Design of an integrated transit monitoring system based on radio frequency identification

Rossetti, Manuel D.; Turitto, Timothy

doi:10.1504/ijstm.2000.001572

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…There is evidence that mass transit has advantages over car commuting in the level of stress experienced by the commuter (Evans, Wener, & Phillips, 2002;Wener, Evans, & Boately, 2005;Wener, Evans, Phillips, & Nadler, 2003) because, in part, of reduced levels of effort and better predictability of the trip. Predictability may be amenable to relatively modest technological and management approaches that increase on-time performance (Chang & Xu, 2000;Dessouky, Hall, Nowroozi, & Mourikas, 1999;Rossetti & Turitto, 2000).…”

Section: Discussionmentioning

confidence: 99%

A Morning Stroll

Wener

Evans

2007

Environment and Behavior

116

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Walking as part of the commute has been suggested as a source of healthful moderate activity, although there has been little empirical study to verify this supposition or determine whether one mode is superior to others. This cross-sectional study assessed differences between car and train commuters in level of physical activity. One hundred eleven train and car commuters were asked to wear a pedometer for one week of commuting on their regular route plus complete a standardized self-report physical activity index. Train commuters walked an average of 30% more steps per day, reported having walked for a period of 10 minutes or more while traveling significantly more often, and were 4 times more likely to walk 10,000 steps per day than car commuters. Transportation mode can significantly affect the amount of physical activity commuters accumulate during the course of a typical work day without planned or coordinated exercise programs.

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Section: Discussionmentioning

confidence: 99%

A Morning Stroll

Wener

Evans

2007

Environment and Behavior

116

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“…To date, almost GBP $50 million has been spent developing the system (GIS Development 2004). AVL systems are also being integrated with automatic passenger count (APC) systems to provide information on boardings and alightings and passenger kilometres of travel (Rossetti and Turitto 2000).…”

Section: Background: Difficulties Of Measuring On-time Runningmentioning

confidence: 99%

Using GPS Technology to Measure On-Time Running of Scheduled Bus Services

Bullock¹,

Jiang²,

Stopher³

2005

JPT

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Origin–destination matrices from smartphone apps for bus networks

Barabino,

Coni,

Di Francesco

et al. 2024

Public Transp

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The knowledge of passenger flows between each origin–destination (OD) pair is a main requirement in public transport for service planning, design, operation, and monitoring, and is represented by OD matrices. Although they can be determined by traditional approaches (e.g., surveys, ride-check counts, and/or smartcard-based methods), the availability of new technologies and the proliferation of portable devices triggers an emerging interest in building OD matrices from the apps of bus operators. This research proposes the first framework for the estimation of OD matrices on transit networks by processing smartphone app call detail records (SACDRs). The framework is experimentally tested on a sample of 30 workdays of an Italian bus operator. The results are represented by easy-to-read control dashboards based on maps, which help quantify and visualise the OD matrices in the metropolitan area of Cagliari (Italy). The experimentation shows that the framework can properly estimate the number of trips for both origin and destination w.r.t. OD matrices built from household surveys: the mean absolute error is on average lower than five movements for 90% of the origins and 85% of the destinations.

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Design of an integrated transit monitoring system based on radio frequency identification

Cited by 4 publications

References 6 publications

A Morning Stroll

A Morning Stroll

Using GPS Technology to Measure On-Time Running of Scheduled Bus Services

Origin–destination matrices from smartphone apps for bus networks

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