基于流線動態(tài)組合的十字交叉口優(yōu)化控制研究
發(fā)布時間：2018-12-08 08:17
【摘要】：隨著社會經(jīng)濟的快速發(fā)展,城市機動車保有量急劇增加。尤其是在大城市,由于城市道路網(wǎng)交通量不斷增多,路段及節(jié)點通行能力未充分利用,從而造成城市道路交通擁堵加劇。面對城市交通供需矛盾日益突出,挖掘已有路網(wǎng)的潛力,提高交通供給是交通管理的重要手段。近年來利用智能交通技術(shù),對交通網(wǎng)絡(luò)通行能力的提高起到了很大的作用。城市道路交通網(wǎng)絡(luò)中,交叉路口作為城市道路交通的主要集散點,是交通擁堵和交通事故的主要發(fā)生節(jié)點,合理利用好各單點交叉口的時空資源便成了緩解整個城市交通擁堵問題的基礎(chǔ)。而現(xiàn)有的單點交叉口信號管理方式中,大都采用的是單點定時及感應(yīng)信號控制,其在交叉口交通流線車流到達(dá)波動較大情況下,相位交通流線不能動態(tài)組合,且配時優(yōu)化方法不能隨交通流線的狀態(tài)變化而優(yōu)化。隨著車聯(lián)網(wǎng)、車路協(xié)同及交叉口數(shù)據(jù)采集技術(shù)的不斷發(fā)展與運用,能夠動態(tài)獲取交叉口各進口流線車輛到達(dá)參數(shù)。以此為基礎(chǔ),本文提出流線動態(tài)組合的優(yōu)化控制方法,分析交叉口各流線相容關(guān)系,以十字交叉口為研究對象,采用一種新的相容流線搜索方法,即將交通流線向量化并進行向量計算,能夠更加簡便、更加直觀的確定流線相容關(guān)系。接著應(yīng)用流線的邏輯運算確定可行相位集合,以相位綠燈損失最小為原則,得到周期最優(yōu)控制相位流線組合。最后,建立適應(yīng)交叉口流量流向動態(tài)變化的優(yōu)化配時模型,計算各相位的最優(yōu)配時,實現(xiàn)交叉口流線動態(tài)優(yōu)化控制效果。通過實例計算分析可知,在交叉口流線車輛到達(dá)隨時間顯著性變化的情況下,流線動態(tài)組合優(yōu)化控制相比定相位的控制方式具有延誤小,控制方案更靈活等優(yōu)點,能夠更好的與交通流線相協(xié)調(diào),進而提高交叉口的時空資源利用效率。
[Abstract]:With the rapid development of social economy, the number of urban motor vehicles has increased rapidly. Especially in large cities, due to the increasing traffic volume of urban road network, the traffic capacity of sections and nodes is not fully utilized, resulting in urban road traffic congestion aggravated. In the face of the increasingly prominent contradiction between supply and demand of urban traffic, it is an important means of traffic management to tap the potential of existing road network and improve traffic supply. In recent years, the use of intelligent transportation technology has played a great role in improving traffic network capacity. In the urban road traffic network, as the main distribution point of urban road traffic, intersection is the main node of traffic congestion and traffic accident. Making good use of the time and space resources of each single point intersection is the foundation to alleviate the traffic congestion problem. In the existing single point intersection signal management mode, most of them are single point timing and induction signal control. Moreover, the timing optimization method can not be optimized with the state of the traffic streamline. With the continuous development and application of vehicle networking, vehicle-road coordination and intersection data acquisition technology, the arrival parameters of each inlet streamline vehicle can be dynamically obtained. Based on this, this paper presents an optimal control method of dynamic combination of streamline lines, analyzes the compatibility relations of each streamline in intersection, takes the intersection as the research object, and adopts a new method of consistent streamline search. The traffic streamline vectorization and vector calculation can be more convenient and intuitive to determine the streamline compatibility relationship. Then the feasible phase set is determined by using the logic operation of the streamline line, and the phase optimal control phase streamline combination is obtained based on the principle of minimum phase green light loss. Finally, an optimal timing model adapted to the dynamic change of intersection flow direction is established, and the optimal timing of each phase is calculated to realize the dynamic optimal control effect of intersection streamline. Through the calculation and analysis of an example, it can be seen that when the arrival of streamline vehicles changes significantly with time at intersection, compared with the control mode with fixed phase, the optimized control method of streamline dynamic combination has the advantages of less delay and more flexible control scheme. It can better coordinate with the traffic streamline, and then improve the efficiency of space and time resources utilization of intersection.
【學(xué)位授予單位】：重慶交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U491.54
本文編號：2368024
[Abstract]:With the rapid development of social economy, the number of urban motor vehicles has increased rapidly. Especially in large cities, due to the increasing traffic volume of urban road network, the traffic capacity of sections and nodes is not fully utilized, resulting in urban road traffic congestion aggravated. In the face of the increasingly prominent contradiction between supply and demand of urban traffic, it is an important means of traffic management to tap the potential of existing road network and improve traffic supply. In recent years, the use of intelligent transportation technology has played a great role in improving traffic network capacity. In the urban road traffic network, as the main distribution point of urban road traffic, intersection is the main node of traffic congestion and traffic accident. Making good use of the time and space resources of each single point intersection is the foundation to alleviate the traffic congestion problem. In the existing single point intersection signal management mode, most of them are single point timing and induction signal control. Moreover, the timing optimization method can not be optimized with the state of the traffic streamline. With the continuous development and application of vehicle networking, vehicle-road coordination and intersection data acquisition technology, the arrival parameters of each inlet streamline vehicle can be dynamically obtained. Based on this, this paper presents an optimal control method of dynamic combination of streamline lines, analyzes the compatibility relations of each streamline in intersection, takes the intersection as the research object, and adopts a new method of consistent streamline search. The traffic streamline vectorization and vector calculation can be more convenient and intuitive to determine the streamline compatibility relationship. Then the feasible phase set is determined by using the logic operation of the streamline line, and the phase optimal control phase streamline combination is obtained based on the principle of minimum phase green light loss. Finally, an optimal timing model adapted to the dynamic change of intersection flow direction is established, and the optimal timing of each phase is calculated to realize the dynamic optimal control effect of intersection streamline. Through the calculation and analysis of an example, it can be seen that when the arrival of streamline vehicles changes significantly with time at intersection, compared with the control mode with fixed phase, the optimized control method of streamline dynamic combination has the advantages of less delay and more flexible control scheme. It can better coordinate with the traffic streamline, and then improve the efficiency of space and time resources utilization of intersection.
【學(xué)位授予單位】：重慶交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U491.54
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