本文關(guān)鍵詞： 車路協(xié)同 交通姿態(tài)預(yù)警 擁擠擴(kuò)散范圍估計(jì) 擁擠調(diào)控　出處：《重慶交通大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：交通擁擠是城市交通的突出問題，容易誘發(fā)交通事故、環(huán)境污染以及能耗等諸多社會(huì)問題。車路協(xié)同技術(shù)是當(dāng)今國(guó)際智能交通領(lǐng)域的前沿技術(shù)和研究熱點(diǎn)，對(duì)提高城市交通系統(tǒng)的安全性和通行效率具有十分重要的作用。本文從智能化主動(dòng)安全的角度，對(duì)未來時(shí)段城市道路交通姿態(tài)進(jìn)行預(yù)測(cè)，以期在城市道路發(fā)生擁擠之前，通過對(duì)交通姿態(tài)進(jìn)行調(diào)控，防交通擁擠于未然，從而保障城市道路交通的暢通，提升城市交通出行在市民心中的滿意度，增強(qiáng)交通用戶在城市出行中的良好體驗(yàn)。 本文基于車路協(xié)同的相關(guān)技術(shù)，通過選取交通流參數(shù)，并進(jìn)行參數(shù)預(yù)測(cè)，根據(jù)預(yù)測(cè)結(jié)果確定未來時(shí)段城市道路的交通姿態(tài)；通過對(duì)路段和路網(wǎng)擁擠的時(shí)空范圍進(jìn)行估計(jì)，提出針對(duì)不同交通姿態(tài)的具體調(diào)控措施。本文的研究?jī)?nèi)容包括以下五個(gè)方面： ①車路協(xié)同相關(guān)技術(shù) 在分析國(guó)內(nèi)外車路協(xié)同技術(shù)發(fā)展現(xiàn)狀的基礎(chǔ)上，給出了車路協(xié)同的內(nèi)涵；結(jié)合車路協(xié)同技術(shù)的典型應(yīng)用場(chǎng)景、發(fā)展趨勢(shì)、信息采集、信息交互以及信息處理平臺(tái)，提出了路側(cè)傳感器優(yōu)化布點(diǎn)模型；提出了建立云服務(wù)中心，為基于車路協(xié)同系統(tǒng)的交通姿態(tài)預(yù)警和擁擠的指揮調(diào)度創(chuàng)造了條件。 ②交通姿態(tài)的劃分及判別研究 提出了“交通姿態(tài)”，并解析了“交通姿態(tài)”的內(nèi)涵。提出從駕駛自由度的角度，將交通姿態(tài)劃分為流暢、大流量、阻塞三種類型，并對(duì)其進(jìn)行了分析。基于交通姿態(tài)的評(píng)價(jià)指標(biāo)，，給出了不同城市道路等級(jí)對(duì)應(yīng)不同交通姿態(tài)的指標(biāo)取值量表，建立了基于Vague復(fù)合物元的交通姿態(tài)判定模型。 ③結(jié)合遺傳算法的BP神經(jīng)網(wǎng)絡(luò)交通參數(shù)預(yù)測(cè)研究 通過對(duì)短時(shí)交通流預(yù)測(cè)方法的特點(diǎn)和適用性分析，提出將遺傳算法融入到BP神經(jīng)網(wǎng)絡(luò)模型，利用遺傳算法智能優(yōu)化BP神經(jīng)網(wǎng)絡(luò)模型的權(quán)值等參數(shù)，建立了結(jié)合遺傳算法的BP神經(jīng)網(wǎng)絡(luò)預(yù)測(cè)模型，并對(duì)預(yù)測(cè)效果進(jìn)行了評(píng)價(jià)分析。 ④路網(wǎng)交通擁擠時(shí)空擴(kuò)散范圍估計(jì)研究 基于車路協(xié)同技術(shù)和交通姿態(tài)預(yù)警，提出針對(duì)路段常發(fā)性交通擁擠時(shí)空擴(kuò)散范圍采用改進(jìn)后的N曲線進(jìn)行估計(jì)，對(duì)路段偶發(fā)性交通擁擠根據(jù)流量守恒方程和交通擁擠形成過程對(duì)時(shí)空擴(kuò)散范圍進(jìn)行估計(jì)；在分析路網(wǎng)交通擁擠擴(kuò)散規(guī)律的基礎(chǔ)上，估計(jì)了路網(wǎng)交通擁擠時(shí)空擴(kuò)散范圍。 ⑤車路協(xié)同系統(tǒng)交通姿態(tài)調(diào)控研究 分析了車路協(xié)同技術(shù)的多通道交通信息采集技術(shù)、信息交互技術(shù)、信息綜合處理技術(shù)在交通姿態(tài)調(diào)控中的應(yīng)用，提出了對(duì)交通姿態(tài)的調(diào)控思路。 本文應(yīng)用MATLAB對(duì)各算法進(jìn)行仿真實(shí)驗(yàn)，采用基于Vague復(fù)合物元模型對(duì)交通姿態(tài)判別，預(yù)測(cè)的交通姿態(tài)呈現(xiàn)阻塞時(shí)，給出了路網(wǎng)交通擁擠時(shí)空擴(kuò)散范圍的估計(jì)流程圖和具體實(shí)施步驟，并基于交通姿態(tài)調(diào)控基本理論，給出了交通姿態(tài)具體的調(diào)控措施（路口放行方法、路口流向禁限、組織單行交通、交通信號(hào)控制）。本文中涉及到的研究?jī)?nèi)容、研究方法和研究結(jié)論是對(duì)車路協(xié)同技術(shù)運(yùn)用到交通姿態(tài)預(yù)警和擁擠調(diào)控的一個(gè)探索，通過對(duì)仿真實(shí)驗(yàn)結(jié)果等的分析，論證了本文所提出算法、模型的正確性和適用性。
[Abstract]:Traffic congestion is a prominent problem of city traffic, likely to cause traffic accidents, many social problems of environmental pollution and energy consumption. The vehicle road coordination technology in the international field of intelligent transportation technology and research hotspot, is very important to improve the efficiency of city traffic safety and traffic rate of the system has a role. This article is based on the intelligent active safety the angle, carries on the forecast to the future time of city road traffic to posture, road congestion occurred in the city before, through the regulation of traffic congestion prevention attitude, preventive measures, in order to protect the city road traffic flow, improve city traffic in the hearts of the public satisfaction, enhance the traffic in the city of good user experience in travel.
The technology of vehicle road coordination based on traffic flow parameters by selecting, and the parameters were determined according to the traffic prediction, attitude next time the city road based on the prediction results; link and network congestion time estimation, put forward specific measures to control the attitude of different traffic. The research content of this paper includes the following five aspects:
