Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18482
Title: Spatial and temporal aggregation analysis for space-mean speed estimates using autoscope video detection data
Authors: Wu, Z
Lam, WHK 
Tam, ML
Keywords: Autoscope Video Detection System space aggregation interval
Space-mean speed
Time aggregation interval
Time-mean speed
Issue Date: 2010
Source: Proceedings of the Conference on Traffic and Transportation Studies, ICTTS, 2010, v. 383, p. 872-881 How to cite?
Abstract: Space-mean speed is an important indicator of road network performance in traffic operations and management. To collect travel time and speed data, video detectors or loop detectors are usually deployed. However, most detectors, such as Autoscope Video Detection System, measure spot speed or time-mean speed directly but not the space-mean speed over a section of roadway. An approximation method, which is commonly used to estimate space-mean speeds, is based on the average speed of vehicles traveling on a given segment of roadway during a specified period of time. However, such segment of roadway and specified period of time (refer to spatial and temporal aggregations) have significant effects on the estimation of space-mean speed. This paper investigates the effects of spatial and temporal aggregations of Autoscope data on the estimation of space-mean speeds with different length of measurement sections (5m, 10m, 15m and 20m) and measurement time intervals (20s, 30s, 60s and 120s). The results show that the space-mean speed can be better estimated by Autoscope data using 10m measurement section with a time interval of 120s.
Description: 7th International Conference on Traffic and Transportation Studies, (ICTTS 2010), Kunming, 3-5 August 2010
URI: http://hdl.handle.net/10397/18482
ISBN: 9780784411230
DOI: 10.1061/41123(383)82
Appears in Collections:Conference Paper

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