Download or read book Truck GPS Data in Freight Planning written by Zun Wang and published by . This book was released on 2014 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Efficient and reliable goods movement via our nation's highway system is critical to the nation's economy and quality of life. Truck mobility is one of the key performance measures for evaluating the conditions of goods movement and supporting freight planning. Truck GPS data can be useful in developing truck mobility measures and providing insights into freight planning. This dissertation employs truck GPS data and proposes a set of methodologies for measuring and forecasting truck mobility performance, with particular emphases on truck travel time and travel time reliability. It also examines how GPS data can be used to support freight planning, using the analysis of impacts of a tolling project on truck mobility and routing as a case study. The first part of this dissertation investigates how to measure truck travel time reliability given the characteristics of GPS data. An improved spot-speed distribution based travel time reliability measure is proposed. The proposed approach is compared with a number of commonly applied reliability measures. The correlations among these measures reveal that the reliability measures are not highly correlated, demonstrating that different measures provide different conclusions for the same underlying data and traffic conditions. The author presents recommendations of the appropriate measures for different applications. Quantitative freight project prioritization processes require both pre- and post-investment truck mobility performance. Therefore, the second part of this dissertation develops quantitative methods for forecasting truck specific travel time and travel time reliability. For travel time prediction, a speed-density based approach is proposed to predict truck travel time associated with segment density changes. Traffic regimes are segmented using a cluster analysis approach. The travel time estimates are compared with two widely applied traditional methodologies. The results demonstrate that the proposed method is able to estimate more accurate travel times. For reliability prediction, we analyze the changes of GPS spot speed distribution in response to different traffic conditions. A relationship between truck spot speed distribution coefficient of variation and segment density is proposed to forecast reliability. The approach is transferable and sheds a light on forecasting travel time reliability. The third part of this dissertation focuses on examining how GPS data can be used to assist freight planning. The SR-520 toll bridge in the City of Seattle, Washington is selected as the case study. We quantify the toll project impacts on truck mobility and route choice. Truck GPS data is used to evaluate route choice and travel speed along SR-520 and the alternate toll-free route I-90. A logit model is developed to determine the influential factors in truck routing. The results indicate that travel time, travel time reliability and toll rate are all influential factors during both peak and off-peak periods. The values of truck travel time during different time periods are estimated, and the values vary with the definition of peak and off-peak periods. This dissertation provides decision makers with useful guidance and information on using GPS data for truck mobility measurement and forecasting. It also demonstrates the capability of GPS data in supporting freight planning.
Download or read book Using Truck GPS Data for Freight Performance Analysis in the Twin Cities Metro Area written by Chen-Fu Liao and published by . This book was released on 2014 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building on our previous efforts to study freight mobility and reliability, a GPS-based data analysis methodology was developed to study the freight performance of heavy commercial trucks along 38 key freight corridors in the Twin Cities metropolitan area (TCMA). One year of truck GPS data collected in 2012 was obtained from American Transportation Research Institute (ATRI) to study freight mobility and reliability. Several performance measures, such as truck mobility, delay, and reliability index, were computed and analyzed by route, roadway segment, and time of day. For data quality and reliability verification, average truck speed and hourly volume percentage computed from the truck GPS data were validated with weigh-in-motion (WIM) and automatic traffic recorders (ATR) data at selected locations. The GPS based freight analysis methodology offers potential opportunities for freight planners and managers to generate reliable measures in a timely manner. The resulting performance measures indicate that these measures derived from truck GPS data can be used to support the USDOT performance measure initiative and support regional surface freight planner in identifying freight bottlenecks, infrastructure improvement needs, and operational strategies to promote efficient freight movement. FHWA recently announced the National Performance Measurement Research Data Set (NPMRDS) to support its Freight Performance Measurement (FPM). The NPMRDS includes probe vehicle based travel time data in every 5-minute interval. This report also explored the feasibility of using one month of NPMRDS data in Minnesota to compute freight mobility and speed variations along the National Highway System (NHS) during AM and PM peak periods.According to statistics from the Federal Highway Administration (FHWA), each year approximately 17% of all work zone fatalities are pedestrians. People who are visually impaired often encounter physical and information barriers that limit their accessibility and mobility. A survey was conducted among 10 visually impaired participants as a starting point to understand their challenges and what types of information are helpful in providing bypass or routing instructions to them around work zones. The survey results were incorporated into development of guiding documents in determining information elements that are essential and useful for providing routing instructions to the visually impaired around work zones. Building on our previous efforts to provide geometry and signal timing to the visually impaired at signalized intersections, a smartphone-based navigation system was developed and integrated with navigational audible information to alert pedestrians at decision points prior to their arrival at a work zone. The recommended message elements from survey results were implemented in a smartphone app that uses GPS and Bluetooth technologies to determine a user's location. When a work zone is detected, the smartphone will vibrate to alert users and the app will then announce a corresponding audible message to users. The visually impaired users can perform a single tap on the smartphone to repeat the messages, if needed. Functionality testing and system validation of the smartphone app were performed by attaching four Bluetooth beacons to light posts near a construction site in St. Paul, MN. Additional research is needed to conduct experiments with visually impaired users and evaluate system reliability and usefulness.
