Background The intersection traffic signal control problem (ITSCP) has become even more
important as traffic congestion has been more intractable. The ITSCP seeks an efficient …
important as traffic congestion has been more intractable. The ITSCP seeks an efficient …
Traffic graph convolutional recurrent neural network: A deep learning framework for network-scale traffic learning and forecasting
Traffic forecasting is a particularly challenging application of spatiotemporal forecasting, due
to the time-varying traffic patterns and the complicated spatial dependencies on road …
to the time-varying traffic patterns and the complicated spatial dependencies on road …
On the new era of urban traffic monitoring with massive drone data: The pNEUMA large-scale field experiment
The new era of sharing information and “big data” has raised our expectations to make
mobility more predictable and controllable through a better utilization of data and existing …
mobility more predictable and controllable through a better utilization of data and existing …
An integrated resilience assessment model of urban transportation network: A case study of 40 cities in China
The transportation network is essential in providing daily accessibility and essential service
to societies. An acceptable level of service needs to be maintained in critical infrastructures …
to societies. An acceptable level of service needs to be maintained in critical infrastructures …
Traffic light optimization with low penetration rate vehicle trajectory data
Traffic light optimization is known to be a cost-effective method for reducing congestion and
energy consumption in urban areas without changing physical road infrastructure. However …
energy consumption in urban areas without changing physical road infrastructure. However …
Online incremental machine learning platform for big data-driven smart traffic management
The technological landscape of intelligent transport systems (ITS) has been radically
transformed by the emergence of the big data streams generated by the Internet of Things …
transformed by the emergence of the big data streams generated by the Internet of Things …
Resilience and efficiency in transportation networks
Urban transportation systems are vulnerable to congestion, accidents, weather, special
events, and other costly delays. Whereas typical policy responses prioritize reduction of …
events, and other costly delays. Whereas typical policy responses prioritize reduction of …
Traffic state estimation on highway: A comprehensive survey
Traffic state estimation (TSE) refers to the process of the inference of traffic state variables
(ie, flow, density, speed and other equivalent variables) on road segments using partially …
(ie, flow, density, speed and other equivalent variables) on road segments using partially …
Physics-informed deep learning for traffic state estimation based on the traffic flow model and computational graph method
Traffic state estimation (TSE) is a critical task for intelligent transportation systems. However,
it is extremely challenging because the traffic data quality is often affected by the installation …
it is extremely challenging because the traffic data quality is often affected by the installation …