Urban traffic signal control with connected and automated vehicles: A survey
Inefficient traffic control is pervasive in modern urban areas, which would exaggerate traffic
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …
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 …
Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication in a heterogeneous wireless network–Performance evaluation
Abstract Connected Vehicle Technology (CVT) requires wireless data transmission between
vehicles (V2V), and vehicle-to-infrastructure (V2I). Evaluating the performance of different …
vehicles (V2V), and vehicle-to-infrastructure (V2I). Evaluating the performance of different …
Physics-informed deep learning for traffic state estimation: A hybrid paradigm informed by second-order traffic models
Traffic state estimation (TSE) reconstructs the traffic variables (eg, density or average
velocity) on road segments using partially observed data, which is important for traffic …
velocity) on road segments using partially observed data, which is important for traffic …
Traffic signal optimization for partially observable traffic system and low penetration rate of connected vehicles
Observability and controllability are two critical requirements for a partially observable
transportation system. This paper proposes a stepwise signal optimization framework with …
transportation system. This paper proposes a stepwise signal optimization framework with …
Real-time traffic state estimation in urban corridors from heterogeneous data
In recent years, rapid advances in information technology have led to various data collection
systems which are enriching the sources of empirical data for use in transport systems …
systems which are enriching the sources of empirical data for use in transport systems …
A network centrality measure framework for analyzing urban traffic flow: A case study of Wuhan, China
S Zhao, P Zhao, Y Cui - Physica A: Statistical Mechanics and its …, 2017 - Elsevier
In this paper, we propose an improved network centrality measure framework that takes into
account both the topological characteristics and the geometric properties of a road network …
account both the topological characteristics and the geometric properties of a road network …
Trajectory reconstruction for freeway traffic mixed with human-driven vehicles and connected and automated vehicles
Y Wang, L Wei, P Chen - Transportation research part C: emerging …, 2020 - Elsevier
The development of technologies related to connected and automated vehicles (CAVs)
allows for a new approach to collect vehicle trajectory. However, trajectory data collected in …
allows for a new approach to collect vehicle trajectory. However, trajectory data collected in …
Mining urban recurrent congestion evolution patterns from GPS-equipped vehicle mobility data
S An, H Yang, J Wang, N Cui, J Cui - Information Sciences, 2016 - Elsevier
In this study, we developed a method for measuring urban Recurrent Congestion (RC)
evolution patterns based on grid divisions and GPS-equipped vehicle mobility data. The …
evolution patterns based on grid divisions and GPS-equipped vehicle mobility data. The …
Uncovering the spatiotemporal patterns of traffic congestion from large-scale trajectory data: A complex network approach
Understanding the spatiotemporal characteristics of traffic congestion is the cornerstone of
generating traffic management and control strategies. Based on the large-scale taxi …
generating traffic management and control strategies. Based on the large-scale taxi …