Automated pedestrian counter : final report, February 2010.
-
2010-02-01
Details
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Corporate Publisher:
-
Abstract:Emerging sensor technologies accelerated the shift toward automatic pedestrian counting methods to ; acquire reliable long-term data for transportation design, planning, and safety studies. Although a ; number of commercial pedestrian sensors are available, their accuracy under different pedestrian ; traffic flow conditions is still questionable. Moreover, it is difficult to assess the suitability of different ; sensors for different locations. Some sensors claimed to be more accurate are substantially more ; expensive. Ease of deployment, power requirements, and long-term deployment issues all play an ; important role in the selection of sensors. This study attempts to shed light on the understanding of ; field performance of two commercially available automatic pedestrian sensors by performing rigorous ; comparisons—namely, a passive infrared counter by EcoCounter and a thermal sensor by TrafSys. A ; major innovation of this study was to simultaneously deploy the two relatively different sensor ; technologies—thermal and infrared sensors—under the same experimental conditions to compare ; their performances. To achieve this in a statistically robust manner, pairwise tests were conducted at ; trails and intersections with different pedestrian flow levels and characteristics. Statistically significant ; differences in terms of accuracy were found. The thermal sensor was found to produce less error ; than EcoCounter, which significantly undercounted pedestrians at intersections. This result was ; expected since EcoCounter is recommended for trail settings. The results also demonstrated the ; variability of both sensors given different deployment conditions. A calibration procedure for the ; EcoCounter data was also presented.
-
Format:
-
Download URL:
-
File Type:
-
Collection(s):
-
Main Document Checksum:urn:sha-512:f7d971f4a2a12e1f8a3c1783dd022e81c6f020def1d4617622f1661213d429c798b79cb90eb84fa39903e9e5d1ac1c305b1c85acc30bd9514231083297f14ae7