On reproducibility and traceability of simulations

Dalle, Olivier

doi:10.1109/wsc.2012.6465284

Cited by 18 publications

(13 citation statements)

References 15 publications

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“…It should be noted that despite efforts to distinguish reproducibility and replicability (e.g., by definig ''levels'' of reproducability Dalle (2012)), the line between the two is not always clear. What is clear is that whether for the purposes of replication or reproduction of prior results, access to the resources, procedures, parameters, and test data used in an original work is critical to the exercise.…”

mentioning

confidence: 99%

Replicability and reproducibility of research results for human language technology: introducing an LRE special section

Branco¹,

Cohen

Vossen

et al. 2017

Lang Resources & Evaluation

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mentioning

confidence: 99%

Replicability and reproducibility of research results for human language technology: introducing an LRE special section

Branco¹,

Cohen

Vossen

et al. 2017

Lang Resources & Evaluation

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“…It can be observed that for the load scenario considered, introduction of short trips can reduce the average load factor. Currently, this simulator is used in the operational context of the public transport and needs repeatable results, for which the following assumptions based on Dalle [15] are made:…”

Section: Discussion Of Resultsmentioning

confidence: 99%

Simulation-Driven Optimization of Urban Bus Transport

Kalle¹,

Kumar²,

Mohan³

et al. 2019

WIT Transactions on the Built Environment

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Urban bus transport is an important mode of public transportation in developing countries and accounts for the major share of daily commuter demand in growing cities. However, many of these systems are not optimized and suffer from delays, cancellations and overcrowding , leading to losses. In recent times, intelligent transport systems (ITS) have been deployed to improve the bus operations. However, the ITS deployed in developing nations have been limited to monitoring daily operations, largely due to their dynamic and unpredictive demand pattern. Bus transport operators need new ITS solutions for schedule optimization and fleet management to improve the efficiency and profitability. Simulation driven optimization of operational parameters is one of the methods to propose the advantages of integrating ITS solutions with the bus operations. The primary data utilized for analysis includes both the static and dynamic sources. The static data consists of route, schedule, vehicle and historical ticket information. Whereas the dynamic data includes GPS traces and Automatic Vehicle Location System (AVLS) information. The simulation consists of models of bus operations as well as the passenger ridership. Each of these are interdependent and directly impact the measurable performance indicators for the transport operators (for example, passenger load factor, departure headways, vehicle utilization and earnings). Therefore, the goal of the proposed simulator is to optimize these measurable key performance indicators (KPI) through their iterative schedule evaluation. In this paper, the methods used to model bus transportation are investigated and the impact on measurable performance indicators are evaluated. The simulator can not only be used to optimize the schedule, but also to evaluate passenger load and bus fleet utilization scenarios. In addition to evaluation of schedule for typical urban scenario, the conditions in developing countries and application difficulties are discussed. In summary, the results indicate that demand driven scheduling results in cost savings and efficiency improvement.

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“…Reproducibility is an important aspect in Science that similar results should be reproducible while following steps and recommendations from the previous experiment [24]. Experiments involved with physical and biological science have this characteristic in common to ensure results are reproducible when working in the same scientific conditions.…”

Section: A Reproducibility and Reusabilitymentioning

confidence: 99%

Cloud computing for brain segmentation - a perspective from the technology and evaluations

Chang¹

2014

IJBDI

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On reproducibility and traceability of simulations

Cited by 18 publications

References 15 publications

Replicability and reproducibility of research results for human language technology: introducing an LRE special section

Replicability and reproducibility of research results for human language technology: introducing an LRE special section

Simulation-Driven Optimization of Urban Bus Transport

Cloud computing for brain segmentation - a perspective from the technology and evaluations

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