基于駕駛?cè)诵袨樘匦缘牡缆方煌〒砣葑円?guī)律研究
發(fā)布時間：2018-06-23 18:57
本文選題：駕駛?cè)?/strong> + 行為特性��； 參考：《昆明理工大學(xué)》2014年碩士論文
【摘要】：隨著汽車保有量的迅速增長,交通擁塞問題日益加劇,極大的影響了駕駛安全和運(yùn)行效率。國內(nèi)外學(xué)者較多著眼于交通擁塞對某方面駕駛?cè)诵袨樘匦?如針對操作行為特性、視覺特性或生理心理特性)影響的研究,以尋求道路交通資源與車輛運(yùn)行之間的博弈平衡,而忽略了駕駛?cè)诵袨樘匦詫煌〒砣葑冞^程影響研究。 本文從駕駛?cè)诵袨樘匦詫煌〒砣葑冞^程的影響這一新視角出發(fā),結(jié)合駕駛?cè)笋{駛行為特性,分別從駕駛?cè)艘曈X特性、生理心理特性、操作行為特性、道路交通擁塞空間分布情況、路段交叉口實地調(diào)查等方面,系統(tǒng)性的分析了駕駛?cè)诵袨樘匦耘c交通擁塞的交互作用關(guān)系與基于駕駛?cè)诵袨樘匦越煌〒砣c宏觀分布,構(gòu)建了基于駕駛?cè)诵袨樘匦越煌〒砣B(tài)擴(kuò)散模型等,研究了基于駕駛?cè)诵袨樘匦缘牡缆方煌〒砣刂品椒�。采用定性分析與定量研究、數(shù)理建模與微觀研究到宏觀分析等相結(jié)合研究方法和“測試分析—交互研究—理論建模—方法探討—推廣應(yīng)用”的技術(shù)路線,最終完成本篇論文。 本篇論文主要完成了以下工作： (1)完成了道路交通擁塞情況下的駕駛?cè)艘曈X特性分析與駕駛?cè)松硇睦硖匦苑治�。根�?jù)已有數(shù)據(jù)對駕駛?cè)艘曈X特性的數(shù)據(jù)深入進(jìn)行了相關(guān)分析,分析了有關(guān)視覺特性指標(biāo)(注視指標(biāo)、掃視指標(biāo)、眨眼指標(biāo)等)、生理心理特性指標(biāo)(腦電波指標(biāo)、呼吸指標(biāo)、血容量指標(biāo)、心率指標(biāo)等)。得到了不同道路交通擁塞狀況下的各個指標(biāo)的變化趨勢圖,在一定程度上,為研究如何通過這些指標(biāo)的調(diào)整來達(dá)到緩解交通擁塞的問題起到了很好的鋪墊作用。 (2)通過對昆明市道路交通擁塞情況下的駕駛?cè)瞬僮魈匦赃M(jìn)行錄像,提取了有關(guān)數(shù)據(jù),分析了有關(guān)操作特性指標(biāo)(方向盤角度指標(biāo)、剎車次數(shù)指標(biāo)、油門踏板角度指標(biāo)、踩離合器次數(shù)指標(biāo)等)。主要通過分析駕駛?cè)瞬僮魈匦缘闹饕笜?biāo)在交通擁塞環(huán)境下發(fā)生的變化,從而分析其對交通擁塞演變以及二次交通擁塞產(chǎn)生的影響,從而得到由于不良駕駛?cè)瞬僮餍袨?對交通擁塞演變過程的貢獻(xiàn)情況。 (3)對昆明的主干路網(wǎng)進(jìn)行了有關(guān)交通擁塞空間分布的數(shù)據(jù)采集,主要通過百度地圖實時路況分析功能,選取節(jié)假日、工作日12小時的數(shù)據(jù)采集,對相關(guān)道路交通擁塞情況進(jìn)行觀察、分析,從而得到道路交通擁塞的空間分布。以此來分析,由于路況信息實時發(fā)布,對駕駛?cè)寺窂竭x擇行為造成的影響,而因此分析由于駕駛?cè)寺窂竭x擇行為對其它路段可能產(chǎn)生交通擁塞的潛在因素,尤其是高峰小時出現(xiàn)多數(shù)路段普遍性交通擁塞的至因分析。 (4)通過周期性交通擁塞高峰小時移動車調(diào)查、交通擁塞路段調(diào)查、交通擁塞交叉口調(diào)查的方法,分析了道路交通擁塞時間分布數(shù)據(jù)采集與微觀交通流特性的關(guān)系。 (5)根據(jù)駕駛?cè)艘曈X特性、心理生理特性、操作行為和交通擁塞之間的關(guān)系以及其他方面,給出了基于駕駛?cè)诵袨樘匦缘牡缆方煌〒砣A(yù)防及其控制方法,并提出了道路交通擁塞環(huán)境駕駛行為規(guī)范建議。
[Abstract]:With the rapid growth of car ownership, traffic congestion is becoming more and more serious, which greatly affects driving safety and efficiency. Many scholars at home and abroad focus on the influence of traffic congestion on the behavior characteristics of a certain driver (such as operating behavior, visual characteristics or physiological and psychological characteristics) in order to seek road traffic resources and The game balance between vehicle operation is ignored, and the influence of driver's behavior characteristics on the evolution process of traffic congestion is neglected.
From the new angle of view of the influence of driver's behavior characteristics on the evolution of traffic congestion, this paper systematically analyzes driver's behavior in aspects of driver's visual characteristics, physiological and psychological characteristics, operational behavior characteristics, traffic congestion of road traffic, and intersection field investigation. For the interaction relationship between characteristics and traffic congestion and the macro distribution of traffic congestion points based on driver behavior, a traffic congestion model based on driver behavior characteristics is constructed, and the road congestion control method based on the behavior of driver is studied. Qualitative analysis and quantitative research, mathematical modeling and microcosmic analysis are adopted. The methods of combining macro analysis and the technical route of "test and analysis - Interactive Research - theoretical modeling approach - popularization and application" are studied and the final thesis is completed.
The main work of this paper is as follows:
(1) the driver's visual characteristics and the driver's physiological and psychological characteristics are analyzed in the case of road traffic congestion. According to the data of the driver's visual characteristics, the relative analysis of the driver's visual characteristics is carried out, and the related visual characteristics (fixation index, saccade index, blinking index, etc.), physiological and psychological characteristics (brain wave finger) are analyzed. Standard, respiratory index, blood volume index, heart rate index and so on. The change trend map of various indexes under different traffic congestion conditions has been obtained. To a certain extent, it has played a very good paving effect for the study of how to alleviate traffic congestion through the adjustment of these indexes.
(2) through video recording of driver's operating characteristics under the traffic congestion of Kunming City, the relevant data are extracted, and the related operating characteristics (steering wheel angle index, brake frequency index, throttle pedal angle index, frequency index of stepping clutch, etc.) are analyzed. The main indexes of the driver's operating characteristics are mainly through the traffic analysis. The changes in the congestion environment and the influence of the traffic congestion and the two traffic congestion are analyzed, and the contribution of the bad driver to the process of traffic congestion is obtained.
(3) the spatial distribution of traffic congestion in the main road network of Kunming was collected, mainly through the analysis function of real-time road condition of Baidu map, selected holidays and 12 hours data collection of working day, observed and analyzed the traffic congestion of the related road, thus obtained the spatial distribution of road traffic congestion. The impact of road condition information on the driver's path selection is analyzed, and the potential factors that may cause traffic congestion in other sections due to driver path selection are analyzed, especially in the peak hours.
(4) the relationship between the data collection of the traffic congestion time distribution and the characteristics of the microscopic traffic flow is analyzed through the investigation of the periodic traffic congestion peak hour mobile vehicle, the traffic congestion section investigation and the method of traffic congestion intersection investigation.
(5) according to the driver's visual characteristics, psychological and physiological characteristics, the relationship between operational behavior and traffic congestion and other aspects, the road traffic congestion prevention and control method based on the driver's behavior characteristics are given, and the suggestion of road traffic congestion environmental driving behavior is proposed.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491.265
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 劉江;田萍;榮建;任福田;;駕駛員氣質(zhì)與行車速度關(guān)系的初步研究[J];北京工業(yè)大學(xué)學(xué)報;2006年01期
2 金治富;翟潤平;;過飽和交叉口的動態(tài)最優(yōu)控制策略[J];道路交通與安全;2006年03期
3 談曉潔,周晶,盛昭瀚;城市交通擁擠特征及疏導(dǎo)決策分析[J];管理工程學(xué)報;2003年01期
4 王榮本,郭克友,儲江偉,初秀民;適用駕駛員疲勞狀態(tài)監(jiān)測的人眼定位方法研究[J];公路交通科技;2003年05期
5 王振強(qiáng);城市交通擁堵問題及其解決途徑[J];甘肅科技;2002年10期
6 崔西奎;孫林輝;宋云峰;;路寬對駕駛行為及司機(jī)負(fù)荷的影響[J];邯鄲職業(yè)技術(shù)學(xué)院學(xué)報;2008年01期
7 李靜,范炳全;基于駕駛員反應(yīng)行為的誘導(dǎo)博弈分析[J];上海理工大學(xué)學(xué)報;2003年04期
8 裴玉龍;蔣賢才;;飽和交通狀態(tài)下的綠信比優(yōu)化及其應(yīng)用研究[J];哈爾濱工業(yè)大學(xué)學(xué)報;2005年11期
9 李蘭冰;我國城市交通擁擠的成因及其對策研究[J];理論學(xué)刊;2005年06期
10 馬全亮;黃康;;關(guān)于疲勞駕駛行為的研究和建模[J];微計算機(jī)信息;2007年22期
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