Download or read book Deriving Statewide Freight Truck Flows from Global Positioning System GPS Data written by Akbar Bakhshi Zanjani and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The algorithm was applied to four months of ATRI's truck-GPS data comprising over 145 Million GPS records to derive a database of more than 1.2 million truck trips starting and/or ending in Florida. This database was used to analyze truck travel characteristics and origin-destination truck flow patterns for different geographical regions in Florida. The resulting database was used in conjunction with the GPS data to analyze the extent to which ATRI's data represents observed truck traffic flows in the state. It was found that at an aggregate level, almost 10% of heavy truck traffic flows in Florida is captured in the ATRI data. Finally, the database of truck trips derived from ATRI's truck-GPS data was combined with observed heavy truck traffic volumes at different locations within and outside Florida to derive an origin-destination (OD) table of truck flows within, into, and out of the state. To this end, first, the truck trip database developed from ATRI's truck-GPS data was converted into a seed OD table at the TAZ-level spatial resolution used in FLSWM. Subsequently, a mathematical procedure called origin-destination matrix estimation (ODME) method was employed to combine the OD flow table generated from the ATRI data with observed truck traffic volume information at different locations within and outside Florida. The OD table of truck flows estimated from this procedure can be used for a variety of purposes, including the calibration and validation of the heavy truck modeling components of FLSWM.
Download or read book Developing Appropriate Freight Performance Measures for Emerging Users written by Michael Schofield and published by . This book was released on 2007 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: Federal and state transportation planning and policy has begun to focus on highway performance measurement, balancing goals, performance measures and measurement. The push toward performance measurement first focused on passenger vehicles, largely ignoring the measurement of freight-related (truck) performance. The period since 2000 has seen a handful of DOTs examining broad indicators of efficient freight movement, but as of yet, there was no definitive work in the area until a 2003 FHWA funded project began to look into various freight tracking technologies to develop freight performance measures (FPMs), finally selecting a GPS technology widely adopted by U.S motor carriers. At the time of this study report, the FHWA study worked on data manipulation and graphical representation of highway speeds, but has yet to use the data for alternative performance measures or examine the possibility of using the truck respondents as probe vehicles for real-time ITS applications. The purpose of this report is to develop a set of universal FPMs, as well as looking into various applications, both real-time and long-term planning, for the truck GPS data collected as part of the FHWA study.
Download or read book Developing Freight Highway Corridor Performance Measure Strategies in Texas written by and published by . This book was released on 2006 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Truck Activity Pattern Classification Using Anonymous Mobile Sensor Data written by Taslima Akter and published by . This book was released on 2019 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: To construct, operate, and maintain a transportation system that supports the efficient movement of freight, transportation agencies must understand economic drivers of freight flow. This is a challenge since freight movement data available to transportation agencies is typically void of commodity and industry information, factors that tie freight movements to underlying economic conditions. With recent advances in the resolution and availability of big data from Global Positioning Systems (GPS), it may be possible to fill this critical freight data gap. However, there is a need for methodological approaches to enable usage of this data for freight planning and operations. To address this methodological need, we use advanced machine-learning techniques and spatial analyses to classify trucks by industry based on activity patterns derived from large streams of truck GPS data. The major components are: (1) derivation of truck activity patterns from anonymous GPS traces, (2) development of a classification model to distinguish trucks by industry, and (3) estimation of a spatio-temporal regression model to capture rerouting behavior of trucks. First, we developed a K-means unsupervised clustering algorithm to find unique and representative daily activity patterns from GPS data. For a statewide GPS data sample, we are able to reduce over 300,000 daily patterns to a representative six patterns, thus enabling easier calibration and validation of the travel forecasting models that rely on detailed activity patterns. Next, we developed a Random Forest supervised machine learning model to classify truck daily activity patterns by industry served. The model predicts five distinct industry classes, i.e., farm products, manufacturing, chemicals, mining, and miscellaneous mixed, with 90% accuracy, filling a critical gap in our ability to tie truck movements to industry served. This ultimately allows us to build travel demand forecasting models with behavioral sensitivity. Finally, we developed a spatio-temporal model to capture truck rerouting behaviors due to weather events. The ability to model re-routing behaviors allows transportation agencies to identify operational and planning solutions that mitigate the impacts of weather on truck traffic. For freight industries, the prediction of weather impacts on truck driver's route choices can inform a more accurate estimation of billable miles.
