Modeling and Calibration of Last-Mile Logistics to Study Smart-City Dynamic Space Management Scenarios

verfasst von

Oskar Wage, Maximilian Heumann, Lasse Bienzeisler

Abstract

This contribution presents a base case modeling and calibration for simulation studies of last-mile parcel delivery in urban areas to be compared with future sustainable and livable alternative scenarios. We formulate a two-stage mixed-integer programming optimization framework. In the first stage, stopping points are identified using a facility location problem. In the second stage, these stopping points are served through multiple vehicle tours by solving a capacitated vehicle routing problem. The parameterization and calibration are based on real data for a part of the Hanover Linden-Nord district, which includes the street network, the parcel demand of a large logistics service provider, and stopping distances derived from trajectories. The model is the basis for follow-up work in the area of 5G-enabled dynamic space management.

Organisationseinheit(en)

Institut für Kartographie und Geoinformatik
Institut für Wirtschaftsinformatik

Externe Organisation(en)

Technische Universität Braunschweig

Typ

Aufsatz in Konferenzband

Seiten

9-12

Anzahl der Seiten

4

Publikationsdatum

19.12.2023

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Computernetzwerke und -kommunikation, Angewandte Informatik

Ziele für nachhaltige Entwicklung

SDG 11 – Nachhaltige Städte und Gemeinschaften

Elektronische Version(en)

https://doi.org/10.1145/3615899.3627930 (Zugang: Offen)