本文關(guān)鍵詞：基于交通預測的多態(tài)交通流信號控制，由筆耕文化傳播整理發(fā)布。

基于交通預測的多態(tài)交通流信號控制

Multi-state Flow Signal Control Based on Traffic Prediction

[1] [2] [3] [4] [5]

DING Heng , ZHANG Wei-hua , ZHENG Xiao-yan , CHEN Wu-wei , LI Yang-yang （1. School of Transportation Engineering, Hefei University of Technology, Hefei 230009, Anhui, China;

[1]合肥工業(yè)大學交通運輸工程學院,安徽合肥230009; [2]長安大學公路學院,陜西西安710064; [3]長安大學汽車學院,陜西西安710064

文章摘要：為解決現(xiàn)有信號控制方法對多態(tài)交通流交叉口適應性不足的問題,通過在交叉口設(shè)置多功能進口車道和車輛檢測器、車道控制器等硬件設(shè)施,進行了短時交通流預測基礎(chǔ)上的多態(tài)交通流條件下交叉口信號配時優(yōu)化研究。根據(jù)交通量預測數(shù)據(jù),建立信號控制延誤估計模型,以交叉口總延誤最小為優(yōu)化目標選取多功能車道流向,根據(jù)每相位最大排隊長度逐步優(yōu)化綠燈時長并實施信號控制。短時交通預測以小波分析為基礎(chǔ),采用RBF神經(jīng)網(wǎng)絡(luò)及Markov鏈分別預測交通流的穩(wěn)態(tài)與隨機部分。使用VISSIM軟件對設(shè)置多功能車道的交叉口多態(tài)流信號控制方法進行了交通仿真。分析結(jié)果表明：該方法可有效降低行車延誤,提高交叉口服務水平。

Abstr：The current signal control methods are insufficient in adaptability to multi-state traffic flow intersection. In order to solve this problem, on the basis of short-term traffic flow prediction, signal timing optimization for multi-state flow intersection was studied by setting multi-functional entrance lanes, vehicle detectors, lane controllers and other hardware facilities. According to the prediction data of traffic volume in intersection and signal control delay estimation model, multi-function lane flow direction was selected with the minimum total operation delay as the optimization target. Green light length was optimized gradually based on maximum queue length in every phase and signal control was implemented. Based on wavelet analysis, steady and random part of short-term traffic flow was predicted with radial basis function （RBF） neural network and Markov chain respectively. The multi-state flow signal control method at the intersection with multifunctional lanes was simulated by software VISSIM. The results show that this method can decrease the traffic delay effectively and improve service level of intersection.

文章關(guān)鍵詞：

Keyword：:traffic engineering multi-state flow traffic simulation signal control flow predic tion timing optimization

課題項目：國家自然科學基金項目（51178158,71071044）; 合肥工業(yè)大學博士學位人員專項資助基金項目（2012HGBZ0185）; 中央高�；�本科研業(yè)務費專項資金項目（2010HGZY0010,2012HGQC0016,CHD2012JC062）

作者信息：會員可見

  本文關(guān)鍵詞：基于交通預測的多態(tài)交通流信號控制，由筆耕文化傳播整理發(fā)布。