Download or read book Vehicle Classification Sampling Methodology Evaluation written by Wisconsin. Department of Transportation. Division of Planning & Budget and published by . This book was released on 1978 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Validation of Urban Vehicle Classification Sampling Methodology written by and published by . This book was released on 2005 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Mobility Analysis Section of the CDOT Division of Transportation Development (DTD) developed this study to determine whether the cluster count method developed by CDOT is statistically reliable for estimating vehicle classification on urban roadways with average daily traffic volumes exceeding 15,000 vehicles per day. Specifically, CDOT needed to assess whether or not the percentages of vehicles in the 13 FHWA vehicle classifications estimated by the cluster count method differ significantly from expected percentages obtained by 24-hour counts. Since vehicle classification is expensive to perform by manual observation over long periods of time, a statistically reliable method of estimating vehicle type percentages on urban roadways using a less time-consuming method is desirable. The study team utilized the chi-square statistical test to evaluate the similarity between vehicle classifications collected using the cluster count method and 24-hour vehicle counts collected using other data collection methods. Vehicle classification data were collected at 12 sites around Denver, Colorado that represented different roadway classes. The statistical tests between the data collected using the cluster count method and the 24-hour counts revealed that the current cluster count method varied beyond an acceptable statistical similarity to the 24-hour counts. Upon reaching this conclusion, the study panel simulated various changes to the short duration count methodology in an effort to identify the greatest improvement in statistical accuracy. As a result of this study, the recommended short duration vehicle classification methodology requires vehicle counts to be performed for 15 minutes every hour for a 24-hour period. This method exhibits strong statistical similarity to the 24-hour classification counts for all roadway classes and study sites included in this analysis. This collection method is statistically accurate, easy for field personnel to understand and collect, and is about onethird of the cost of a manual 24-hour count. The Mobility Analysis Section of DTD has developed a guidebook on the recommended short duration count methodology that will be available to CDOT staff, data collectors, consultants, and other public agencies. This guidebook outlines how to collect the short duration classification data, process and manage the data, and perform quality control checks.
Download or read book Sampling Techniques for the Collection of Vehicle Classification Data written by Jerry G. Pigman and published by . This book was released on 1985 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evaluation Methodology for Federal Motor Vehicle Safety Standards Volume II Technical Findings Final Report written by R. L. Braun and published by . This book was released on 1977 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evaluation of Methodology for Determining Truck Vehicle Miles Traveled in Illinois written by R. F. Benekohal and published by . This book was released on 2002 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nationwide surveys of departments of transportation, metropolitan planning organizations, and classification vendors/producers were conducted to determine the state of practice on equipment and methodologies used to determine truck vehicle miles traveled (VMT). The current Illinois Department of Transportation (IDOT) methodology was evaluated and it was found that it overestimated truck VMT for multi-unit trucks on all eight functional classes except on the minor urban arterials. The average overestimation was 11.5% and it varied from -10% to +44%. The current method overestimated truck VMT for single-unit trucks in five and underestimated in three functional classes. The under/over estimation ranged from -6% to +35%, but the average value was close to zero. To calculate truck VMT more accurately, this study proposed two different methods based on average truck percentage (ATP) and average section length (ASL). In the ATP method, truck VMT is calculated by multiplying the ATP for a group of roadway sections by the total VMT of that group. The ATP method should be used when the ATP and the total VMT by volume groups are available. In the ASL method, the total truck volume for the sampled sections is multiplied by the ASL. The ASL method should be used when the information required for ATP is not available or not reliable. Sample size influences the accuracy of truck VMT estimation and the decision on sample size must consider the error level that is acceptable. This study looked at the likely error for different sample sizes and recommended using 8% to 16% of the number of roadway sections. The sections should be distributed among the volume groups. Recently, IDOT collects vehicle classification data for three categories at about 10,000 sections, biennially. It is recommended to evaluate the truck VMT calculation using recent data.
