Bus dispatching irregularity and travel time dispersion

Comi, Antonio; Nuzzolo, Agostino; Brinchi, Stefano; Verghini, Renata

doi:10.1109/mtits.2017.8005632

Cited by 7 publications

(5 citation statements)

References 4 publications

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“…Finally, it has also been found that infrequent stop activity such as the operation of lifts increases headway variability as well (Albright & Figliozzi, 2012;El-Geneidy et al, 2011). (v) Traffic conditions and right of way: Congestion and incidents are one of the sources of travel time variability (Comi, Nuzzolo, Brinchi, & Verghini, 2017) and bunching (Byon et al, 2018). As travel time variability increases, headway variability is expected to increase as well.…”

Section: Determinants Of Headway Variabilitymentioning

confidence: 99%

Headway variability in public transport: a review of metrics, determinants, effects for quality of service and control strategies

Tirachini

Godachevich²,

Cats

et al. 2021

Transport Reviews

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The most relevant issues related to headway variability in public transport planning, operations and quality of service are reviewed in this paper. We discuss the causes and consequences of headway variability, the alternative metrics that have been proposed to measure it, the preventive and reactive strategies to control headway variability in both research and practice, including the role of drivers and of present and future technology, and how service provision contracts might deal with headway variability through metrics and financial incentives. The most influential elements that explain headway variability along a route are the irregularity at which vehicles are dispatched, the scheduled frequency, the distance travelled or route length, the passenger demand and associated dwell times, and the number of stops. We conclude that there is a large gap between the state-of-the-art and the state-of-practice in terms of identification of headway variability issues, as well as in the development of mitigation and control measures. It is therefore paramount that future research will contribute to closing this gap by addressing organisational, contractual and technological barriers in the implementation of measures aimed at mitigating headway variability in public transport services.

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Section: Determinants Of Headway Variabilitymentioning

confidence: 99%

Headway variability in public transport: a review of metrics, determinants, effects for quality of service and control strategies

Tirachini

Godachevich²,

Cats

et al. 2021

Transport Reviews

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“…Therefore, to improve the quality of public transport services it is necessary to focus on the following problem -how to accurately determine the travel time or dwelling time of buses. Determining bus travel time in real time has many advantages, including passenger planning [12][13][14][15][16][17], where trips are planned by calculating the duration of the trip to each destination and optimizing the route [18]. With this information system operators can design and adjust the data according to the estimated duration of the trip.…”

Section: Research Statementmentioning

confidence: 99%

“…On the buses travel time is influenced by various factors such as different weather conditions [11][12], time changes of peak and non-peak hours [6,[13][14][15], information about boarding passengers [3,11,16], traffic conditions in the mode real time [17][18]. Compared to the model based on GPS data, forecasting accuracy is improved by entering speed data and passenger data during rush hours on weekdays.…”

Section: Research Statementmentioning

confidence: 99%

Forecasting of urban buses dwelling time at stops

Zhuk¹,

Kovalyshyn²,

Hilevych³

2020

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Intelligent Transport Systems in urban conditions is one of the solutions to reduce congestion of vehicles and the amount of harmful emissions. An important component of ITS is the assessment of the duration of a public transport trip. It is necessary to focus on the study of the duration of the bus (the duration of traffic between stops and the dwelling time). In this paper, the authors focused on determining the dependence of the duration of buses at stops depending on the demand of passengers. The dwelling time of buses at stops is not considered independent of the duration of the journey. The duration of the bus is the periods of time when the buses wait at the stops, and the travel time, which is the duration of the bus between each two stops. The study was conducted on the bus route #3A in Lviv. To determine the dwelling time of the bus at stops, it is necessary to take into account information about passengers and the trajectory of buses. The obtained data can increase the accuracy of forecasting in different traffic situations in comparison with the most modern methods.

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“…Widening the discourse, analogous considerations hold for schedule-based bus operations, where a service is often considered on time if "it runs between a certain amount of minutes early and minutes late" [16], and punctuality is usually measured at the origin and at several stops along the route, in particular, at "regulation stops" [17], i.e., key stops along the route. Suitable punctuality indicators are defined for business models purposes [18], and a bonus/penalty system can be established [17] based on whether operators exceed or fall short of a pre-defined standard.…”

Section: Introductionmentioning

confidence: 99%

Delay Indices for Train Punctuality

Denti

Burroni

2023

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Indicators of expected quality of service in public contracts are often based on some kind of “punctuality”, usually defined in terms of the percentage of trains arriving at the final destination (and/or at intermediate significant stops) within a given delay. Passengers, however, tend to use the word “punctuality” with a more general meaning, mostly as a synonym for expected delay at their own destination, and especially in case of commuters are much less tolerant of even smaller delays than train operators would normally allow. In particular, measuring the delay only at the final destination is perceived as largely inadequate, leading to underestimation of the actual percentage of late trains, and in turn undermining passengers’ trust in official performance statistics. In this paper, we take the passengers’ perspective, introducing a family of delay indices called D-indices aimed at capturing the overall performance of a train “as a whole”, taking into account both the delays at the sampling points and the mutual location and order of such sampling points. In this paper, all indicators have the physical dimension of time in order to be easily replaceable to other delay measures. We first present typical approaches and definitions of punctuality in the literature, then introduce D-indices while exploring their features, pros and cons, and relevant properties. We validate and discuss our approach by comparing this model with existing approaches both theoretically and by comparison with selected datasets consisting of about one hundred trains transcribed over the last three years.

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Bus dispatching irregularity and travel time dispersion

Cited by 7 publications

References 4 publications

Headway variability in public transport: a review of metrics, determinants, effects for quality of service and control strategies

Headway variability in public transport: a review of metrics, determinants, effects for quality of service and control strategies

Forecasting of urban buses dwelling time at stops

Delay Indices for Train Punctuality

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