Vehicle road coordination related technology
Based on the analysis of cooperative technology development status of domestic and foreign car on the road, gives the connotation of collaborative road vehicles; typical application scenarios, combined with collaborative road vehicle technology development trend, information collection, information exchange and information processing platform, puts forward the roadside optimal sensor placement model; proposed the establishment of cloud service center, to create the conditions for the the traffic warning system based on vehicle road attitude coordination and crowded dispatching.
Study on the division and discrimination of traffic posture
Put forward the "traffic profile", and analyzes the connotation of "traffic attitude". From the freedom of driving, traffic will pose is divided into smooth, large flow, blocking three types, and has carried on the analysis. The evaluation index of traffic based attitude, gives a different city road traffic levels corresponding to different attitude the index scale, a decision model of Vague composite element transportation attitude based on.
Study on traffic parameters prediction of BP neural network based on genetic algorithm
The flow prediction and analysis method of characteristics and applicability of short-term traffic, apply genetic algorithm into the BP neural network model, using BP neural network model of intelligent genetic algorithm to optimize the weights, to establish a prediction model of BP neural network combined with genetic algorithm, and the prediction results were evaluated.
Study on the estimation of space-time diffusion range of traffic congestion in road network
The vehicle road coordination technology and traffic warning based on attitude, proposed road recurrent traffic congestion space-time diffusion using N curve of the improved estimation of road nonrecurring traffic congestion and traffic congestion according to the conservation equation on formation of space-time diffusion range estimation; based on the analysis of traffic congestion propagation rule, estimation the traffic congestion time spread range.
Study on the control of traffic posture in vehicle road coordination system
This paper analyzes the application of multichannel traffic information collection technology, information interaction technology and information comprehensive processing technology in vehicle traffic attitude control, and puts forward a train of thought for traffic attitude control.
The simulation experiment on the algorithm using MATLAB, using the traffic pose discrimination Vague composite element model based on the prediction of traffic pose blocking, given road network traffic congestion space-time diffusion range estimates the flow chart and the specific implementation steps, and based on the basic theory of traffic attitude control, traffic control measures are given specific attitude (intersection clearance method, intersection flow restriction, one-way traffic organization, traffic signal control). This paper involves the research content, research method and conclusion of the road car collaboration technology is applied to traffic congestion warning and attitude regulation an exploration, based on the analysis of the simulation results, this paper demonstrates the the proposed algorithm, the correctness and applicability of the model.

【學(xué)位授予單位】：重慶交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U491

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本文編號(hào)：1452655