考慮環(huán)境影響的可變限速控制研究
發(fā)布時間:2018-09-08 13:55
【摘要】:本文提出了一種考慮環(huán)境影響下的高速公路可變限速控制方案的優(yōu)化方法。其中方案評價模型包含幾個子模型,分別為交通流仿真模型、車輛尾氣排放量計算模型和排放物擴散模型。通過細胞傳遞模型,得到下一步模型需要的交通流數(shù)據(jù),然后通過交通流數(shù)據(jù)判斷車輛行駛狀態(tài),得出每輛車在每個時間步長內(nèi)的排放值。接著利用高斯煙羽模型來模擬排放物擴散的過程,計算路側(cè)排放物濃度。然后利用基于人口密度的相對排放物濃度來量化對環(huán)境的負面影響,由此評價一個方案的好壞。 方案的最優(yōu)化采用基于細胞傳遞模型仿真的遺傳算法。首先確定染色體的結(jié)構(gòu),然后通過選擇,選出具有優(yōu)良基因的父代,接著經(jīng)過染色體交叉和變異生成子代,子代中的方案需要經(jīng)過篩選、修正或淘汰,再進入評價模型來判斷每個方案的適應度值,從而確定每個子代被選為下一代父代的概率。 最后通過若干算例分析來驗證整個模型。
[Abstract]:In this paper, an optimization method of variable speed limit control scheme for freeway considering the influence of environment is proposed. The scheme evaluation model includes several sub-models, which are traffic flow simulation model, vehicle exhaust emission calculation model and emission diffusion model. Through the cell transfer model, the traffic flow data needed by the next model are obtained, and then the vehicle driving state is judged by the traffic flow data, and the emission value of each vehicle within each time step is obtained. Then, Gao Si smoke plume model was used to simulate the emission diffusion process and to calculate the roadside emission concentration. Then the relative emission concentration based on population density is used to quantify the negative impact on the environment and evaluate the effectiveness of a scheme. Genetic algorithm based on cell transfer model is used to optimize the scheme. The structure of the chromosomes is determined first, and then the parent generations with good genes are selected by selection, and then the offspring is generated by chromosome crossover and variation. The schemes in the offspring need to be screened, modified or eliminated. Then the evaluation model is used to judge the fitness of each scheme, and the probability of each offspring being selected as the next generation parent is determined. Finally, the whole model is verified by several examples.
【學位授予單位】:大連理工大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:U491
[Abstract]:In this paper, an optimization method of variable speed limit control scheme for freeway considering the influence of environment is proposed. The scheme evaluation model includes several sub-models, which are traffic flow simulation model, vehicle exhaust emission calculation model and emission diffusion model. Through the cell transfer model, the traffic flow data needed by the next model are obtained, and then the vehicle driving state is judged by the traffic flow data, and the emission value of each vehicle within each time step is obtained. Then, Gao Si smoke plume model was used to simulate the emission diffusion process and to calculate the roadside emission concentration. Then the relative emission concentration based on population density is used to quantify the negative impact on the environment and evaluate the effectiveness of a scheme. Genetic algorithm based on cell transfer model is used to optimize the scheme. The structure of the chromosomes is determined first, and then the parent generations with good genes are selected by selection, and then the offspring is generated by chromosome crossover and variation. The schemes in the offspring need to be screened, modified or eliminated. Then the evaluation model is used to judge the fitness of each scheme, and the probability of each offspring being selected as the next generation parent is determined. Finally, the whole model is verified by several examples.
【學位授予單位】:大連理工大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:U491
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