Download or read book Vehicle Classification Data Expansion written by Wisconsin. Department of Transportation. Division of Planning & Budget and published by . This book was released on 1980 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Sample Size Estimation for Truck Survey written by Canada. Transport Canada. Surface. Road Safety and Motor Vehicle Regulation Directorate. Evaluation and Data Systems Division and published by . This book was released on 1989 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evaluation of Vehicle Classification Equipment written by and published by . This book was released on 1982 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive Video based Vehicle Classification Technique for Monitoring Traffic written by and published by . This book was released on 2015 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report presents a methodology for extracting two vehicle features, vehicle length and number of axles in order to classify the vehicles from video, based on Federal Highway Administration's (FHWA's) recommended vehicle classification scheme. There are two stages regarding this classification. The first stage is the general classification that basically classifies vehicles into 4 categories or bins based on the vehicle length (i.e., 4-Bin length-based vehicle classification). The second stage is the axle-based group classification that classifies vehicles in more detailed classes of vehicles such as car, van, buses, based on the number of axles. The Rapid Video-based Vehicle Identification System (RVIS) model is developed based on image processing technique to enable identifying the number of vehicle axles. Also, it is capable of tackling group classification of vehicles that are defined by axles and vehicle length based on the FHWA's vehicle classification scheme and standard lengths of 13 categorized vehicles. The RVIS model is tested with sample video data obtained on a segment of I-275 in the Cincinnati area, Ohio. The evaluation result shows a better 4-Bin length-based classification than the axle-based group classification. There may be two reasons. First, when a vehicle gets misclassified in 4-Bin classification, it will definitely be misclassified in axle-based group classification. The error of the 4-Bin classification will propagate to the axle-based group classification. Second, there may be some noises in the process of finding the tires and number of tires. The project result provides solid basis for integrating the RVIS that is particularly applicable to light traffic condition and the Vehicle Video-Capture Data Collector (VEVID), a semi-automatic tool to be particularly applicable to heavy traffic conditions, into a "hybrid" system in the future. Detailed framework and operation scheme for such an integration effort is provided in the project report.
Download or read book Selected Library Acquisitions written by United States. Department of Transportation and published by . This book was released on with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Using the Traffic Monitoring Guide to Develop a Truck Weight Sampling Procedure for Use in Virginia written by Benjamin H. Cottrell and published by . This book was released on 1992 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Traffic Monitoring Guide (TMG) provides a method for the development of a statistically based procedure to monitor traffic characteristics such as traffic loadings. Truck weight data in particular are a major element of the pavement management process because there is a strong relationship between pavement deterioration and truck weights. Because truck weight data collected by weigh-in-motion (WIM) systems are more representative of actual traffic loadings and are more efficient than enforcement and static weight data, the use of the TMG and WIM systems together provide improved monitoring of truck weights. The objective of this research was to develop a plan for VDOT to implement a truck weight sampling procedure using the TMG and WIM systems. Four alternatives from the TMG that were based on different schemes for multiple measurements at permanent WIM sites were evaluated. A truck weight sampling plan was developed for the preferred alternative. Truck weight sample sites, data collection procedures, cost and resources estimates, data from permanent WIM sites, and data management information are included in the plan.
Download or read book Evaluation of the Texas Truck Weighing Program written by Donald A. Maxwell and published by . This book was released on 1986 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evaluation of Automatic Vehicle Classification Devices written by Andrew D. Halverson and published by . This book was released on 1985 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Field Evaluation of FHWA Vehicle Classification Categories written by John H. Wyman and published by . This book was released on 1985 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Length based Vehicle Classification Using Dual loop Data Under Congested Traffic Conditions written by Qingyi Ai and published by . This book was released on 2013 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The Stated Preference Approach to Environmental Valuation Volumes I II and III written by Richard T. Carson and published by Routledge. This book was released on 2018-12-20 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a truly enormous literature on using stated preference information to place a monetary value on environmental amenities. This three volume set provides the key papers for understanding the historical development of contingent valuation, its theoretical and statistical foundations, and the major controversies. It also contains representative papers covering all of the major application areas in environmental valuation.
Download or read book Summary and Recommendations of the Conference on FHWA Truck Travel Data written by and published by . This book was released on 1993 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:
