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 …
Two-level vehicle path planning model for multi-warehouse robots with conflict solution strategies and improved ACO
P Wu, L Zhong, J Xiong, Y Zeng… - Journal of Intelligent and …, 2023 - ieeexplore.ieee.org
With the rapid development of warehouse robots in logistics and other industries, research
on their path planning has become increasingly important. Based on the analysis of various …
on their path planning has become increasingly important. Based on the analysis of various …
An eco-driving strategy for autonomous electric vehicles crossing continuous speed-limit signalized intersections
J Liu, C Wang, W Zhao - Energy, 2024 - Elsevier
The rapid advancement of Vehicle-to-Everything communication (V2X) technology presents
opportunities for enhancing traffic energy efficiency. With V2X, this paper introduces an eco …
opportunities for enhancing traffic energy efficiency. With V2X, this paper introduces an eco …
Intersection control based on Fine-grained Phases for connected and automated vehicles
Traditional traffic signal control is one of the most widely used urban traffic control methods,
due to its high efficiency, robustness, and simplicity. However, in the era of connected and …
due to its high efficiency, robustness, and simplicity. However, in the era of connected and …
Estimation of vehicle control delay using artificial intelligence techniques for heterogeneous traffic conditions
The conventional standardized theoretical models (such as Webster, Alcelik, Indo-HCM)
used for the delay estimation revolve around the mathematical hypothesis and assumptions …
used for the delay estimation revolve around the mathematical hypothesis and assumptions …
A methodology of cooperative driving based on microscopic traffic prediction
We present a methodology of cooperative driving in vehicular traffic, in which for short-time
traffic prediction rather than one of the statistical approaches of artificial intelligence (AI), we …
traffic prediction rather than one of the statistical approaches of artificial intelligence (AI), we …
A Tightly Coupled Bi-Level Coordination Framework for CAVs at Road Intersections
Since the traffic administration at road intersections determines the capacity bottleneck of
modern transportation systems, intelligent cooperative coordination for connected …
modern transportation systems, intelligent cooperative coordination for connected …
Reasoning Graph-Based Reinforcement Learning to Cooperate Mixed Connected and Autonomous Traffic at Unsignalized Intersections
Cooperation at unsignalized intersections in mixed traffic environments, where Connected
and Autonomous Vehicles (CAVs) and Manually Driving Vehicles (MVs) coexist, holds …
and Autonomous Vehicles (CAVs) and Manually Driving Vehicles (MVs) coexist, holds …