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能耗優(yōu)先的交叉口車速引導(dǎo)系統(tǒng)研究與實(shí)現(xiàn)

發(fā)布時(shí)間:2018-06-19 07:53

  本文選題:車速引導(dǎo) + 車路協(xié)同; 參考:《長(zhǎng)安大學(xué)》2017年碩士論文


【摘要】:隨著環(huán)境污染問(wèn)題的日益嚴(yán)重,以車路協(xié)同技術(shù)為基礎(chǔ)進(jìn)行經(jīng)濟(jì)駕駛行為及控制系統(tǒng)的研究已經(jīng)成為現(xiàn)代智能交通系統(tǒng)中的一個(gè)研究熱點(diǎn)。交叉口作為車流的集散交會(huì)處,頻繁的車輛加減速變換以及啟停行為,造成了機(jī)動(dòng)車不必要的能源消耗和污染物排放。本文基于車路協(xié)同技術(shù),對(duì)交叉口通行預(yù)判模型和車速引導(dǎo)方法進(jìn)行研究,并設(shè)計(jì)實(shí)現(xiàn)了一種能耗優(yōu)先的交叉口車速引導(dǎo)系統(tǒng)。論文主要工作如下:首先,對(duì)交叉口場(chǎng)景下的車輛通行及節(jié)能駕駛行為控制需求進(jìn)行分析,并在對(duì)車路協(xié)同環(huán)境下的信息感知交互方式研究的基礎(chǔ)上,提出了節(jié)能車速引導(dǎo)系統(tǒng)的結(jié)構(gòu)設(shè)計(jì)。其次,通過(guò)基于行駛功率需求的油耗模型研究油耗與車速之間的關(guān)系,針對(duì)經(jīng)驗(yàn)型節(jié)能駕駛行為在交叉口擾動(dòng)環(huán)境下對(duì)通行判斷的模糊性及決策的非經(jīng)濟(jì)性問(wèn)題,設(shè)計(jì)一種基于時(shí)空約束的通行預(yù)判模型;對(duì)不同通行預(yù)判下的節(jié)能車速引導(dǎo)方法進(jìn)行研究,并利用三角函數(shù)對(duì)加速及減速引導(dǎo)中加速度不連續(xù)的問(wèn)題進(jìn)行優(yōu)化,有效地平滑了車速引導(dǎo)曲線,得到了多工況下的交叉口節(jié)能行為策略。然后,在上述研究的基礎(chǔ)上,設(shè)計(jì)并開發(fā)集OBD車輛信息采集、DSRC交叉口信息傳輸和Android車載終端軟件為一體的能耗優(yōu)先的交叉口車速引導(dǎo)原型系統(tǒng)。最后,構(gòu)建了車路協(xié)同下的交叉口測(cè)試場(chǎng)景,對(duì)系統(tǒng)進(jìn)行模塊與整體功能測(cè)試,并對(duì)本文設(shè)計(jì)的通行預(yù)判模型與節(jié)能車速引導(dǎo)方法進(jìn)行測(cè)試分析。測(cè)試結(jié)果表明:在不同車速下,車速引導(dǎo)系統(tǒng)可以根據(jù)車路信息有效地為駕駛員提供交叉口車速引導(dǎo)服務(wù)。本文設(shè)計(jì)的通行預(yù)判模型可以準(zhǔn)確地為駕駛員提供通行決策,車速引導(dǎo)方法在非加速臨界條件下可以有效地為駕駛員提供動(dòng)態(tài)車速建議,相對(duì)于自然駕駛情況下的車輛行為,通過(guò)車速引導(dǎo)可以有效減少車輛通過(guò)交叉口處的油耗。
[Abstract]:With the increasingly serious problem of environmental pollution, the research of economic driving behavior and control system based on vehicle-road coordination technology has become a research hotspot in modern intelligent transportation system. Intersection as the intersection of traffic flow, frequent acceleration and deceleration of vehicles, as well as start and stop behavior, resulting in unnecessary vehicle energy consumption and pollutant emissions. Based on the technology of vehicle-road coordination, this paper studies the traffic prediction model and speed guidance method at intersections, and designs and implements a speed guidance system for intersections with priority of energy consumption. The main work of this paper is as follows: firstly, the requirements of vehicle traffic and energy saving driving behavior control in intersection scene are analyzed, and the information perception interaction mode in vehicle-road collaborative environment is studied. The structure design of energy saving speed guidance system is presented. Secondly, based on the fuel consumption model of driving power demand, the relationship between fuel consumption and speed is studied, aiming at the fuzziness of empirical energy-saving driving behavior and the non-economic problem of decision making under the disturbance environment of intersection. A traffic prediction model based on space-time constraints is designed, and the energy saving speed guidance method under different traffic prediction is studied, and the acceleration discontinuity in acceleration and deceleration guidance is optimized by trigonometric function. The speed guidance curve is smoothed effectively, and the energy saving behavior strategy of intersection is obtained under multiple working conditions. Then, on the basis of the above research, we design and develop a prototype system of energy consumption priority intersection speed guidance which integrates OBD vehicle information acquisition and Android vehicle terminal software. Finally, the test scene of intersection under the coordination of vehicle and road is constructed, the module and the whole function of the system are tested, and the model of traffic prediction and the method of energy saving speed guidance designed in this paper are tested and analyzed. The test results show that the speed guidance system can effectively provide the speed guidance service for the driver at the intersection according to the road information under different speed. The traffic prediction model designed in this paper can accurately provide the driver with traffic decision, and the speed guidance method can effectively provide the driver with dynamic speed advice under the condition of non-acceleration critical condition, compared with the vehicle behavior under the natural driving condition. Speed guidance can effectively reduce fuel consumption at intersections.
【學(xué)位授予單位】:長(zhǎng)安大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:U491

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