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Author: Ping Yi Publisher: ISBN: Category : Signalized intersections Languages : en Pages :
Book Description
Today many intersections are operated based on data input from nonintrusive video detection systems. With those systems the video detectors can be easily deployed/modified for different application requirements. This research project is initiated to improve the convenience and coverage and reduce cost in turning movement data collection, by taking advantage of the existing video detection system at signalized intersections. This research involves hardware design and algorithm testing, where an automatic turning movement identification system (ATMIS) is developed to interface the current signal control system at each intersection. The ATMIS is tested in different scenarios with variations in intersection configuration and weather conditions. The turning movement data obtained from the system are compared with the ground truth by watching the synchronous video. While the average accuracy level in the first phase of tests for most intersection movements reached 90%, additional improvements in the algorithm and hardware design to handle large-sized vehicles, irregular geometrics and pedestrians, have further advanced the data accuracy to be over 95% for the entire intersection. The major problem leading to the errors is due to turning buses at small intersections, where the size of vehicles can cause false detections. We found an effective solution to this problem by adjusting the camera angle or height, but it was not done for every such case partly because it adds to the busy daily work for the city engineers and partly due to the low volume for the turning movements at small intersections, where the error can be contained in the ADT data. It has been demonstrated that the ATMIS algorithm can effectively address variations in geometrics within the scope of this project, with no obvious degrading impact on the accuracy level by normal rain and snow.
Author: Ping Yi Publisher: ISBN: Category : Signalized intersections Languages : en Pages :
Book Description
Today many intersections are operated based on data input from nonintrusive video detection systems. With those systems the video detectors can be easily deployed/modified for different application requirements. This research project is initiated to improve the convenience and coverage and reduce cost in turning movement data collection, by taking advantage of the existing video detection system at signalized intersections. This research involves hardware design and algorithm testing, where an automatic turning movement identification system (ATMIS) is developed to interface the current signal control system at each intersection. The ATMIS is tested in different scenarios with variations in intersection configuration and weather conditions. The turning movement data obtained from the system are compared with the ground truth by watching the synchronous video. While the average accuracy level in the first phase of tests for most intersection movements reached 90%, additional improvements in the algorithm and hardware design to handle large-sized vehicles, irregular geometrics and pedestrians, have further advanced the data accuracy to be over 95% for the entire intersection. The major problem leading to the errors is due to turning buses at small intersections, where the size of vehicles can cause false detections. We found an effective solution to this problem by adjusting the camera angle or height, but it was not done for every such case partly because it adds to the busy daily work for the city engineers and partly due to the low volume for the turning movements at small intersections, where the error can be contained in the ADT data. It has been demonstrated that the ATMIS algorithm can effectively address variations in geometrics within the scope of this project, with no obvious degrading impact on the accuracy level by normal rain and snow.
Author: Joseph Baker Publisher: Taylor & Francis ISBN: 1317359844 Category : Sports & Recreation Languages : en Pages : 527
Book Description
Identifying athletic talent and developing that talent to its full potential is a central concern in sport. Understanding talent identification and its implications for both positive and negative developmental outcomes is crucial to sporting success. This is the first comprehensive resource for scientists, researchers, students, coaches, analysts and policymakers looking to improve their knowledge of the talent identification and development process. With contributions from leading researchers and practitioners, this book offers a complete overview of contemporary talent identification and development from in-depth discussion of methodological and philosophical issues through to practical applications. Adopting an international and multi-disciplinary approach, it addresses all key aspects of the talent identification and development process, including skill acquisition and motor learning, psychological factors and family influences, creating optimal environments for performance, and dealing with injury and rehabilitation. Presenting an unrivalled wealth of research, the Routledge Handbook of Talent Identification and Development in Sport is an essential resource for any undergraduate or postgraduate degree course in sport studies, sport science, sport coaching or sport management, as well as for sport policymakers, analysts and coaches.
Author: Lester A. Hoel Publisher: ISBN: Category : High technology Languages : en Pages : 82
Book Description
Current developments in the use of high technology in highway and traffic engineering and the use of high technology by state transportation agencies.
Author: Manfred Sailer Publisher: Language Science Press ISBN: 3961100632 Category : Bilingualism Languages : en Pages : 376
Book Description
Multiword expressions (MWEs) are a challenge for both the natural language applications and the linguistic theory because they often defy the application of the machinery developed for free combinations where the default is that the meaning of an utterance can be predicted from its structure. There is a rich body of primarily descriptive work on MWEs for many European languages but comparative work is little. The volume brings together MWE experts to explore the benefits of a multilingual perspective on MWEs. The ten contributions in this volume look at MWEs in Bulgarian, English, French, German, Maori, Modern Greek, Romanian, Serbian, and Spanish. They discuss prominent issues in MWE research such as classification of MWEs, their formal grammatical modeling, and the description of individual MWE types from the point of view of different theoretical frameworks, such as Dependency Grammar, Generative Grammar, Head-driven Phrase Structure Grammar, Lexical Functional Grammar, Lexicon Grammar.
Author: Ping Yi
Author: Ping Yi
Author: 
Author: 
Author: University of Texas at Austin. Center for Transportation Research
Author: Joseph Baker
Author: Lester A. Hoel
Author: Manfred Sailer 
Author: International Road Federation
Author: 
Author: