A Feature Based Traffic Monitoring System For Large Scale Freeway Using A Big Data Resource
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Functional Pavements
Functional Pavements is a collection of papers presented at the 6th Chinese-European Workshop (CEW) on Functional Pavement Design (Nanjing, China, October 18-21, 2020). The focus of the CEW series is on field tests, laboratory test methods and advanced analysis techniques, and cover analysis, material development and production, experimental characterization, design and construction of pavements. The main areas covered by the book include: • Asphalt binders for flexible pavements • Asphalt mixture evaluation and performance • Pavement construction and maintenance • Pavement Surface Properties and Vehicle Interaction • Cementitious materials for rigid pavements • Pavement geotechnics and environment Functional Pavements aims at contributing to the establishment of a new generation of pavement design methodologies in which rational mechanics principles, advanced constitutive models and advanced material characterization techniques shall constitute the backbone of the design process. The book will be much of interest to professionals, academics and practitioners in pavement engineering and related disciplines as it should assist them in providing improved road pavement infrastructure to their stakeholders.
A Feature Based Traffic Monitoring System for Large Scale Freeway Using a Big Data Resource
Traffic details monitoring for a large-scale freeway is always a long-term significant and practical topic in both academic and industrial transportation community. Conventionally, traffic monitoring systems are using roadside equipment data. However, costs of such equipment including both maintenance and installation are expensive. To apply cellular data as a new and indirect data source on traffic states estimation has emerged for nearly two decades. Full cellular activity data refers to the complete records of real-time cellphone communication signals generated by cell towers while maintaining mobile services both on- and off-call. Full cellular activity data is a big data resource, and such data is related to phone calls, texting, web browsing, video and audio streaming, location-based service and other activities. Existing cellular probe-based traffic states estimation methods heavily rely on on-call wireless location technologies signal transition data such as location update (LU), handoff (HO), and timing advance (TA) data. However, in fact, signal transition data is a minuscule subset of the full cellular data and only generated when a phone crosses location area boundaries during an active phone call. In addition, those methods also rely on routine road tests to obtain the relation between cell towers (CT) and freeway segments. Existing safety studies suggest that making phone calls while driving is a safety hazard, and phone calls during driving become forbidden within the improvement of law-making. This research presents a design of traffic monitoring system using the full cellular data for traffic status detection and estimation. Detailed descriptions of each module in such system are given. Features, including the link average CT heat, the link pseudo-speed and the link phone count, are defined and introduced in this research. Two algorithms, a rule based self-adaptive algorithm, and a machine learning based model, are developed to determine the freeway congestion level based on these features. The proposed system is going to be implemented for a major freeway corridor in China. Results are validated by fixed-point radar detector data. As a data-driven technique, the proposed method shows its advantages when there are only limited funds to implement a traffic monitoring system for the large-scale freeway.
Springer Handbook of Geographic Information
Author: Wolfgang Kresse
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-02-21
Computer science provides a powerful tool that was virtually unknown three generations ago. Some of the classical fields of knowledge are geodesy (surveying), cartography, and geography. Electronics have revolutionized geodetic methods. Cartography has faced the dominance of the computer that results in simplified cartographic products. All three fields make use of basic components such as the Internet and databases. The Springer Handbook of Geographic Information is organized in three parts, Basics, Geographic Information and Applications. Some parts of the basics belong to the larger field of computer science. However, the reader gets a comprehensive view on geographic information because the topics selected from computer science have a close relation to geographic information. The Springer Handbook of Geographic Information is written for scientists at universities and industry as well as advanced and PhD students.