Cristin-resultat-ID: 1576679
Sist endret: 29. august 2018 11:40
NVI-rapporteringsår: 2018
Resultat
Vitenskapelig artikkel
2018

Anticipating emission-sensitive traffic management strategies for dynamic delivery routing

Bidragsytere:
  • Felix Köster
  • Marlin Ulmer
  • Dirk Mattfeld og
  • Geir Hasle

Tidsskrift

Transportation Research Part D: Transport and Environment
ISSN 1361-9209
e-ISSN 1879-2340
NVI-nivå 2

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2018
Volum: 62
Sider: 345 - 361
Open Access

Importkilder

Scopus-ID: 2-s2.0-85044528249

Beskrivelse Beskrivelse

Tittel

Anticipating emission-sensitive traffic management strategies for dynamic delivery routing

Sammendrag

Traffic pollution is an increasing challenge for cities. Emissions such as nitrogen dioxides pose a major health threat to the city’s inhabitants. These emissions often accumulate to critical levels in local areas of the city. To react to these critical emission levels, cities start implementing dynamic traffic management systems (TMS). These systems dynamically redirect traffic flows away from critical areas. These measures impact the travel speeds within the city. This is of particular importance for parcel delivery companies. These companies deliver goods to customers in the city. To avoid long delivery times and higher costs, companies already adapt their routing with respect to changing traffic conditions. Still, a communication with the TMS may allow anticipatory planning to avoid potentially critical areas in the city. In this paper, we show how communication between TMS and delivery companies results in benefits for both parties. To exploit the provided information, we develop a dynamic routing policy anticipating potential future measures of the TMS. We analyze our algorithm in a comprehensive case study for the TMS of the city of Braunschweig, Germany, a city often used as reference for a typical European city layout. We show that for the delivery company, integrating the TMS’ information in their routing algorithms reduces the driving times significantly. For the TMS, providing the information results in less traffic in the polluted areas.

Bidragsytere

Felix Köster

  • Tilknyttet:
    Forfatter
    ved Technische Universität Carolo-Wilhelmina zu Braunschweig

Marlin Ulmer

  • Tilknyttet:
    Forfatter
    ved Technische Universität Carolo-Wilhelmina zu Braunschweig

Dirk Mattfeld

  • Tilknyttet:
    Forfatter
    ved Technische Universität Carolo-Wilhelmina zu Braunschweig

Geir Hasle

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS
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