原文传递
Data and Methods to Understand Travel, 2016. Transportation Research Record: Journal of the Transportation Research Board, No. 2526
| 题名： | Data and Methods to Understand Travel, 2016. Transportation Research Record: Journal of the Transportation Research Board, No. 2526 |
| 作者： | Wolf, T. |
| 关键词： | Travel behavior##Transportation planning##Forecasting(Transportation)##Highways##Data information technology##Data aanlysis##Travel survey##Inter-modal Passenger##Demographic Characterization##Regulations##Technology innovation##Transportation systems##Administration##Management##Environment##Planning## |
| 摘要： | Transportation Research Record: Journal of the Transportation Research Board, No. 2526, includes 15 papers that explore information related to safety data, analysis, and evaluation in the transportation sector, including: Integrating Adaptive Lighting Database with SHRP 2 Naturalistic Driving Study Data. Validating Rail Transit Assignment. Models with Cluster Analysis and Automatic Fare Collection Data. Demographic Characterization of Anonymous Trace Travel Data. Improved Travel Time Estimation for Reliable Performance Measure Development for Closed Highways. Performance Measures to Characterize Corridor Travel Time Delay Based on Probe Vehicle Data. Shock Wave Boundary Identification Using Cloud-Based Probe Data. Use of Multisensor Data in Reliable Short-Term Travel Time Forecasting for Urban Roads: Dempster–Shafer Approach. Dynamic Traffic Flow Model for Travel Time Estimation. Arterial Travel Time Validation and Augmentation with Two Independent Data Sources. PS and Acceleration Data in Multimode Trip Data Recognition Based on Wavelet Transform Modulus Maximum Algorithm. Design and Implementation of a Smartphone-Based Travel Survey. Survey of Cross-Regional Inter-modal Passenger Travel: Joint Revealed Preference–Stated Preference Survey Integrated with a Multi-modal Trip Planner Tool. Predicting and Applying Differential Response Rates in Address-Based Sampling for a Household Travel Survey. Analyzing Cell Phone Location Data for Urban Travel: Current Methods, Limitations, and Opportunities. Framework for Automating Travel Activity Inference Using Land Use Data: The Case of Foursquare in the Greater Toronto and Hamilton Area, Ontario, Canada |
| 总页数： | 180 |
| 报告类型： | 科技报告 |
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