A Mixed-Integer Programming Approach for Scheduling Roadworks in Urban Regions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00347214" target="_blank" >RIV/68407700:21230/20:00347214 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1007/978-3-030-64984-5_7" target="_blank" >https://doi.org/10.1007/978-3-030-64984-5_7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-64984-5_7" target="_blank" >10.1007/978-3-030-64984-5_7</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Mixed-Integer Programming Approach for Scheduling Roadworks in Urban Regions

Popis výsledku v původním jazyce

In order to keep roads in acceptable condition, and to perform maintenance of essential infrastructure, roadworks are required. Due to the increasing traffic volumes and the increasing urbanisation, road agencies are currently facing the problem of effective planning frequent –and usually concurrent– roadworks in the controlled region. However, there is a lack of techniques that can support traffic authorities in this task. In fact, traffic authorities have usually to rely on human experts (and their intuition) to decide how to schedule and perform roadworks. In this paper, we introduce a Mixed-Integer Programming approach that can be used by traffic authorities to plan a set of required roadworks, over a period of time, in a large urban region, by specifying constraints to be satisfied and suitable quality metrics.

Název v anglickém jazyce

A Mixed-Integer Programming Approach for Scheduling Roadworks in Urban Regions

Popis výsledku anglicky

In order to keep roads in acceptable condition, and to perform maintenance of essential infrastructure, roadworks are required. Due to the increasing traffic volumes and the increasing urbanisation, road agencies are currently facing the problem of effective planning frequent –and usually concurrent– roadworks in the controlled region. However, there is a lack of techniques that can support traffic authorities in this task. In fact, traffic authorities have usually to rely on human experts (and their intuition) to decide how to schedule and perform roadworks. In this paper, we introduce a Mixed-Integer Programming approach that can be used by traffic authorities to plan a set of required roadworks, over a period of time, in a large urban region, by specifying constraints to be satisfied and suitable quality metrics.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA18-07252S" target="_blank" >GA18-07252S: MoRePlan: Modelování a reformulace plánovacích problémů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

AI 2020: Advances in Artificial Intelligence

ISBN

978-3-030-64983-8

ISSN

0302-9743

e-ISSN

0302-9743

Počet stran výsledku

12

Strana od-do

82-93

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Canberra

Datum konání akce

29. 11. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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