11th International Conference on High-Occupancy Vehicle Systems: Conference Proceedings PDF Download
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Author: Katherine F. Turnbull
Publisher:
ISBN:
Category :
Languages : en
Pages : 180
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Book Description
Author: Katherine F. Turnbull
Publisher:
ISBN:
Category :
Languages : en
Pages : 180
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Book Description
Author: Katherine F. Turnbull
Publisher:
ISBN:
Category : High occupancy vehicle lanes
Languages : en
Pages : 115
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Book Description
Author:
Publisher:
ISBN:
Category : High occupancy vehicle lanes
Languages : en
Pages : 122
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 200
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Author: K. F. Turnbull
Publisher:
ISBN:
Category :
Languages : en
Pages : 120
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 545
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Book Description
Explores a supervised learning approach using neural networks and learning classifier systems (LCSs). Develops a neural network based learner, termed Task Allocation Fitness Evaluator (TAFE), for learning task allocations from an expert online in a multi-agent domain. Introduces an innovative loan-based bidding strategy in LCSs. Allows classifiers in the match set that satisfied the criteria to receive loans from a bank during auctions.
Author: British Library. Document Supply Centre
Publisher:
ISBN:
Category : Conference proceedings
Languages : en
Pages : 870
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Author: Brennan Kidd
Publisher:
ISBN:
Category : Express highways
Languages : en
Pages : 140
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Book Description
The findings of the study are two-fold: the results of what forms of multi-modal travel are used by other states and the results of the case study. Many states employ or are planning high occupancy vehicle (HOV) lanes (of all forms/types, but primarily of the concurrent flow variety) for use in urban freeway settings. High occupancy/toll (HOT) lanes were in the planning stages according to about half of the survey respondents while bus rapid transit (BRT) was being considered by two-thirds of the departments responding. Light rail transit (LRT) was only listed in 33% of the responses as being currently in use. HOT Lanes, Exclusive-Use Lanes, By-pass/Separation Lanes, Dual Facilities, and LRT had the highest number of responses for not being used as a multi-modal application within a freeway corridor. The SR 51 case study relied on existing data, modeled situations, and cost estimates to determine the most cost effective choice for multi-modal travel. Existing volume data was provided by Arizona Department of Transportation's Freeway Management System (FMS) and supplemented by a microsimulation study previously conducted for the Arizona Department of Transportation concerning the operations of the existing HOV lanes. Cost data was coalesced from literature review material and transportation data sources exclusive to Arizona. The computations factored in traffic flows under different freeway scenarios depicting different forms of multi-modal travel that would be reasonable for the SR 51 freeway. The results, ranked from most cost-effective to least cost-effective, are as follows (Note: "GP" refers to general purpose lane, and the ranges of cost values are due to different calculation methods for the projected volume by mode): (1) HOT Lane ($0.012 to $0.027 per person-mile) (2) Fourth GP Lane ($0.019 to $0.042 per person-mile) (3) HOV (w/BRT) Lane ($0.026 to $0.057 per person-mile) (existing condition) (4) Exclusive BRT Lane ($0.066 to $0.147 per person-mile) (5) Light Rail Transit ($0.161 to $0.358 per person-mile).
Author: Katherine F. Turnbull
Publisher:
ISBN:
Category : High occupancy vehicle lanes
Languages : en
Pages : 62
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Book Description
Author: Wuhong Wang
Publisher: Springer Nature
ISBN: 9811654298
Category : Technology & Engineering
Languages : en
Pages : 841
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Book Description
These proceedings gather selected papers from the 11th International Conference on Green Intelligent Transportation Systems and Safety, held in Beijing, China on October 17-19, 2020. The book features cutting-edge studies on Green Intelligent Mobility Systems, the guiding motto being to achieve “green, intelligent, and safe transportation systems”. The contributions presented here can help promote the development of green mobility and intelligent transportation technologies to improve interconnectivity, resource sharing, flexibility and efficiency. Given its scope, the book will benefit researchers and engineers in the fields of Transportation Technology and Traffic Engineering, Automotive and Mechanical Engineering, Industrial and System Engineering, and Electrical Engineering alike. The readers will be able to find out the Advances in Green Intelligent Transportation System and Safety.
