Assessment of GPS-enabled Smartphone Data and Its Use in Traffic State Estimation for Highways

Assessment of GPS-enabled Smartphone Data and Its Use in Traffic State Estimation for Highways PDF Author: Juan Carlos Herrera
Publisher:
ISBN:
Category :
Languages : en
Pages : 296

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Assessment of GPS-enabled Smartphone Data and Its Use in Traffic State Estimation for Highways

Assessment of GPS-enabled Smartphone Data and Its Use in Traffic State Estimation for Highways PDF Author: Juan Carlos Herrera
Publisher:
ISBN:
Category :
Languages : en
Pages : 296

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Book Description


Evaluation of Vehicle Positioning Accuracy Using GPS-enabled Smartphones in Traffic Data Capturing

Evaluation of Vehicle Positioning Accuracy Using GPS-enabled Smartphones in Traffic Data Capturing PDF Author: Na Yin
Publisher:
ISBN:
Category : Geographic information systems
Languages : en
Pages : 116

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Book Description
Connected Vehicle (CV) technology aims to improve transportation management and system performance by incorporating advanced detection and communication system such as Global Positioning System (GPS), and smart devices to make roads and vehicles better equipped to exchange important information regarding road and travel conditions. GPS have emerged as the leading technology to provide location information to various location based services. With an increasing smartphone penetration rate, as well as expanding spatial and network coverage, the idea of combining GPS positioning functions with smartphone platforms to perform GPS-enabled smartphone-based traffic management and data monitoring is promising. This study presents a field experiment conducted along Whitemud Drive (a section of Connected Vehicle Test Bed in Edmonton, Alberta, Canada), Queen Elizabeth Highway, and various urban arterial roadways using a GPS-enabled smartphone, cellular positioning technique, professional GPS handset and combination of smartphone and Geofence. The relative positioning errors and the data collection performances using the aforementioned technologies were evaluated and compared. The characteristics and the relationships between the positioning errors and traffic related factors are investigated using regression analysis. The results indicate that GPS-enabled smartphones are capable of correctly positioning 92% of the roadway segments to Google Earth, while achieving accuracy of less than 10 meters for 95% of the data. Using a cellular positioning technique, cell-IDs were correctly identified in repeatable trials with accuracy levels much lower than the smartphone-GPS positioning. Using combination of smartphone positioning and Geofence are promising in finding accurate positions and timestamps. In all scenarios, the use of four data source for obtaining location and traffic condition is feasible; and particularly, using GPS-enabled smartphones and/or its combination with Geofences can provide good accuracy level for location and traffic state parameter estimates.

An Energy-saving Approach for Real-time Highway Traffic Estimation Using GPS-enabled Smartphones

An Energy-saving Approach for Real-time Highway Traffic Estimation Using GPS-enabled Smartphones PDF Author: Daxiao Liu
Publisher:
ISBN:
Category : Computer science
Languages : en
Pages :

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Book Description
This paper presents a microscopic traffic estimation algorithm for smartphones by employing their built-in probes such as GPS and acceleration sensors to increase the accuracy of real-time traffic condition estimation without significantly increasing the smartphones' energy consumption. In this approach, real-time traffic data is collected through the smartphones of participating users traveling on urban roads. A new reporting algorithm is provided on the clients' side to minimize the amount of time the smartphone maintains connection to the server. Based on the data received from each individual smartphone, real-time traffic conditions and the level of service (LOS) are estimated on the server side by applying the Kalman Filtering algorithm and link aggregating speed algorithm. An iOS application is developed to work as a sample client side smartphone node. Simulations of three different traffic scenario are also created to evaluate the performance of the algorithm. Simulation results show that the proposed algorithm requires less energy usage than existing methods without sacrificing the accuracy of real-time traffic estimations.

Travel Time Estimation Using Cell Phones (TTECP) for Highways and Roadways

Travel Time Estimation Using Cell Phones (TTECP) for Highways and Roadways PDF Author:
Publisher:
ISBN:
Category : Cell phones
Languages : en
Pages : 172

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Evaluation of Traffic Data Obtained Via GPS-enabled Mobile Phones

Evaluation of Traffic Data Obtained Via GPS-enabled Mobile Phones PDF Author: Juan Carlos Herrera
Publisher:
ISBN:
Category : Cell phones
Languages : en
Pages : 26

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Computational Intelligence in Wireless Sensor Networks

Computational Intelligence in Wireless Sensor Networks PDF Author: Ajith Abraham
Publisher: Springer
ISBN: 3319477153
Category : Technology & Engineering
Languages : en
Pages : 220

