During the distributed learning process, the experience samples of different traffic light agents Conclusion In this paper, we develop a distributed deep reinforcement learning method for the traffic light control problem. First, the three key elements of state, action, and reward of the reinforcement...
A deterministic two-dimension dominate road traffic model with open boundary condition is studied by means of computer simulation.Some typical traffic light periods according to the maximum and minimum velocity are presented based on the fundamental graph and the configuration,the causes are analyzed as...
light—not only prevented collisions between vehicles but also allowed pedestrians to cross the street safely. Although Morgan’s invention was not the first traffic signal, it controlled traffic better than many earlier signals had. He patented it in 1923 and eventually sold the rights to the dev...
“Method” introduces our suggested Multi-Task Learning Fusion (MTEFU) algorithm based on deep learning, input feature analysis, and source task classification partitioning method. “Experiment” conducts analysis and experiments on the benchmark dataset. “Discussion” explores potential issues and ...
Traffic light Self-Adaptive Control System Based on EDA Technology This paper presents a self-adaptive control method of traffic light. In this system, the EDA, AHDL and CPLD technology are discussed. YANGXianfu - 《Journal of Chengdu University》 被引量: 9发表: 2003年 Improvement of conventio...
This approach is robust to traditional sources of error, and may serve as a viable supplemental detection method. Several different classification models are presented for inferring traffic light status based on these patterns. Their performance is evaluated over real and simulated data sets, resulting...
1,Traffic Light Mapping and Detection 2,Traffic Light Detection: A Learning Algorithm and Evaluations on Challenging Dataset 3,A Tlreshold Selection Method from Gray-Level Histograms 4,Research on Traffic Object Detection and Recognition in Urban Environment ...
The comparison of performance between the two models of traffic light system clearly indicates that the fuzzy logic based traffic lights control system is more efficient, flexible and adaptable in controlling the traffic flow. 展开 关键词: phase length extension fuzzy traffic controller Sugeno-type ...
Thus, it allows to accurately follow simultaneously all bottlenecks' dynamics and evolution in near real-time even during intervention in the system, for example, by using an adaptive traffic light control system. Moreover, as our method is not based on the identification of historical patterns, ...
Application of Morphological Method of Edge D etection and fuzzy logic technique for T raffic light controlTraffic is the major problem which every country... M Arora,VK Banga 被引量: 0发表: 0年 Image analysis and rule-based reasoning for a traffic monitoring system The paper describes a sy...