title: Estimating waste transfer station delays using GPS.
abstract: This paper examines the use of on-board global positioning system (GPS) data recorders as a method to collect field data on the movements of solid waste collection vehicles at transfer stations. The movements of five waste collection vehicles using four different transfer facilities were compared over a period of 1 year. The spatial data were analyzed using geofences to determine the amount of time each truck spent on each of four activities: queuing for access to the weigh scale, sitting on the weigh scale, queuing for access to the tipping floor, and unloading waste. The study found that queuing delays can be identified and measured using GPS data. The average time at a facility for all trucks was 16.4 min per visit, with a standard deviation of 14.3 min. Time at the facility ranged between 2 and 111 min per visit and the distribution of time at the facility was positively skewed. Multi-compartment vehicles (co-collection and recycling trucks) spent significantly more time at unloading facilities. There were also significant differences in the length and the location of the queues at different facilities. At one facility, the longest delays were encountered while waiting for the weigh scale, at two facilities trucks experienced delays in obtaining access to the tipping floor, while at the fourth facility no significant delays developed.
authors.affiliation: University of New Brunswick, Department of Civil Engineering, P.O. Box 4400, Frederticton, New Brunswick, Canada E3B5A3. wilsonbg@unb.ca
authors.forename: Bruce Gordon
authors.initials: BG
authors.lastname: Wilson
authors.forename: Julie K
authors.initials: JK
authors.lastname: Vincent
mesh_terms: D040362:Geographic Information Systems; D008962:Models, Theoretical; D009010:Monte Carlo Method; D018986:Motor Vehicles; D013997:Time Factors; D014186:Transportation; D018505:Waste Management / Q000592:standards*