Vehicle Classification Data User Demand PDF Download
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Author | : Wisconsin. Department of Transportation. Division of Planning |
Publisher | : |
Total Pages | : 38 |
Release | : 1978 |
Genre | : Choice of transportation |
ISBN | : |
Download Vehicle Classification Data User Demand Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : 102 |
Release | : 2009 |
Genre | : Traffic surveys |
ISBN | : |
Download Wisconsin Vehicle Classification Data Book in PDF, ePub and Kindle
Author | : Wisconsin. Department of Transportation. Division of Planning & Budget |
Publisher | : |
Total Pages | : 52 |
Release | : 1978 |
Genre | : Traffic surveys |
ISBN | : |
Download Vehicle Classification Sampling Methodology Evaluation Book in PDF, ePub and Kindle
Author | : Wisconsin. Department of Transportation. Division of Planning & Budget |
Publisher | : |
Total Pages | : 50 |
Release | : 1980 |
Genre | : Motor vehicles |
ISBN | : |
Download Vehicle Classification Data Expansion Book in PDF, ePub and Kindle
Author | : Qingyi Ai |
Publisher | : |
Total Pages | : 93 |
Release | : 2013 |
Genre | : |
ISBN | : |
Download Length-based Vehicle Classification Using Dual-loop Data Under Congested Traffic Conditions Book in PDF, ePub and Kindle
The accurate measurement of vehicle classification is a highly valued factor in traffic operation and management, validations of travel demand models, freight studies, and even emission impact analysis of traffic operation. Inductive loops are increasingly used specifically for traffic monitoring at highway traffic data collection sites. Many studies have proven that the vehicle speed can be estimated accurately by using dual-loop data under free traffic condition, and then vehicle lengths can be estimated accurately. The capability of measuring vehicle lengths makes dual-loop detectors a potential real-time data source for vehicle classification. However, the existing dual-loop length-based vehicle classification model was developed with an assumption that the difference of a vehicle's speed on the first and the second single loop is not significant. Under congested traffic flows, vehicles' speeds change frequently and even fiercely, and the assumption cannot be met any more. The outputs of the existing models have a high error rate under non-free traffic conditions (such as synchronized and stop-and-go congestion states). The errors may be contributed by the complex characteristics of traffic flows under congestion; but quantification of such contributing factors remains unclear. In this study, the dual-loop data and vehicle classification models were evaluated with concurred video ground-truth data. The mechanism of the length-based vehicle classification and relevant traffic flow characteristics were tried to be revealed. In order to obtain the ground-truth vehicle event data, the software VEVID (Vehicle Video-Capture Data Collector) was used to extract high-resolution vehicle trajectory data from the videotapes. This vehicle trajectory data was used to identify the errors and reasons of the vehicle classifications resulted from the existing dual-loop model. Meanwhile, a probe vehicle equipped with a Global Positioning System (GPS) data logger was used to set up reference points for VEVID and to collect traffic profile data under varied traffic flow states for developing the new model under stop-and-go traffic flow. The research has proven inability of the existing vehicle classification model in producing satisfactory estimates of vehicle lengths under congestion, i.e., synchronized or stop-and-go traffic states. The Vehicle Classification under Synchronized Traffic Model (VC-Sync model) was developed to estimate vehicle lengths against the synchronized traffic flow and the Vehicle Classification under Stop-and-Go Model (VC-Stog model) was developed to estimate vehicle lengths against the stop-and-go traffic flow. Compare to the existing models, under the congested traffic flows, the newly developed models have improved the accuracy of vehicle length estimation significantly. The contribution of this research is reflected in the following aspects: 1) An innovative VEVID-based approach is developed for evaluating the concurred dual-loop data and resulted vehicle classification and relevant traffic flow characteristics against video-based ground-truth vehicle event trajectory data, which is difficult to conduct with traditional approaches; 2) Innovative vehicle classification models for both synchronized traffic and stop-and-go traffic states are developed through such an evaluation process; 3) The algorithms for processing the dual-loop vehicle event raw data have been improved by considering the influence of traffic flow characteristics;. 4) A GPS-based approach is developed for setting up the reference points in field in conjunction with application of VEVID, which is proven a safety and efficient approach compared to traditional manual approaches. And the GPS-based travel profile data is greatly helpful in developing the new models.
Author | : Jerry G. Pigman |
Publisher | : |
Total Pages | : 42 |
Release | : 1985 |
Genre | : Motor vehicles |
ISBN | : |
Download Sampling Techniques for the Collection of Vehicle Classification Data Book in PDF, ePub and Kindle
Author | : Eren Yuksel |
Publisher | : |
Total Pages | : 122 |
Release | : 2018 |
Genre | : Intelligent transportation systems |
ISBN | : |
Download Heavy Vehicle Classification Analysis Using Length-based Vehicle Count and Speed Data Book in PDF, ePub and Kindle
There is an increasing demand for application of Intelligent Transportation Systems (ITS) in order to make highways safer and sustainable. Collecting and analyzing traffic stream data are the most important parameters in transportation engineering in enhancing our understanding of traffic congestion and mobility. Classification of the vehicles using traffic data is one of the most essential parameters for traffic management. Of particular interest are heavy vehicles which impact traffic mobility due to their lack of maneuverability and slower speeds. The impact of heavy vehicles on the traffic stream results in congestion and reduction of road efficiency. In this paper, length-based vehicle count and speed data were analyzed and interpreted using one week's data from Interstate 5 (I-5) in the Portland, Oregon (OR) region of the United States (US). I-5 was chosen due to its prominent role in promoting North-South freight movement between Canada and Mexico and its vicinity to the Port of Portland. The objective of this analysis was to find better visualization techniques for the length-based traffic count and speed data. In total, 13,901,793 out of 56,146,138 20-second records were analyzed. The vehicles were classified into two categories. Those that were 20 feet or less were considered as passenger vehicles and those above 20 feet were considered as heavy vehicles. The data consisted of approximately 25% heavy vehicles. Results showed the merit of applying more disaggregate data (5-min polar, and radar plots) for better visualization as against hourly, and 15-min plots in order to capture sudden changes in average speed, heavy vehicle volume, and heavy vehicle percentage.
Author | : National Research Council (U.S.). Highway Research Board |
Publisher | : |
Total Pages | : 88 |
Release | : 1963 |
Genre | : Transportation |
ISBN | : |
Download Motor Vehicle Use Characteristics Book in PDF, ePub and Kindle
Three reports on M motor vehicle use characteristics for the 42nd Highway Research Board Annual Meeting, January 7-11, 1963.
Author | : Xiaoying Hu |
Publisher | : |
Total Pages | : 164 |
Release | : 1998 |
Genre | : |
ISBN | : |
Download Advanced vehicle classification using WIM data Book in PDF, ePub and Kindle
Author | : M. M. Alexander |
Publisher | : |
Total Pages | : 68 |
Release | : 1975 |
Genre | : Traffic surveys |
ISBN | : |
Download Vehicle Classification Systems Study Book in PDF, ePub and Kindle