Performance Evaluation and Correction Functions for Automated Pedestrian and Bicycle Counting Technologies-Reference-Cited by-同舟云学术

Performance Evaluation and Correction Functions for Automated Pedestrian and Bicycle Counting Technologies

Published:2016-03 Issue:3 Volume:142 Page:04016002
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Proulx Frank R.¹,Schneider Robert J.²,Miranda-Moreno Luis F.³

Affiliation:

1. Graduate Student Researcher, Univ. of California, Berkeley, Safe Transportation Research and Education Center, 2614 Dwight Way #7374, Berkeley, CA 94720-7374 (corresponding author).

2. Assistant Professor, Dept. of Urban Planning, Univ. of Wisconsin-Milwaukee, 2131 E. Hartford Ave., Milwaukee, WI 53211.

3. Assistant Professor, Dept. of Civil Engineering and Applied Mechanics, McGill Univ., Macdonald Engineering Bldg., 817 Sherbrooke St. West, Montréal, QC, Canada H3A 2K6.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29TE.1943-5436.0000828

Reference29 articles.

1. Monitoring visitors to natural areas in wintertime: issues in counter accuracy

2. Brosnan M. Petesch M. Pieper J. Schumacher S. and Lindsey G. (2015). “Validation of bicycle counts from pneumatic tube counters in mixed traffic flows.” 94th Annual Meeting of the Transportation Research Board Transportation Research Board Washington DC.

3. CDM Research. (2013). “Evaluation of automatic cyclist counters.” ARRB Group and Dept. of Transport and Main Roads QLD Australia.

4. FHWA (Federal Highway Administration). (2013). “Traffic monitoring guide.” U.S. Dept. of Transportation Washington DC.

5. Government of Canada. (2014). “Historical climate data.” 〈http://climate.weather.gc.ca/〉. (Aug. 31 2014).

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating daily bicycle counts with Strava data in rural and urban locations;Travel Behaviour and Society;2024-01

2. Quality Assurance Methods for Hourly Nonmotorized Traffic Counts;Transportation Research Record: Journal of the Transportation Research Board;2023-06-30

3. Dynamic Graph Convolutional LSTM application for traffic flow estimation from error-prone measurements: results and transferability analysis;2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA);2021-10-06

4. Dynamic Graph Convolutional LSTM application for traffic flow estimation from error-prone measurements: results and transferability analysis;2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA);2021-10-06

5. An integrated approach to monitoring and estimating COVID-19 risk exposure among leisure-time physical activity participants;Journal of Transport & Health;2021-09