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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Instances for Two-Tier Multi-Modal City Logistics

Authors: Lange, Julia;

Instances for Two-Tier Multi-Modal City Logistics

Abstract

These instances provide data for planning problems in city logistics. The considered urban transportation system consists of two tiers and involves different modes of transportation like truck, cargo bike and public transport service. Three types of demands are considered: e2c (external to customer) demands, which require a delivery at a customer location in the inner city, c2e (customer to external) demands requiring a pickup at a customer location, and c2c (customer to customer) demands, which are shipped within the dense urban area. The instances are based on the district 'Oststadt' of Karlsruhe, a medium-size German city. The set contains 46,656 single instances, which mainly differ in the number of demands (10, 20 and 30), the modes of transport, the planning time horizon, the demand types involved, the time window widths and the maximum waiting time allowed. See the provided manual for more details. 

Keywords

Network Design, Transportation, Logistics, Routing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average