[雙語(yǔ)翻譯]交通燈外文翻譯--基于優(yōu)化工具的交通燈管理

1、2300 英文單詞， 英文單詞，12500 英文字符，中文 英文字符，中文 3750 字文獻(xiàn)出處 文獻(xiàn)出處: Pop M D. Traffic Lights Management Using Optimization Tool[J]. Procedia-Social and Behavioral Sciences, 2018, 238: 323-330.Traffic Lights Management Using Optimizati

2、on ToolM?d?lin-Dorin PopAbstractThe increase of traffic is one of today’s problems. Numerous cities are affected by traffic congestion and the increase of emissions from fuel use. They have a negative impact on economy,

3、environment and overall on the quality of life. It is necessary to find intelligent solutions for road traffic management. The interest for intelligent traffic systems appeared at the beginning of the 20th century. There

4、 are various methods available for traffic management such as inductive loop detection, infrared sensors, video data analysis etc. The purpose of this paper is to present an approach of optimization tool using in order t

5、o decrease the traffic congestion and the crossing time of a road network.Keywords: intelligent transportation systems; optimization; traffic lights1. Introduction“Intelligent Transportation Systems, or ITS, can be defin

6、ed as the application of computing, information, and communications technologies to the real-time management of vehicles and networks involving the movement of people, goods, and services ” ( Samadi, S., Rad, A.P., Kazem

7、i, F.M., ● links;● lane choice;● vehicle-following.Based on this microscopic representation, an online adaptive traffic signal control algorithm is developed and the behavior of traffic lights is studied. The system is m

8、odeled by using a state called traffic status. The current number of vehicles that form a queue at the level of a lane is represented by a vector. Also, a vector corresponding to the traffic lights signals is defined. Ac

9、tion is the decision the system takes at a time t and is denoted in vectorial form. For each moving lane, it is possible to decide whether the color of the traffic light signal should be maintained or changed based on ac

10、tion vector values. “The network loading model and traffic signal control model are generally constructed in discrete-time, as much as possible to the real circumstance. By comparing different methods, results show that

11、approximate dynamic programming (ADP) with adaptive phase sequence (APS) mode has a quite good performance of queue length and traffic delay reductions” (Yin, B., Dridi, M., & El Moudni, A., 2015). Can be noticed tha

12、t this approach has a good potential for autonomous intersection management.4. Study methodology and simulation4.1. Agent-Based ModelingAgent-Based Modeling (ABM) can be regarded as a modeling style in which individuals

13、and how they interact, as well as their environment, are explicitly represented in a program or even in another physical entity.This type of modeling is associated with the object-oriented programming style. In object-or

14、iented programming languages, such as Java, data and programming methods or procedures are encapsulated in objects that can operate their own data and interact with other objects. One of the features of object-oriented p

15、rogramming language that manages agent-based modeling is inheritance. Thus, it can be noted that ABM has a programming style associated, which is suitable for representing individuals or different objects as agents in a