本文選題：城市交通 + 跟馳模型�。� 參考：《交通運(yùn)輸系統(tǒng)工程與信息》2017年02期

【摘要】：為了探究車輛跟馳中車頭間距與速度的關(guān)系函數(shù),采用高精度車載GPS設(shè)備獲取了大量基于時(shí)間序列的車輛跟馳數(shù)據(jù),根據(jù)實(shí)測(cè)車頭間距—平均速度關(guān)系構(gòu)建了改進(jìn)的優(yōu)化速度函數(shù).對(duì)原優(yōu)化速度函數(shù)和改進(jìn)的優(yōu)化速度函數(shù)進(jìn)行了參數(shù)標(biāo)定,并對(duì)兩個(gè)函數(shù)進(jìn)行了微觀向宏觀交通參數(shù)的推導(dǎo),結(jié)果表明,改進(jìn)的優(yōu)化速度函數(shù)能更好地描述車輛跟馳中微觀和宏觀交通參數(shù)之間的關(guān)系.最后對(duì)基于兩種函數(shù)的全速度差跟馳模型進(jìn)行了數(shù)值模擬,結(jié)果表明,基于改進(jìn)的優(yōu)化速度函數(shù)的跟馳模型具有更好的穩(wěn)定性.
[Abstract]:In order to explore the relation function between the headway spacing and the speed in the vehicle following, a large number of vehicle car-following data based on time series are obtained by using the high-precision vehicle GPS equipment. An improved optimal velocity function is constructed according to the measured distance between the headstock and the average velocity. The parameters of the original optimized speed function and the improved optimized speed function are calibrated, and the microscopic and macroscopic traffic parameters are derived from the two functions. The results show that, The improved optimal speed function can better describe the relationship between the vehicle and the microscopic and macroscopic traffic parameters. Finally, the numerical simulation of the full velocity difference car-following model based on two kinds of functions is carried out. The results show that the car-following model based on the improved optimized velocity function has better stability.
【作者單位】： 哈爾濱工業(yè)大學(xué)交通科學(xué)與工程學(xué)院;深圳市城市交通規(guī)劃設(shè)計(jì)研究中心有限公司;
【分類號(hào)】：U491.255

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