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NDSU Dept. 2880 – Fargo, ND 58108
Tel 701-231-8058 – Fax 701-231-1945
www.ugpti.org – www.atacenter.org
April 2009
Non-Intrusive Traffic Detection
Comparison Study
Final Report
Prepared for:
North Dakota Department of Transportation
Prepared by:
Advanced Traffic Analysis Center
Upper Great Plains Transportation Institute
North Dakota State University
Fargo, North Dakota
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Shrnutí obsahu

Strany 1 - Final Report

 NDSU Dept. 2880 – Fargo, ND 58108 Tel 701-231-8058 – Fax 701-231-1945 www.ugpti.org – www.atacenter.org April 2009 Non-Intrusive Traff

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Page 9  Figure 5. Sign-Mounted Sensors RESULTS Several different comparisons were conducted for this study, which include volume, speed, and v

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Page 10 Table 2. Lane Volume Comparison Lanes Date Manual SS 105 SS HD RTMSATR SS HD S.M. SS 105 S.M.Count Vol. Diff. Vol. Diff. Vol. Diff.

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Page 11 Table 3. Directional Sensor Volume Comparison Lanes Date Manual Count SS 105 SS HD RTMS ATR SS HD S.M. SS 105 S.M.Vol. Diff. Vol. D

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Page 12 RTMS speed data. The two SmartSensors’ speed data are similar and realistic, but the RTMS data was significantly different, which was hi

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Page 13 Table 6. Vehicle Length Classification Comparison Small Vehicles Volumes Difference Lane Manual SS 105 SS HD RTMS SS 105 SS HD RTMS

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Page 14 Table 7. Vehicle Length Classification Comparison 10/1/08 Small Vehicles Volumes Difference Lane Manual SS 105 SS HD RTMS ATR SS

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Page 15 Compared to manual counts on the same day, total volume inaccuracies of SmartSensor 105 using the tripod and sign-mount sytems were 2% a

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Page 16 compared to manually collected data (0% to 6% for small vehicles, -67% to 36% for medium vehicles, and -70% to 100% for large vehicles).

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 REFERENCES 1. Dudek, Conrad L.; Suennen, Mark D.; A Traffic Detection Toolkit for Traveler Information Systems. Texas A&M University, Aug

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  APPENDIX A: SENSOR CONFIGURATION/CALIBRATION GUIDES

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Page 1 BACKGROUND Obtaining accurate and timely traffic data is essential to successful transportation operations/planning projects. Several met

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Page 1 SmartSensor 105 Installation and Configuration I. Connect to sensor a. Connect the SmartSensor cable to the battery using the positive a

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Page 2 ¾ RF Channel – In case there are multiple SmartSensors in close proximity, the user should assign each sensor a different RF Channel. Thi

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Page 1 SmartSensor HD Installation and Configuration I. Connect to sensor a. Connect the SmartSensor HD cable to the battery using the positive

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Page 2 IV. Lane verification 1. From the “Lane Setup” menu, select “Lane Verification” 2. Side bars on either side of the “Lane Verification” w

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Page 1 RTMS Installation and Configuration I. Connect to sensor a. Connect the RTMS cable to the battery using the positive and negative batter

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Page 2 e. Do not increase sensitivity to compensate for improper alignment f. Click OK when finished V. If vehicles are inaccurately detected

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Page 3 ¾ High resolution occupancy provides occupancy measurements with 0.1% resolution instead of the default 1% resolution ¾ 6 foot emulation

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Page 4  Figure 2. RTMS Data Download III. Open the RTC Utility program on the laptop IV. Click DOWNLOAD V. Choose a locat

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Page 2  Several benefits exist for using radar for traffic detection. Radar sensors are relatively easy to set up and operate, and they have bee

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Page 3 classification for up to 8 lanes of traffic. Vehicle classification is user-defined and can be divided into three length-based classes.

Strany 23 - Data Collection and Download

Page 4  Table 1. Sensor Height/Offset Requirements Offset From First Detection Lane (ft) Recommended Mounting Height (ft) SS105 SS125 RTM

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Page 5 structure can be set up and taken down in approximately 15 minutes, and all of the components are small enough to be stored in a 6 ft (wid

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Page 6  Figure 2. Vehicle Classification Length Ranges (sources 4-9)

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Page 7 The study location also includes an existing Automatic Traffic Recorder (ATR), which uses a series of inductive loops to collect data on v

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 The initiarequired and overexceptionwithin 3-4on the am Figure 4 DetectioTo assistthe interswere initineeded tdue to unthat seveThe durathe amouO

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