Download or read book Freight Demand Modeling and Data Improvement written by Keith M. Chase and published by Transportation Research Board. This book was released on 2013 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: " TRB's second Strategic Highway Research Program (SHRP 2) Report S2-C20-RR-1: Freight Demand Modeling and Data Improvement documents the state of the practice for freight demand modeling. The report also explores the fundamental changes in freight modeling, and data and data collection that could help public and private sector decision-makers make better and more informed decisions. SHRP 2 Capacity Project C20, which produced Report S2-C20-RR-1, also produced the following items: A Freight Demand Modeling and Data Improvement Strategic Plan, which outlines seven strategic objectives that are designed to serve as the basis for future innovation in freight travel demand forecasting and data, and to guide both near- and long-term implementation: A speaker's kit, which is intended to be a "starter" set of materials for use in presenting the freight modeling and data improvement strategic plan to a group of interested professionals; and; A 2010 Innovations in Freight Demand Modeling and Data Symposium " -- publisher's description
Download or read book Development of Freight Performance Measures Using GPS Truck Data written by Zach Johnson and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The availability of GPS technology has allowed for significant advances in the research of freight transportation. Current systems enable information to be gathered on an individualistic scale including informations such as speed, direction and location within feet of their actual location. Several agencies have begun the process of collection and archiving data into large databases to make access and continuity of the information readily available to researchers. The American Transportation Research Institute (ATRI) is contracted with freight companies to collect their truck GPS information and add it to a large database. This is one of the most extensive truck GPS databases available and is important to the furtherance of freight research. In order to fully utilize this "raw" data, algorithms need to be developed that will analyze and produce information on key performance measures that have been difficult to obtain otherwise.
Download or read book Urban Informatics written by Wenzhong Shi and published by Springer Nature. This book was released on 2021-04-06 with total page 941 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.
Download or read book Freight demand Modeling to Support Public sector Decision Making written by Cambridge Systematics and published by Transportation Research Board. This book was released on 2010 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This report presents an evaluation of possible improvements in freight demand models and other analysis tools and provides a guidebook to assist model developers in implementing these improvements. The report is especially valuable for its findings of general satisfaction with methods available to support freight planning, but concerns with the data available to support that planning. As such, the report focuses on ways to use existing data to develop data inputs for the model, showing that existing and readily available data can be used to develop the inputs required by freight models. The report will enable decision makers at a range of geographical levels to improve the usability of freight demand models."--Pub. desc.
Download or read book Freight Data Needs at the Metropolitan Level and the Suitability of Intelligent Transportation Systems in Supplying MPOs with the Needed Freight Data written by Isabel C. Victoria and published by . This book was released on 2004 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Concept for a National Freight Data Program written by National Research Council (U.S). Committee on Freight Transportation Data: a Framework for Development and published by Transportation Research Board. This book was released on 2003 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Calls upon the Department of Transportation and its Bureau of Transportation Statistics to take the lead in coordinating freight data collection in the US. This work focuses on increasing the linkages between sources of data and filling data gaps to develop a source of timely and reliable data on freight flows. A national framework is needed.
Download or read book Developing Freight Performance Measures To Address Map 21 Objectives Using Truck GPS Data written by Maria Flaskou and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Goods are moved across the US by trucks on a daily basis. These trucks affect traffic conditions on the roadway network and contribute significantly in congestion and air pollution. Thus, it is imperative to estimate truck trip data and identify segments of highly congested corridors as to propose future improvements. The past few years private and public transportation agencies utilize Global Positioning System (GPS) devices installed in trucks to gather information about their travel patterns. The main objective of this study is to develop a methodology for processing raw GPS data and to develop freight performance measures (FPMs). The algorithms proposed are used to estimate bi-directional link speeds, to analyze truck trips and develop Origin-Destination (OD) matrices between Traffic Analysis Zones (TAZs). A case study for the state of Tennessee (TN) is presented in the last part on how the output of these algorithms can be used to calibrate the & beta; factors between zones in Trip Distribution's Gravity Model.
Download or read book Using Archived Truck GPS Data for Freight Performance Analysis on I 94 I 90 from the Twin Cities to Chicago written by Chen-Fu Liao and published by . This book was released on 2009 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Guidance for Developing a Freight Transportation Data Architecture written by César Augusto Quiroga and published by Transportation Research Board. This book was released on 2011 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: At head of title: National Cooperative Freight Research Program.
Download or read book A Motor Freight Planning Model for Chicago written by Frank Southworth and published by . This book was released on 1982 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Making Trucks Count written by Johanna Zmud and published by . This book was released on 2014 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: "NCFRP Report 29: Making Trucks Count: Innovative Strategies for Obtaining Comprehensive Truck Activity Data develops and assesses strategies for obtaining comprehensive trucking activity data for making more informed public policy decisions at the national and regional levels. The report focuses on improving existing approaches rather than creating completely new ones, with a goal of yielding meaningful results in 5 to 7 years. Three approaches were developed in detail: (1) using GPS traces to understand trucking activities, (2) a re-conceptualized Vehicle Inventory and Use Survey (VIUS), and (3) agent-based models for freight transportation."--publisher's description.
