Improving the Effectiveness of Traffic Monitoring Based on Wireless Location Technology

Improving the Effectiveness of Traffic Monitoring Based on Wireless Location Technology

Author: Michael D. Fontaine

Publisher:

Published: 2004

Total Pages: 110

ISBN-13:

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A fundamental requirement for effectively monitoring and operating transportation facilities is reliable, accurate data on traffic flow. The current state of the practice is to use networks of point detectors to gather information on traffic flow at fixed points on the roadway network. Traffic monitoring based on wireless location technology (WLT) offers an opportunity to expand the size of the transportation network being monitored at a lower cost than with point detection. In WLT-based monitoring, the locations of individual wireless devices are sampled anonymously. By tracking a series of positions for devices in vehicles, it is theoretically possible to estimate the average travel speed on a road. Although the concept of WLT-based monitoring is attractive, results have been mixed. Field tests have been successful at locating vehicle positions but have not been able to generate traffic information of the quality or reliability required for most applications. This research explored how WLT-based monitoring could be improved by rigorously examining the problem from a system design perspective. The evaluation focused on two measures of effectiveness: (1) the availability of speed estimates and (2) the accuracy of speed estimates. The performance of WLT-based monitoring systems was evaluated through a combination of controlled testing on simple networks and case studies on simulated real-world networks. Significant main effects and interactions were evaluated in a systematic manner using a test bed that combined microscopic traffic simulation and a model of a WLT-based monitoring system. The results revealed several important issues to be considered when designing and implementing a WLT-based monitoring system. The selection of parameters such as the number of vehicles tracked and frequency between readings needs to be tailored to handle localized traffic and geometric conditions. The results showed that well-designed monitoring systems could produce accurate results although there were some situations where performance could be improved. Guidelines for the design and use of WLT-based systems were generated, and future avenues to improve system performance were noted.


Probe Sampling Strategies for Traffic Monitoring Systems Based on Wireless Location Technology

Probe Sampling Strategies for Traffic Monitoring Systems Based on Wireless Location Technology

Author: Michael D. Fontaine

Publisher:

Published: 2007

Total Pages: 64

ISBN-13:

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Transportation agencies have become very interested in traffic monitoring systems based on wireless location technology (WLT) since they offer the potential of collecting travel time data across a wide portion of the road system. Prior tests of WLT-based systems have been unsuccessful, in part because they have treated the road network as a homogeneous entity. This "area-wide" method has inherent limitations, causing congested roadways to be over sampled and uncongested and low volume roads to be under sampled. This project developed a methodology to estimate sampling parameters based on localized traffic conditions in the network, termed a "zonal approach." In zonal WLT systems, the roadway network is disaggregated into smaller areas, termed "zones," based on cellular coverage areas. In this research, two zonal sampling strategies were examined and tested using three simulated networks. When the road network is complex, the zonal priority sampling strategy was found to distribute probes throughout the network and produced a larger number of speed estimates on uncongested and low volume roads. Moreover, the zonal priority strategy improved speed estimation accuracy by 10 percent over the other two sampling strategies. For networks with simple geometry or uniform congested traffic conditions, there were no significant differences among the sampling strategies. The results of this research indicate that the homogeneous approach used by earlier deployments has limitations, and results could be potentially improved by tailoring sampling parameters to a more localized level.


Statistical Validation of Speeds and Travel Times Provided by a Data Services Vendor

Statistical Validation of Speeds and Travel Times Provided by a Data Services Vendor

Author:

Publisher:

Published: 2010

Total Pages: 316

ISBN-13:

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The provision of real-time traffic and travel time information is becoming increasingly important in urban areas as well as in freight-significant intercity corridors. However, the high cost to install and maintain roadway-based traffic sensors has prevented widespread availability of real-time traffic information in these areas. A market for real-time traffic information is emerging in the United States and several private companies are gathering and distributing traffic information independently of public sector transportation agencies. In this study floating car, probe data, and newly developed Bluetooth device matching methods are developed and used to collect travel times and speeds for 103 centerline miles located in Dayton, Ohio. This reference data are then statistically evaluated with a data service vendor's reported travel times and speeds for 36 travel time segments.


Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking

Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking

Author: Mao, Guoqiang

Publisher: IGI Global

Published: 2009-05-31

Total Pages: 526

ISBN-13: 1605663972

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Wireless localization techniques are an area that has attracted interest from both industry and academia, with self-localization capability providing a highly desirable characteristic of wireless sensor networks. Localization Algorithms and Strategies for Wireless Sensor Networks encompasses the significant and fast growing area of wireless localization techniques. This book provides comprehensive and up-to-date coverage of topics and fundamental theories underpinning measurement techniques and localization algorithms. A useful compilation for academicians, researchers, and practitioners, this Premier Reference Source contains relevant references and the latest studies emerging out of the wireless sensor network field.


Recent Developments in Mechatronics and Intelligent Robotics

Recent Developments in Mechatronics and Intelligent Robotics

Author: Srikanta Patnaik

Publisher: Springer Nature

Published: 2020-03-04

Total Pages: 892

ISBN-13: 9811502382

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This book gathers selected papers presented at the Third International Conference on Mechatronics and Intelligent Robotics (ICMIR 2019), held in Kunming, China, on May 25–26, 2019. The proceedings cover new findings in the following areas of research: mechatronics, intelligent mechatronics, robotics and biomimetics; novel and unconventional mechatronic systems; modeling and control of mechatronic systems; elements, structures and mechanisms of micro- and nano-systems; sensors, wireless sensor networks and multi-sensor data fusion; biomedical and rehabilitation engineering, prosthetics and artificial organs; artificial intelligence (AI), neural networks and fuzzy logic in mechatronics and robotics; industrial automation, process control and networked control systems; telerobotics and human–computer interaction; human–robot interaction; robotics and artificial intelligence; bio-inspired robotics; control algorithms and control systems; design theories and principles; evolutional robotics; field robotics; force sensors, accelerometers and other measuring devices; healthcare robotics; kinematics and dynamics analysis; manufacturing robotics; mathematical and computational methodologies in robotics; medical robotics; parallel robots and manipulators; robotic cognition and emotion; robotic perception and decisions; sensor integration, fusion and perception; and social robotics.