Regularity analysis on bus networks and route directions by automatic vehicle location raw data

Barabino, Benedetto; Francesco, Massimo Di; Mozzoni, Sara

doi:10.1049/iet-its.2012.0182

Cited by 20 publications

(11 citation statements)

References 18 publications

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“…Therefore, it is relevant to study and develop appropriate routines for the automated handling of such data, as well as to generate brief and relevant reports, which are easily understandable for planners, senior managers, and decision makers. In this context, clear representations of the diagnosis of bus speed and bus regularity, using GPS data and AVL data collected by technology, were proposed by Cortés et al [20] and Barabino et al [21], [22], respectively. Differently, in this paper, APC data will be processed.…”

Section: ) Problem D-report Presentationmentioning

confidence: 99%

An Offline Framework for Handling Automatic Passenger Counting Raw Data

Barabino

Francesco

Mozzoni³

2014

IEEE Trans. Intell. Transport. Syst.

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Knowledge of ridership data on bus routes is pivotal for the quality and efficient operational planning of public transport companies. Automatic passenger counting (APC) can represent a powerful resource for supporting this activity, because it can provide a databank of accurate counts. However, relevant challenges, such as the matching of data to the bus stop, data validation, tackling anomalies, and building intelligible performance reports, must be faced in order to make APC data a mainstream source of information. This paper proposes an offline framework for addressing these challenges. In order to illustrate a possible application of the framework, its use for setting bus frequencies is investigated. The results are represented by easy-to-read control dashboards composed of tables and graphs. The methodology is experimentally tested with data records provided by the bus operator CTM in Cagliari, Italy. Finally, we discuss the implications on service rearrangement.

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Section: ) Problem D-report Presentationmentioning

confidence: 99%

An Offline Framework for Handling Automatic Passenger Counting Raw Data

Barabino

Francesco

Mozzoni³

2014

IEEE Trans. Intell. Transport. Syst.

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“…The analysis of scientific works [7,8] shows the issues of reducing conflict situations of urban route networks to have been insufficiently studied. There are no well-founded methods for these issues to increase the route transport operation efficiency as there exists a "gap" between the levels of automobilization and urban transport infrastructure development [9][10][11][12]. Therefore, the aim of increasing the efficiency and safety of urban public transport operation and route networks is of primary importance from a scientific and practical points of view, with conflict situations at stop points being thoroughly considered.…”

Section: Introductionmentioning

confidence: 99%

Modelling Urban Route Transport Network Parameters with Traffic, Demand and Infrastructural Limitations Being Considered

Kazhaev

Almetova

Shepelev

et al. 2018

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract:In recent years, there has been a significant increase in urban public transport. This has led to overabundant route networks; deteriorated conditions for moving route transport within cities; conflict situations at stop points occurring between vehicles of duplicating routes. Conflict situations occurring between vehicles of different routes at stop points when loading and unloading passengers prove the problem of optimizing urban route networks to be insufficiently investigated, with traffic, demand and infrastructure limitations being considered. Conflict situations at stop points are found to be dependent on route configurations and network parameters, with the number of conflict situations being inversely dependent on the number of combined intervals for route transportation through stop points and their throughout capacity. There has been developed an imitation model for moving vehicles of adjacent routes, with a model for optimizing urban route network parameters being presented. It reduces conflicts in number due redistributed vehicles of various types for routes, with the population's demand for transportation being absolutely satisfied. Models and methods can be used by transportation companies, city administrations to develop and improve urban route public transport networks.

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“…On the other hand, AVL data anomalies require the adopting sophisticated data pre‐processing to recognize their type and to adjust them. Two types of anomalies characterize archived AVL data: missing data points and unseen bus overtakings …”

Section: Introductionmentioning

confidence: 99%

“…To show how anomalies may affect results, this paper compares measurements of headways and schedule deviations at each bus stop, when AVL data anomalies are ignored or addressed. In this last case, some algorithms were used to address AVL data anomalies for both high‐frequency and low‐frequency services . In these studies, there was no comparison between addressing and ignoring anomalies.…”

Section: Introductionmentioning

confidence: 99%

“…Two types of anomalies characterize archived AVL data: missing data points and unseen bus overtakings. [11][12][13] Missing data points are divided into technical failure (TF) and incorrect operation in service (IOS). A TF is a missing data point occurring when a bus arrives at a stop, but the arrival is not recorded by the AVL, that is, it is a failed registration in AVL data.…”

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Time Reliability Measures in bus Transport Services from the Accurate use of Automatic Vehicle Location raw Data

Barabino¹,

Francesco

Mozzoni³

2016

Quality & Reliability Eng

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Archived automatic vehicle location (AVL) data are widely used in bus transportation, but typically contain anomalies, such as missing data points and unseen bus overtakings. These anomalies may alter the measurement of time reliability (i.e., headways and schedule time deviations) of buses at stops with respect to passenger experiences. However, in many studies, anomalies are ignored, neglected, or partially addressed. This paper investigates the effect of AVL anomalies on headways and schedule deviations, which are keys for regularity and punctuality evaluations and are well-practicized among bus operators worldwide. The analysis is carried out on six scenarios, each representing a combination of AVL data anomalies. The outcomes show that addressing anomalies result in more severe regularity measures, which point out criticalities suffered by passengers, whereas it can be skipped for the measurement of punctuality. In addition, an increase of 5% of missing data results in the increase of 5% in the coefficient of variation of the headway, but it does not lead to meaningful variations in punctuality measures. These results are useful for both practitioners interested in passenger-oriented measurement of time reliability and researchers working on the disclosure of the determinants of unreliability

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Regularity analysis on bus networks and route directions by automatic vehicle location raw data

Cited by 20 publications

References 18 publications

An Offline Framework for Handling Automatic Passenger Counting Raw Data

An Offline Framework for Handling Automatic Passenger Counting Raw Data

Modelling Urban Route Transport Network Parameters with Traffic, Demand and Infrastructural Limitations Being Considered

Time Reliability Measures in bus Transport Services from the Accurate use of Automatic Vehicle Location raw Data

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