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This paper investigates the effects of the provision of traffic information on toll road usage based on a stated preference survey conducted in central Texas. Although many researchers have studied congestion pricing and traffic information dissemination extensively, most of them focused on the effects that these instruments individually produce on transportation system performance. Few studies have been conducted to elaborate on the impacts of traffic information dissemination on toll road utilization. In this study, 716 individuals completed a survey to measure representative public opinions and preferences for toll road usage in support of various traffic information dissemination classified by different modes, contents, and timeliness categories. A nested logit model was developed and estimated to identify the significant attributes of traffic information dissemination, traveler commuting patterns, routing behavior, and demographic characteristics, and analyze their impacts on toll road utilization. The results revealed that the travelers using dynamic message sign systems as their primary mode of receiving traffic information are more likely to choose toll roads. The potential toll road users also indicated their desire to obtain traffic information via internet. Information regarding accident locations, road hazard warnings, and congested roads is frequently sought by travelers. Furthermore, high-quality congested road information dissemination can significantly enhance travelers’ preferences of toll road usage. Specifically the study found that travelers anticipated an average travel time saving of about 11.3 min from better information; this is about 30 % of travelers’ average one-way commuting time. The mean value of the time savings was found to be about $11.82 per hour, close to ½ of the average Austin wage rate. The model specifications and result analyses provide in-depth insights in interpreting travelers’ behavioral tendencies of toll road utilization in support of traffic information. The results are also helpful to shape and develop future transportation toll system and transportation policy. 相似文献
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Effective prediction of bus arrival times is important to advanced traveler information systems (ATIS). Here a hybrid model, based on support vector machine (SVM) and Kalman filtering technique, is presented to predict bus arrival times. In the model, the SVM model predicts the baseline travel times on the basic of historical trips occurring data at given time‐of‐day, weather conditions, route segment, the travel times on the current segment, and the latest travel times on the predicted segment; the Kalman filtering‐based dynamic algorithm uses the latest bus arrival information, together with estimated baseline travel times, to predict arrival times at the next point. The predicted bus arrival times are examined by data of bus no. 7 in a satellite town of Dalian in China. Results show that the hybrid model proposed in this paper is feasible and applicable in bus arrival time forecasting area, and generally provides better performance than artificial neural network (ANN)–based methods. Copyright © 2010 John Wiley & Sons, Ltd. 相似文献
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下穿既有公路的土江冲隧道双层管棚设计及监测分析 总被引:1,自引:0,他引:1
位于常—吉高速公路上的土江冲隧道是一座下穿既有公路的四车道连拱隧道,施工中为了控制地面沉降,在洞口段采用双层管棚作为辅助施工方法,保证了隧道施工安全和319国道的畅通;在隧道开挖过程中,掌子面附近的管棚变形最大,隧道开挖纵向影响范围为1.5~2.0倍开挖高度。文章介绍了管棚设计、施工情况和监测结果。 相似文献
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素质教育背景下,技工院校的人才培养不仅要具备较高的职业综合素养、专业技能知识储备与技能实践能力,还需要具备较高的人才市场核心竞争力与岗位适应能力.但就目前我国技工院校的新能源汽车专业课程教学现状来看,还存在很多教学问题,需要改变传统的教学形式与教学观念,积极探索顺应时代发展的专业技能人才培养模式,才能够有效满足企业对新... 相似文献
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