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Author: Julius Codjoe
Publisher:
ISBN:
Category : Civil engineering
Languages : en
Pages : 75
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Author: Julius Codjoe
Publisher:
ISBN:
Category : Civil engineering
Languages : en
Pages : 75
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Author: Shawn Turner
Publisher:
ISBN:
Category : Global Positioning System
Languages : en
Pages :
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In this study, the Texas A&M Transportation Institute (TTI) conducted an independent, follow-up evaluation of StreetLight Data’s 2019 traffic count estimates using MnDOT sources of traffic count data. At 442 permanent benchmark locations, TTI found that average annual daily traffic ( AADT) estimation accuracy by StreetLight Data has improved significantly since the 2017 evaluation, especially in moderate- to high-volume categories (i.e., more than 10,000 AADT). The mean absolute error ranged from 8% to 10% for locations greater than 10,000 AADT and gradually increased to 42% for sites with less than 1,000 AADT. TTI also found significant overestimation bias for low-volume roadways (i.e., less than 2,500 to 5,000 AADT). This result was present in the permanent benchmark sites and more pronounced in the 265 short-duration count sites. Based on these findings, TTI recommends that MnDOT consider a phased approach to using probe-based traffic count estimates: 1) Continue to maintain MnDOT permanent counter sites; 2) start using probe-based counts for about 90% of the moderate- to high-volume roadways (20,000 or more AADT); 3) continue to use traditional short-duration counts at the remaining 10% of the moderate- to high-volume roadways as a spot check to ensure that probe-based AADT estimates remain within acceptable tolerances in the next five to ten years; 4) periodically monitor the error of AADT estimates on low- to moderate-volume roadways (less than 20,000 AADT); and 5) once acceptable error tolerances for these lower-volume categories are reached, repeat Step 2 for these lower-volume categories.
Author: Shawn Turner
Publisher:
ISBN:
Category : Global Positioning System
Languages : en
Pages : 26
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In this project, TTI worked with StreetLight Data to evaluate a beta version of its traffic volume estimates derived from global positioning system (GPS)-based mobile devices. TTI evaluated the accuracy of average annual daily traffic (AADT) volume estimates as well as average annual hourly volume (AAHV) estimates from Streetlight Data using actual volume counts from MnDOT traffic monitoring sites. Traffic volume estimation from mobile devices has potential, but analytic enhancements are needed to improve accuracy and granularity of estimated traffic volumes. Some of the AADT volume estimates from StreetLight Data were within acceptable error ranges (10% to 20% absolute percent error), but other estimates were significantly outside this acceptable error range (greater than 100% absolute percent error). Lower volume roadways had the highest errors, presumably due to lower mobile device sample sizes. The AAHV evaluation results at 12 non-public MnDOT sites reinforce the need for analytic improvements, as these results showed higher error (49% mean absolute percent error) than the results at the 69 public permanent sites (39% mean absolute percent error).
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 512
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Author: Cambridge Systematics
Publisher:
ISBN: 9780309390354
Category : Cell phone systems
Languages : en
Pages : 143
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Author: Kian-Lee Tan
Publisher: Springer
ISBN: 354044498X
Category : Computers
Languages : en
Pages : 283
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Book Description
Welcome to the Second International Conference on Mobile Data Management (MDM2001). The conference serves as a forum for the exchange of technical ideas and research results in the areas of mobility and database management. This year, we have a very exciting program for MDM2001. Many quality papers were submitted to the conference. All of the submitted papers were - viewed by at least three PC members. Due to the limitations of the program schedule as well as the desire to organize the conference using a single track format, we selected only 18 papers for full presentation at the conference. As a result many excellent papers could not be accepted. The papers chosen for presentation span a large range of topics, from n- work protocol issues up to the semantics of mobile applications. The common theme of all these papers is their recognition of the central role played by data managementtechniques in the developmentof the emerging worldof mobile and wireless applications. We have loosely organized these papers into six areas: 1. DATA MANAGEMENT ARCHITECTURES, 2. CONTENT DELIVERY, 3. DATA BROADCASTING, 4. CACHING AND HOARDING, 5. COPING WITH MOVEMENT, 6. NETWORKS AND SYSTEMS ISSUES In addition to the researchtrack, we havesought to broaden the scope of the conference with an industrial session as well as poster presentations. Overall, the program strikes a comfortable balance between applied and theoretically oriented papers.
Author: Mary Catherine Arico
Publisher:
ISBN:
Category :
Languages : en
Pages : 582
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Author: Juan Carlos Herrera
Publisher:
ISBN:
Category : Cell phones
Languages : en
Pages : 26
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Author: Yan Huang
Publisher:
ISBN:
Category : Smartphones
Languages : en
Pages : 77
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Author:
Publisher:
ISBN:
Category : Military research
Languages : en
Pages : 614
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