Estimation of Bus Dwell Times with Automatic Passenger Counter Information

Abstract

The average passenger boarding and alighting times and bus dwell times at stops are important information for estimating transit service capacities. Bus dwell time directly affects vehicle travel time, and thus the fleet size required to provide service based on scheduled headway is affected. Research focused on estimating bus dwell time and the impact of boarding and alighting passengers on dwell time. In addition, the effect of standees, time of day, and service type on bus dwell time was investigated. The data were recently collected from an archived database, within which automatic passenger counter information was recorded. The dwell times and passenger counts were recorded daily during 2001 and the first 6 months of 2002. The bus dwell time and average passenger boarding and alighting time at stops are explained using descriptive statistics.

The Impact of Bus Door Crowding on Operations and Safety

“…Examples of measures in the different studies include the gross number of passengers onboard (Zografos and Levinson 1986), the gross number of standing passengers (Lin and Wilson 1992), a "friction" factor based on the number of standing passengers (Dueker et al 2004), a categorical measure of the volume (Fritz 1983) and load factors (Aashtiani and Iravani 2002;Rajbhandari et al 2003). Load factor, however, which is often tracked by transit agencies, is not always effective in capturing what is occurring on-board because it relates to the number of seats and, thus, a large load factor could indicate a very crowded bus or a bus with few seats (Seattle DOT 2007).…”

Untitled

“…Duekar et al (2004) analyzed dwell times with respect to bus door widths, and Li et al (1971) formulated a model to study DT based on preferences of doors among passengers. Rajbhandari et al (2003) studied DT on a large data set obtained by Automatic Vehicle Location (AVL) data, and Tirachini (2013) studied techniques for payment of fares to reduce DT in buses. Curie et al (2013) The literature summarizes various equations that were improved with time to estimate DT for both in-series and simultaneously-occurring B&A.…”

Akteursorientierte multimodale Straßenverkehrssimulation

“…Fußgänger können an Bushaltestellen zu-und aussteigen [Meignan et al, 2006, Meignan et al, 2007. Die hierfür benötigten Zeiten hängen hauptsächlich von der Anzahl an zu-und aussteigenden Fahrgästen ab [Rajbhandari et al, 2003, Dueker et al, 2004. In [Ni, 2006] wird ein historischer Abriss über Verkehrssimulationsarten gegeben.…”