报告从行业事件分析、政策环境、市场环境、旅游交通、国际环境等相关行业数据方面进行了分析评论。

关键词：政策环境；市场环境；旅游交通；国际环境

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报告从行业事件分析、政策环境、经济环境、产业链环境、国际环境、储运、快递、第三方物流、物流金融以及相关行业数据方面对物流行业进行了分析评论。

关键词：物流；储运；快递；第三方物流；物流金融；竞争环境；行业数据

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报告从行业事件分析、政策环境、市场环境、旅游交通、国际环境等相关行业数据方面进行了分析评论。

关键词：政策环境；市场环境；旅游交通；国际环境

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报告从行业事件分析、政策环境、市场环境、旅游交通、国际环境等相关行业数据方面进行了分析评论。

关键词：政策环境；市场环境；旅游交通；国际环境

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报告从行业事件分析、政策环境、经济环境、产业链环境、国际环境、储运、快递、第三方物流、物流金融以及相关行业数据方面对物流行业进行了分析评论。

关键词：物流；储运；快递；第三方物流；物流金融；竞争环境；行业数据

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关键词：汽车；交通拥堵；决策；

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In this project, we developed an innovative methodology to solve a long-standing traffic engineering problem, i.e. measuring traffic speed using data from single inductive loop detectors. Traditionally, traffic speeds are estimated using aggregated detector data with a manually calibrated effective vehicle length. The calibration effort (usually through running probe vehicles), however, is time consuming and costly. Instead of using aggregated data, in this project, our data collection system records every vehicle-detector actuation 'event' so that for each vehicle we can identify the time gap and the detector occupation time. With such high-resolution 'event-based' data, we devised a method to differentiate regular cars with longer vehicles. The proposed method is based on the observation that longer vehicles will have longer detector occupation time. Therefore, we can identify longer vehicles by detecting the changes of occupation time in a vehicle platoon. The 'event-based' detector data can be obtained through the implementation of the SMART-Signal (Systematic Monitoring of Arterial Road Traffic Signals) system, which was developed by the principal investigator and his students in the last five years. The method is tested using the data from Trunk Highway 55, which is a high-speed arterial corridor controlled by coordinated traffic signals. The result shows that the proposed method can correctly identify most of the vehicles passing by inductive loop detectors. The identification of long vehicles will improve the estimation of effective vehicle length on roads. Consequently, speed estimation from the inductive loop detector is improved.

关键词：汽车；高速公路；速度

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关键词：汽车；情绪调节；交通安全

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Driver response to congestion and road pricing is an essential element to forecasting the future use of roadway systems and estimating the effect that pricing has on demand and route choice. Though many studies have been conducted in the past and revenue studies are routinely done for proposed toll roads, there is still a need for improving the behavioral basis for forecast. The objective of this project was to develop mathematical descriptions of the full range of highway user behavioral responses to congestion, travel time reliability, and pricing. These descriptions were achieved by mining existing data sets. The report estimates a series of nine utility equations, progressively adding variables of interest. This research explores the effect on demand and route choice of demographic characteristics, car occupancy, value of travel time, value of travel time reliability, situational variability, and an observed toll aversion bias. The primary audience for this research is professionals who develop travel demand and traffic forecasts. Policy makers may also have an interest in the behavioral findings that could have policy implications. Equations for commercial drivers were not developed since their routes are normally determined, in part, by contracts and company policies.

关键词：汽车；公路拥堵；旅游

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Increased use of public transportation is an effective means of decreasing roadway congestion and its associated externalities. To increase the use of public transportation under economic and resource constraints, it is important to improve the understanding of public transportation supply characteristics and demand behavior and make use of this understanding to improve planning and operations functions. Analyzing and interpreting in situ public transportation conditions that are readily accessible and observable can greatly improve this understanding. Project investigators previously worked with The Ohio State University (OSU) Campus Area Bus Service (CABS) and a private technology provider to equip the CABS network with state-of-the-art sensing, communications, and passenger information systems that are presently used to provide realtime bus arrival information to CABS users and ridership and location information to CABS operators and planners.

关键词：公共汽车；校园区巴士服务；通信；交通网络

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