Modeling the passengers' waiting times at multimodal stations

Bouzir, Aida; Souissi, Besma; Benammou, Saloua

doi:10.1109/gol.2014.6887431

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…-A "waiting time model": case study Tunisian Great Sahel by Bouzir et al (2014). The model based on multiple variables was developed in order to optimize waiting time in stations.…”

Section: Passenger Multimodal Transportationmentioning

confidence: 99%

Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport

Matei¹,

Erdei²,

Pintea³

2021

Informatica

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In the family of Intelligent Transportation Systems (ITS), Multimodal Transport Systems (MMTS) have placed themselves as a mainstream transportation mean of our time as a feasible integrative transportation process. The Global Economy progressed with the help of transportation. The volume of goods and distances covered have doubled in the last ten years, so there is a high demand of an optimized transportation, fast but with low costs, saving resources but also safe, with low or zero emissions. Thus, it is important to have an overview of existing research in this field, to know what has already been done and what is to be studied next. The main objective is to explore a beneficent selection of the existing research, methods and information in the field of multimodal transportation research, to identify industry needs and research gaps and provide context for future research. The selective survey covers multimodal transport design and optimization in terms of: cost, time, and network topology. The multimodal transport theoretical aspects, context and resources are also covering various aspects. The survey's selection includes currently existing best methods and solvers for Intelligent Transportation Systems (ITS). The gap between theory and real-world applications should be further solved in order to optimize the global multimodal transportation system.

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“…-A "waiting time model": case study Tunisian Great Sahel by Bouzir et al (2014). The model based on multiple variables was developed in order to optimize waiting time in stations.…”

Section: Passenger Multimodal Transportationmentioning

confidence: 99%

Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport

Matei¹,

Erdei²,

Pintea³

2021

Informatica

View full text Add to dashboard Cite

show abstract

“…-A "waiting time model": case study Tunisian Great Sahel by [26]. The model based on multiple variables, was developed in order to optimize waiting times in stations.…”

Section: Models and Solversmentioning

confidence: 99%

Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport

Matei,

Rudolf,

Pintea

2021

Preprint

View full text Add to dashboard Cite

In the family of Intelligent Transportation Systems (ITS), Multimodal Transport Systems (MMTS) have placed themselves as a mainstream transportation mean of our time as a feasible integrative transportation process. The Global Economy progressed with the help of transportation. The volume of goods and distances covered have doubled in the last ten years, so there is a high demand of an optimized transportation, fast but with low costs, saving resources but also safe, with low or zero emissions. Thus, it is important to have an overview of existing research in this field, to know what was already done and what is to be studied next. The main objective is to explore a beneficent selection of the existing research, methods and information in the field of multimodal transportation research, to identify industry needs and gaps in research and provide context for future research. The selective survey covers multimodal transport design and optimization in terms of: cost, time, and network topology. The multimodal transport theoretical aspects, context and resources are also covering various aspects. The survey's selection includes nowadays best methods and solvers for Intelligent Transportation Systems (ITS). The gap between theory and real-world applications should be further solved in order to optimize the global multimodal transportation system.

show abstract

Reliability of Travel Time: Challenges Posed by a Multimodal Transport Participation

Wanjek

Hauger

2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Modeling the passengers' waiting times at multimodal stations

Cited by 4 publications

References 14 publications

Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport

Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport

Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport

Reliability of Travel Time: Challenges Posed by a Multimodal Transport Participation

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