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171.
Choices of travel mode and trip chain as well as their interplays have long drawn the interests of researchers. However, few studies have examined the differences in the travel behaviors between holidays and weekdays. This paper compares the choice of travel mode and trip chain between holidays and weekdays tours using travel survey data from Beijing, China. Nested Logit (NL) models with alternative nesting structures are estimated to analyze the decision process of travelers. Results show that there are at least three differences between commuting-based tours on weekdays and non-commuting tours on holidays. First, the decision structures in weekday and holiday tours are opposite. In weekday tours people prefer to decide on trip chain pattern prior to choosing travel mode, whereas in holiday tours travel mode is chosen first. Second, holiday tours show stronger dependency on cars than weekday tours. Third, travelers on holidays are more sensitive to changes in tour time than to the changes in tour cost, while commuters on weekdays are more sensitive to tour cost. Findings are helpful for improving travel activity modeling and designing differential transportation system management strategies for weekdays and holidays.  相似文献   
172.
This paper develops an agent-based modeling approach to predict multi-step ahead experienced travel times using real-time and historical spatiotemporal traffic data. At the microscopic level, each agent represents an expert in a decision-making system. Each expert predicts the travel time for each time interval according to experiences from a historical dataset. A set of agent interactions is developed to preserve agents that correspond to traffic patterns similar to the real-time measurements and replace invalid agents or agents associated with negligible weights with new agents. Consequently, the aggregation of each agent’s recommendation (predicted travel time with associated weight) provides a macroscopic level of output, namely the predicted travel time distribution. Probe vehicle data from a 95-mile freeway stretch along I-64 and I-264 are used to test different predictors. The results show that the agent-based modeling approach produces the least prediction error compared to other state-of-the-practice and state-of-the-art methods (instantaneous travel time, historical average and k-nearest neighbor), and maintains less than a 9% prediction error for trip departures up to 60 min into the future for a two-hour trip. Moreover, the confidence boundaries of the predicted travel times demonstrate that the proposed approach also provides high accuracy in predicting travel time confidence intervals. Finally, the proposed approach does not require offline training thus making it easily transferable to other locations and the fast algorithm computation allows the proposed approach to be implemented in real-time applications in Traffic Management Centers.  相似文献   
173.
Travel time functions specify the relationship between the travel time on a road and the volume of traffic on the road. Until recently, the parameters of travel time functions were rarely estimated in practice; however, a compelling case can be made for the empirical examination of these functions. This paper reviews, and qualitatively evaluates, a range of options for developing a set of travel time functions. A hierarchy of travel time functions is defined based on four levels of network detail: area, corridor, route and link. This hierarchy is illustrated by considering the development of travel time functions for Adelaide. Alternative sources of data for estimating travel time functions are identified.

In general, the costs and benefits increase as the travel time functions are estimated at finer levels of network detail. The costs of developing travel time functions include data acquisition costs and analysis costs. The benefits include the potential for reducing prediction errors, the degree of application flexibility and the policy sensitivity of the travel time functions.  相似文献   
174.
The objective of this study is to analyse the diurnal rhythms of city life and its spatial differences in Tallinn, using mobile telephone positioning data. The positioning experiment was carried out in April 2006 over an 8-day period and 15-min intervals, with a random sample of 277 respondents living in new residential areas outside the city of Tallinn.The investigation of the space–time movements and daily distances of respondents showed that the majority of respondents had a similar temporal rhythm related to work, school, services and leisure in the city. Because of the different timing of those activities, the mobile positioning data made it possible to map functional differences in the city. The advantages and disadvantages of mobile positioning data in mapping urban life are discussed in the final section of the study.  相似文献   
175.
基于汽车内饰品质感的感知模态进行研究,首先分析汽车内饰品质感,然后阐述汽车内饰品质感的感知模态差异实验,其主要内容有:样本挑选、实验方法和实验结果等,最后分析汽车内饰品质感与感知模态的关系,希望能为相关人士提供些许参考意见。  相似文献   
176.
石波  刘悦 《汽车实用技术》2020,(2):109-110,113
文章设计一种主动悬架控制策略,通过建立四分之一车辆主动悬架系统模型,设计模糊滑模控制策略对主动悬架系统进行控制,并使用Matlab/Simulink软件对所建立的模型进行仿真分析。通过仿真结果验证了所建模型和控制策略的准确性,同时也改善了悬架系统的性能。  相似文献   
177.
电动助力转向系统滑模变控制技术研究   总被引:1,自引:0,他引:1  
以电动助力转向系统中直流助力电机的控制器为研究对象,依据助力电机的数学模型,应用带观测器补偿的滑模变结构控制方法,设计了滑模变控制器,通过调节助力电机的电压,获得预期的输出电流。仿真结果表明,所设计的滑模变控制器使助力电机具有很好的动态性能,系统基本无抖动现象,实现了助力电机输出电流对目标电流的跟踪特性。  相似文献   
178.
为提高城市重型环卫货车的NOx排放测算精度,本文提出一个基于工况分布的重型环卫货车NOx排放模型.首先,根据基于实测逐秒速度数据分析的环卫重型货车工况特征和 NOx排放特性对不同负载货车的 VSP区间进行划分;其次,结合货车瞬时速度建立不同负载的环卫重型货车运行模式区间划分方法,并对不同负载货车NOx排放因子进行测算.结果显示,空载货车在速度区间[0, 20) km/h 上,NOx排放因子大于满载,其他速度区间上相反.与基于 MOVES模型测算结果对比,在不同速度区间上,基于 MOVES的测算结果均比本文提出模型的测算结果偏低,如在低速区间[0,20) km/h,中速区间[20,50) km/h,高速区间[50,+∞) km/h:空载行驶时,分别低24.67%、6.82%和23.81%;满载行驶时,分别低12.38%、18.81%和26.43%.  相似文献   
179.
阐述温福客专铁路现行区间信号设备维修作业组织方式及所遇到的困难,通过比较说明使用轨道车进行区间信号设备检修作业的优越性;提出电务共用工务轨道车的3种方案并进行优劣性比较探讨。  相似文献   
180.
高速铁路的建设和发展对提高客货运输能力起到重要作用,此文在分析国内外高速铁路建设与运营组织模式的基础上,总结归纳其建设与运营组织模式的类别及其选择规律,为我国高速铁路的发展、建设、运营组织模式的选择提供参考依据.  相似文献   
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