本文選題：動態(tài)兩難區(qū) + 控制策略　； 參考：《山東理工大學(xué)》2015年碩士論文

【摘要】：兩難區(qū)域是在交叉口處既不能通過也不能停下的區(qū)域,一旦車輛陷入兩難區(qū),會出現(xiàn)既不能安全�？坑谕Ｖ咕�前又不能順利通過交叉口的窘境現(xiàn)象,該現(xiàn)象加大了車輛在交叉口處闖紅燈和追尾事件的發(fā)生概率,降低了道路交叉口的行駛安全性和通過效率。本文通過分析基于靜態(tài)兩難區(qū)模型的控制方法在解決實(shí)際兩難區(qū)問題上存在的不足,建立動態(tài)兩難區(qū)數(shù)學(xué)模型,分析三種不同狀態(tài)下的動態(tài)兩難區(qū)長度范圍,研究車輛車速、最大減速度、最大加速度、駕駛員反應(yīng)時間以及黃燈時間對動態(tài)兩難區(qū)長度的影響關(guān)系。根據(jù)分析出的兩難區(qū)車流量與車速、車速與兩難區(qū)黃燈時間的關(guān)系設(shè)置兩難區(qū)黃燈時間模糊規(guī)則,提出動態(tài)兩難區(qū)黃燈時間模糊控制策略,建立黃燈時間FIS編輯器,利用黃燈時間規(guī)則表和響應(yīng)表,對兩難區(qū)黃燈時間進(jìn)行模糊控制。結(jié)合動態(tài)兩難區(qū)模型和動態(tài)兩難區(qū)黃燈時間模糊控制策略,建立動態(tài)兩難區(qū)總體控制策略。根據(jù)提出的動態(tài)兩難區(qū)總體控制策略,利用智能交通和車路協(xié)同技術(shù),構(gòu)建動態(tài)兩難區(qū)車載預(yù)警和黃燈配時控制系統(tǒng)。最后,通過不同道路交叉口車流量的調(diào)查情況表對VISSIM仿真路網(wǎng)中的車輛類別、期望速度、加減速度、車流量進(jìn)行設(shè)置,并根據(jù)交叉口固定信號燈相位圖、配時表和模糊控制響應(yīng)表對VISSIM路網(wǎng)中的信號燈配時進(jìn)行更改,仿真得出車輛在通過有模糊控制黃燈時間和黃燈時間固定配時的交叉口時,其前者陷入兩難區(qū)的概率遠(yuǎn)小于后者陷入兩難區(qū)的概率。
[Abstract]:The dilemma area is the area which can neither pass nor stop at the intersection. Once the vehicle is caught in the dilemma area, there will be a dilemma that can not be safely parked in front of the stop line and can not pass through the intersection smoothly. This phenomenon increases the probability of the red light and rear-end events at the intersection, and reduces the safety and efficiency of the road intersection. By analyzing the deficiency of the control method based on static dilemmas model in solving the practical dilemmas, this paper establishes a mathematical model of dynamic dilemmas, analyzes the length range of dynamic dilemmas in three different states, and studies the vehicle speed. The effects of maximum deceleration, maximum acceleration, driver response time and yellow light time on the length of dynamic dilemmas. According to the analysis of the relationship between vehicle flow and speed, speed and yellow lamp time in dilemma area, the fuzzy rule of yellow lamp time in dilemma area is set up, and the fuzzy control strategy of yellow lamp time in dynamic dilemma area is put forward, and the FIS editor of yellow lamp time is established. Using the yellow lamp time rule table and the response table, the yellow lamp time in the dilemma area is controlled by fuzzy method. Combined with the dynamic dilemma model and the yellow lamp time fuzzy control strategy, the overall dynamic dilemma control strategy is established. According to the overall control strategy of dynamic dilemma area, the vehicle warning and yellow light timing control system in dynamic dilemma area is constructed by using intelligent traffic and vehicle-road cooperation technology. Finally, the vehicle types, expected speed, plus or minus speed, traffic flow in VISSIM simulation road network are set according to the phase diagram of the fixed signal light at the intersection according to the survey situation of traffic flow at different road intersections, and the vehicle categories, expected speed, plus or minus speed and traffic flow are set according to the VISSIM simulation road network. The timing of signal lights in the VISSIM network is changed by the timing table and the fuzzy control response table. The simulation results show that the vehicle passes through the intersection with the fixed timing of the fuzzy control yellow light and the yellow light. The probability of the former being caught in a dilemma is much less than that of the latter.
【學(xué)位授予單位】：山東理工大學(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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