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

authored by

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.

Organisation(s)

Institute of Cartography and Geoinformatics
Institute of Computer Science for Business Administration

External Organisation(s)

Technische Universität Braunschweig

Type

Conference contribution

Pages

9-12

No. of pages

4

Publication date

19.12.2023

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Computer Networks and Communications, Computer Science Applications

Sustainable Development Goals

SDG 11 - Sustainable Cities and Communities

Electronic version(s)

https://doi.org/10.1145/3615899.3627930 (Access: Open)