摘要: PROBLEM TO BE SOLVED: To control the traffic signals even at an intersection where the intersecting roads are both highways by realizing traffic signal controls sufficiently linked with traffic signals at an adjacent intersection on any road....
Temporary traffic control device detection for road construction projects using deep learning application. Constr. Res. Congr. 2022, 392–401. [Google Scholar] Song, K.; Chen, D.; Seo, S.; Jeon, J.; Kang, K. Feasibility of Deep Learning in Segmentation of Road Construction Work Zone ...
2. Traffic Signal Controller This section describes the NB solution for two players (Section 2.1), Section 2.2 describes how the NB approach is adapted and extended to control a multi-phase (player) signalized intersection (DNB), and Section 2.3 describes the de-centralized mechanism of the DNB...
Provided is a traffic signal control system that can operate in a flexible and sophisticated manner by, after selecting a pattern of a traffic signal control parameter corresponding to the current time using a first pattern switching table that is used in a time-controlled pattern selection scheme...
After training is complete for a given period, there will be a control function u(•) (based on a converged value of weights θ) that provides optimal signal timings for any specific time within the period given the current traffic conditions.4 Note that the training is based on adjacent ...
Hikvision’s Signal Control Systems allow traffic lights to be coordinated to keep traffic flowing as freely as possible. They consume data from traffic guidance systems to understand where traffic is building up at an intersection.
Reinforcement learning (RL) has been the object of investigation of many recent papers as a promising approach to control such a stochastic environment. The goal of this paper is to analyze the feasibility of RL, particularly the use of Q-learning algorithm for adaptive traffic signal control in...
Adaptive traffic signal control in a connected vehicle environment has shown a powerful ability to effectively alleviate urban traffic congestions to achieve desirable objectives (e.g., delay minimization). Connected vehicle technology, as an emerging technology, is a mobile data platform that enables ...
In order to improve the efficiency of traffic signal control for an over-saturated intersection group, a non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) based traffic signal control optimization algorithm is proposed. The throughput maximum and average queue ratio minimum for the critical route ...
Traffic signal control is one of the most cost-effective means of improving urban mobility. Signal control can be categorized as pretimed, actuated, and adaptive. Among these, both pretimed and coordinated actuated controllers deploy multiple signal timing plans to account for traffic demand changes...