Fuel Consumption Estimation and Optimal Traffic Signal Timing PDF Download
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Author: Tsai-Yun Liao
Publisher:
ISBN:
Category : Air
Languages : en
Pages : 190
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Book Description
The objectives of this report are to develop an analytical model to estimate fuel consumption and to investigate the effects of signal timing on fuel consumption. Several numerical experiments, including a variety of geometric configurations, traffic conditions, and signal timing are conducted to test the AFCM estimation capability and to investigate the effects of signal timing on fuel consumption. The results from these experiments indicate that total fuel consumption, with respect to signal cycle time, possesses a convex pattern. In order to analytically establish the relationship between fuel consumption and signal timing, a three-term form is reduced from the AFCM to represent major effects of vehicle characteristics, traffic behavior, and fuel consumption parameters on optimal cycle length. The first term represents vehicle ideal fuel consumption, the second term describes vehicle fuel consumption during acceleration after a stop, and the third term accounts for stochastic effects. Numerical analysis and comparisons show that the optimal cycle lengths from the expression are rather close to those from the AFCM.
Author: Tsai-Yun Liao
Publisher:
ISBN:
Category : Air
Languages : en
Pages : 190
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Book Description
The objectives of this report are to develop an analytical model to estimate fuel consumption and to investigate the effects of signal timing on fuel consumption. Several numerical experiments, including a variety of geometric configurations, traffic conditions, and signal timing are conducted to test the AFCM estimation capability and to investigate the effects of signal timing on fuel consumption. The results from these experiments indicate that total fuel consumption, with respect to signal cycle time, possesses a convex pattern. In order to analytically establish the relationship between fuel consumption and signal timing, a three-term form is reduced from the AFCM to represent major effects of vehicle characteristics, traffic behavior, and fuel consumption parameters on optimal cycle length. The first term represents vehicle ideal fuel consumption, the second term describes vehicle fuel consumption during acceleration after a stop, and the third term accounts for stochastic effects. Numerical analysis and comparisons show that the optimal cycle lengths from the expression are rather close to those from the AFCM.
Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 760
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Author:
Publisher:
ISBN:
Category : Traffic engineering
Languages : en
Pages : 666
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Author: Zhihong Qian
Publisher: Springer Nature
ISBN: 9819939518
Category : Technology & Engineering
Languages : en
Pages : 849
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Book Description
This proceedings includes original, unpublished, peer-reviewed research papers from the International Conference on Wireless Communications, Networking and Applications (WCNA2022), held in Wuhan, Hubei, China, from December 16 to 18, 2022. The topics covered include but are not limited to wireless communications, networking and applications. The papers showcased here share the latest findings on methodologies, algorithms and applications in communication and network, making the book a valuable asset for professors, researchers, engineers, and university students alike.
Author: William A. Stimpson
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 24
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Author: Peter Davies
Publisher: Transportation Research Board
ISBN: 9780309048637
Category : Transportation
Languages : en
Pages : 108
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Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 1282
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Book Description
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Author: Dinesh G. Harkut
Publisher: BoD – Books on Demand
ISBN: 1839690860
Category : Computers
Languages : en
Pages : 140
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Book Description
Algorithms, particularly those embedded in search engines, social media platforms, recommendation systems, and information databases, play an increasingly important role in selecting what information is most relevant to us, which is a crucial feature of our participation in public life. These algorithms are not just helpful in our daily lives but are also one of the unavoidable necessities of modern living. This book discusses advances and applications of various types of search algorithms, such as quantum search, harmony search, cognitive search, genetic search, and many others. It is a valuable resource and provides a solid technical base for frontline investigations of search algorithms for scientists and students interested in search and optimization methods.
Author: Maciej Paszynski
Publisher: Springer Nature
ISBN: 3030779610
Category : Computers
Languages : en
Pages : 815
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Book Description
The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter “Deep Learning Driven Self-adaptive hp Finite Element Method” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 508
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Book Description
