本文選題：交通疏導方法　切入點：事故路段　出處：《長安大學》2015年碩士論文

【摘要】：當高速公路有交通事故發(fā)生時,怎樣進行科學高效的決策,對事故路段的車輛進行有序的疏導,最大限度的降低車輛的延誤,已成為高速公路運營管理部門亟需解決的關鍵問題�，F(xiàn)有的交通疏導方式主要是通過可變情報板、交通廣播等信息發(fā)布設施向車輛發(fā)布誘導信息,或是路政交警等人員對事故現(xiàn)場的車輛進行疏導,但是這些方法無論是從覆蓋率或效率等方面來說,都有一定的局限性。論文針對現(xiàn)有的高速公路事故路段交通疏導方法的不足,在現(xiàn)有的智能手機及3G/4G網絡的迅速發(fā)展與廣泛普及的基礎上,結合事故信息、路段基本信息、路網拓撲結構信息、歷史交通流數(shù)據(jù)信息以及實時的交通流信息及通行能力等,提出一種新型的基于點對點導航的高速公路事故路段交通疏導方法。基于點對點導航的高速公路事故路段交通疏導方法以手機APP/車載GPS導航為載體,將針對事故的交通疏導策略點對點的發(fā)布給事故路段的車輛,實現(xiàn)對車輛點對點的指揮。論文分析了不同類型車輛的轉彎半徑、排隊長度、車型比例、實時通行能力及實時交通流量對疏導策略的影響,應急調度指揮中心針對不同的事故信息,生成相應的的疏導策略,發(fā)布給受事故影響的車輛。基于點對點導航的高速公路事故路段交通疏導方法以車輛的延誤時間最小為原則,同時考慮了駕駛員的心理因素,做到兼顧公平性,分析了事故造成道路阻斷情況下車輛的疏導模型,并制定不同模型下的疏導策略,最終進行比選,選出最優(yōu)的交通疏導策略。論文的特色是智能化的疏導方法替代現(xiàn)有的疏導方法�；邳c對點導航的交通疏導方案由計算機確定,綜合考慮各種因素,做出最優(yōu)的交通疏導策略,模塊化有序的疏導車輛,減少車輛之間無序狀態(tài)下的沖突,降低時間延誤,更加智能化,且策略的生成由計算機后臺運行完成,更加高效;對于車輛運行時間的計算或交通警戒設備的計算更加精細,準確性高。
[Abstract]:When there are traffic accidents on the freeway, how to make scientific and efficient decision, how to arrange the vehicles in the accident section in order to minimize the delay of the vehicles, It has become a key problem that the highway operation management department urgently needs to solve. The existing traffic dredging methods mainly through the variable information board, traffic broadcasting and other information distribution facilities to vehicles to release guidance information, Or road traffic police and other personnel to carry out the vehicles at the scene of the accident, but these methods are no matter in terms of coverage or efficiency. The thesis aims at the deficiency of the existing methods of freeway traffic diversion, based on the rapid development and popularization of the existing smart phone and 3G/4G network, combines the accident information, the road section basic information, Network topology information, historical traffic flow data information, real-time traffic flow information and traffic capacity, etc. In this paper, a new method of freeway traffic diversion based on point-to-point navigation is proposed. The method based on point-to-point navigation is based on mobile phone APP/ vehicle-borne GPS navigation. The point-to-point traffic diversion strategy for the accident is issued to the vehicle in the accident section, and the vehicle point-to-point command is realized. The turning radius, queue length and vehicle model ratio of different types of vehicles are analyzed in this paper. The influence of real time traffic capacity and real time traffic flow on the dredging strategy. The emergency dispatch command center generates the corresponding dredging strategy according to different accident information. Based on point-to-point navigation, the traffic diversion method of highway accident sections is based on the principle of minimum delay time of vehicles, and the psychological factors of drivers are taken into account, so that fairness can be taken into account. This paper analyzes the vehicle grooming model under the condition of road blocking caused by accident, and formulates the grooming strategy under different models, and finally makes comparison and selection. The characteristic of this paper is that the intelligent grooming method replaces the existing grooming method. The traffic grooming scheme based on point-to-point navigation is determined by the computer and all kinds of factors are considered synthetically. Making the optimal traffic diversion strategy, modularizing orderly grooming vehicle, reducing the conflict under the disorder state between the vehicles, reducing the time delay, more intelligent, and the generation of the strategy is completed by the computer backstage operation, more efficient; The calculation of vehicle running time or traffic warning equipment is more precise and accurate.
【學位授予單位】：長安大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U495

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1 黃衛(wèi)東;張慧彬;夏新法;;關于高速公路事故搶險救援的探討[J];科技信息;2011年29期

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本文編號：1690326