Details
| Original language | English |
|---|---|
| Title of host publication | SuMob '23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility |
| Editors | Monika Sester, Stephan Winter, Alexandra Millonig, Francisco Pereira |
| Place of Publication | New York, NY, USA |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 9-12 |
| Number of pages | 4 |
| ISBN (electronic) | 9798400703614 |
| Publication status | Published - 19 Dec 2023 |
Abstract
Keywords
- MILP, optimization, parking space management, urban logistics
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Computer Science Applications
Sustainable Development Goals
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SuMob '23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility. ed. / Monika Sester; Stephan Winter; Alexandra Millonig; Francisco Pereira. New York, NY, USA: Association for Computing Machinery (ACM), 2023. p. 9-12.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Modeling and Calibration of Last-Mile Logistics to Study Smart-City Dynamic Space Management Scenarios
AU - Wage, Oskar
AU - Heumann, Maximilian
AU - Bienzeisler, Lasse
N1 - This work is funded by the German Federal Ministry for Digital and Transport grand 45FGU121E ’5GAPS’, the German Federal Ministry of Education and Research grant 03SF0609 ’USEfUL XT’ and the German Research Foundation GRK 1931 ’SocialCars’.
PY - 2023/12/19
Y1 - 2023/12/19
N2 - 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.
AB - 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.
KW - MILP
KW - optimization
KW - parking space management
KW - urban logistics
UR - http://www.scopus.com/inward/record.url?scp=85182029873&partnerID=8YFLogxK
U2 - 10.1145/3615899.3627930
DO - 10.1145/3615899.3627930
M3 - Conference contribution
SP - 9
EP - 12
BT - SuMob '23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility
A2 - Sester, Monika
A2 - Winter, