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Under certain assumptions, values of travel time (VOT) can be divided into two parts: one associated with travel (i.e., the value of reducing travel time disutility) and the other associated with activities (the shadow price of time). The empirical results of combining RP and SP data showed that the VOT of travel was greater than that of activity. The results also showed that SP experiments that did not take or only took part of activities into consideration would underestimate VOT. 相似文献
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AlterationIntroductionThereisastrongini6ractionamongtemPetalrefield,strCssfield,andmicrosttuctutulaltOrationinm8terialsduringtheirhotworking[l'2].Especiallyduringthecoolingprocess,inwhichtemPeratorechangnsgreatly,intendionsbecomemorecomplexbecauseoftransformationoccurmnce.Duringthehotdeformation,thingswillaPpearsuchas:a.hotdeformation,relatedtostressfieId,changesessentiallytheshaPeofmaterialsandcausesthevariationofthecontactstatebetWeenthedieandsample,resultinginchangeofthethermalboundnyco… 相似文献
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道路系统中的人机混驾交通环境是指人工驾驶车辆与自动驾驶车辆混合运行的交通环境,其中换道行为建模是人机混驾环境下无人驾驶车辆行为研究的热点。基于深度学习理论,构建人机混驾环境下基于长短期记忆神经网络的无人驾驶车辆换道行为模型(Long-short-term-memory-based Autonomous Vehicles Lane Changing,LSTM-LC)。通过研究人工驾驶车辆在换道过程中与周边车辆的相互作用,对换道行为影响因素进行分析;同时,为了提升模型的迁移性,引入道路横向偏移量信息。结合LSTM神经网络的输入要求,使用美国公开交通数据集Next Generation SIMulation(NGSIM)构建换道行为样本库。针对LSTM-LC模型,以均方差MSE作为损失函数,使用RMSprop优化方法进行训练,对LSTM网络结构、历史序列长度N及训练样本量3个重要参数进行标定。最后,针对道路横向偏移量M对LSTM-LC模型性能的影响进行对比试验。研究结果表明:相比GRU-LC模型,LSTM-LC模型对换道行为的表征更准确,在模型的精度和迁移性上有着显著的提升;GRU-LC模型的均方差为4.64 m2,迁移性均方差为119.82 m2,而LSTM-LC模型的均方差为3.18 m2,迁移性均方差为79.58 m2,分别优化了31.5%和39.71%;通过引入道路横向偏移量M,可将LSTM-LC模型精度和迁移性提升约10%,且模型稳定性更强。 相似文献
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Santa Clara County, California experienced a sharp growth in demand‐responsive paratransit ridership for individuals with disabilities, as a result of the passage of the 1990 Americans With Disabilities Act (ADA). This paper describes an automated paratransit system for the ADA‐type paratransit operation implemented in Santa Clara County. It automated paratransit reservation, scheduling, and routing functions. The key components of this system were a digital geographic database (DGD) and an automated trip scheduling system (ATSS). Empirical evidence after one year of operation indicates numerous benefits of this automation. There were significant reductions in the paratransit operating costs and an increase in the percent shared rides. The savings in operating costs far exceeded the annualized capital cost of automation. A user survey indicates that these improvements were achieved without degradation to service quality such as vehicle on‐time performance, invehicle travel times, vehicle response to open return, and ride comfort. 相似文献
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This research is aimed at developing a model that maximizes system profit when determining the aircraft routes and flight frequencies in a network. The model employs network flow techniques to effectively collect or deliver passenger flows from all origins to all destinations using non‐stop and multi‐stop flights in multi‐fleet operations. The model was formulated as a multi‐commodity network flow problem. A Lagrangian‐based algorithm was developed to solve the problem. To test the model in practice, a case study is presented. 相似文献
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