Queue Length Estimation for Signalized Intersections under Partially Connected Vehicle Environment
Queue length is a crucial measurement of traffic signal control at urban intersections. Conventional queue length estimation methods mostly still rely on fixed detectors.
Lu Wei +4 more
doaj +1 more source
Factored Multi-Agent Soft Actor-Critic for Cooperative Multi-Target Tracking of UAV Swarms
In recent years, significant progress has been made in the multi-target tracking (MTT) of unmanned aerial vehicle (UAV) swarms. Most existing MTT approaches rely on the ideal assumption of a pre-set target trajectory. However, in practice, the trajectory
Longfei Yue +5 more
doaj +1 more source
Research on automatic pilot repetition generation method based on deep reinforcement learning
Using computers to replace pilot seats in air traffic control (ATC) simulators is an effective way to improve controller training efficiency and reduce training costs.
Weijun Pan +4 more
doaj +1 more source
Multicriteria cruise control design considering geographic and traffic conditions [PDF]
The paper presents the design of cruise control systems considering road and traffic information during the design of speed trajectories. Several factors are considered such as road inclinations, traffic lights, preceding vehicles, speed limits, engine ...
Varga, István +3 more
core +1 more source
Towards Application of Automated Planning in Urban Traffic Control [PDF]
Advanced urban traffic control systems are often based on feed-back algorithms. For instance, current traffic control systems often operate on the basis of adaptive green phases and flexible co-ordination in road (sub) networks based on measured traffic ...
McCluskey, Thomas Leo +10 more
core +1 more source
Towards distributed adaptive control for road traffic junction signals using learning classifier systems [PDF]
This chapter considers an approach to distributed traffic responsive signal controlusing Learning Classifier Systems (Holland, 1976). The intention is to accommodaterealistic kinds of detector data and wide ranges of candidate performance criteria ...
Bull, L +13 more
core +1 more source
Network-Based Bag-of-Words Model for Text Classification
The rapidly developing internet and other media have produced a tremendous amount of text data, making it a challenging and valuable task to find a more effective way to analyze text data by machine. Text representation is the first step for a machine to
Dongyang Yan +3 more
doaj +1 more source
Outlier Detection of Crowdsourcing Trajectory Data Based on Spatial and Temporal Characterization
As an emerging type of spatio-temporal big data based on positioning technology and navigation devices, vehicle-based crowdsourcing data has become a valuable trajectory data resource.
Xiaoyu Zheng +3 more
doaj +1 more source
Group Formation Basd on SATC-ALO and SOM Neural Network
Firstly, the problem of group-air grouping is analyzed to introduce the aircraft attribute grouping model and aircraft fuel consumption grouping model.
doaj +1 more source
Two-Layer Optimization Algorithm for Multi-UAV Conflict Resolution considering Individual Fairness
In order to solve the unfair individual payment costs problem in the low-altitude unmanned aerial vehicle (UAV) conflict resolution process, a multi-UAV conflict resolution algorithm based on the cooperative game concept “coalition complaint value” is ...
Xusheng Gan +5 more
doaj +1 more source