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Book Description
This book emphasizes the increasingly important role that Computational Intelligence (CI) methods are playing in solving a myriad of entangled Wireless Sensor Networks (WSN) related problems. The book serves as a guide for surveying several state-of-the-art WSN scenarios in which CI approaches have been employed. The reader finds in this book how CI has contributed to solve a wide range of challenging problems, ranging from balancing the cost and accuracy of heterogeneous sensor deployments to recovering from real-time sensor failures to detecting attacks launched by malicious sensor nodes and enacting CI-based security schemes. Network managers, industry experts, academicians and practitioners alike (mostly in computer engineering, computer science or applied mathematics) benefit from th e spectrum of successful applications reported in this book. Senior undergraduate or graduate students may discover in this book some problems well suited for their own research endeavors.

Highway Travel Time Estimation With Data Fusion

Highway Travel Time Estimation With Data Fusion PDF Author: Francesc Soriguera Martí
Publisher: Springer
ISBN: 3662488582
Category : Technology & Engineering
Languages : en
Pages : 226

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Book Description
This monograph presents a simple, innovative approach for the measurement and short-term prediction of highway travel times based on the fusion of inductive loop detector and toll ticket data. The methodology is generic and not technologically captive, allowing it to be easily generalized for other equivalent types of data. The book shows how Bayesian analysis can be used to obtain fused estimates that are more reliable than the original inputs, overcoming some of the drawbacks of travel-time estimations based on unique data sources. The developed methodology adds value and obtains the maximum (in terms of travel time estimation) from the available data, without recurrent and costly requirements for additional data. The application of the algorithms to empirical testing in the AP-7 toll highway in Barcelona proves that it is possible to develop an accurate real-time, travel-time information system on closed-toll highways with the existing surveillance equipment, suggesting that highway operators might provide their customers with such an added value with little additional investment in technology.

Macroscopic Traffic State Estimation for Large Scale Freeway Network Using Wireless Network Data

Macroscopic Traffic State Estimation for Large Scale Freeway Network Using Wireless Network Data PDF Author: Zhijun Qiu
Publisher:
ISBN:
Category :
Languages : en
Pages : 166

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Book Description


Proceedings of the 2012 International Conference on Information Technology and Software Engineering

Proceedings of the 2012 International Conference on Information Technology and Software Engineering PDF Author: Wei Lu
Publisher: Springer Science & Business Media
ISBN: 364234528X
Category : Computers
Languages : en
Pages : 942

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Book Description
Proceedings of the 2012 International Conference on Information Technology and Software Engineering presents selected articles from this major event, which was held in Beijing, December 8-10, 2012. This book presents the latest research trends, methods and experimental results in the fields of information technology and software engineering, covering various state-of-the-art research theories and approaches. The subjects range from intelligent computing to information processing, software engineering, Web, unified modeling language (UML), multimedia, communication technologies, system identification, graphics and visualizing, etc. The proceedings provide a major interdisciplinary forum for researchers and engineers to present the most innovative studies and advances, which can serve as an excellent reference work for researchers and graduate students working on information technology and software engineering. Prof. Wei Lu, Dr. Guoqiang Cai, Prof. Weibin Liu and Dr. Weiwei Xing all work at Beijing Jiaotong University.

The Evolution of Travel Time Information Systems

The Evolution of Travel Time Information Systems PDF Author: Margarita Martínez-Díaz
Publisher: Springer Nature
ISBN: 3030896722
Category : Technology & Engineering
Languages : en
Pages : 299

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Book Description
This book deals with the estimation of travel time in a very comprehensive and exhaustive way. Travel time information is and will continue to be one key indicator of the quality of service of a road network and a highly valued knowledge for drivers. Moreover, travel times are key inputs for comprehensive traffic management systems. All the above-mentioned aspects are covered in this book. The first chapters expound on the different types of travel time information that traffic management centers work with, their estimation, their utility and their dissemination. They also remark those aspects in which this information should be improved, especially considering future cooperative driving environments.Next, the book introduces and validates two new methodologies designed to improve current travel time information systems, which additionally have a high degree of applicability: since they use data from widely disseminated sources, they could be immediately implemented by many administrations without the need for large investments. Finally, travel times are addressed in the context of dynamic traffic management systems. The evolution of these systems in parallel with technological and communication advancements is thoroughly discussed. Special attention is paid to data analytics and models, including data-driven approaches, aimed at understanding and predicting travel patterns in urban scenarios. Additionally, the role of dynamic origin-to-destination matrices in these schemes is analyzed in detail.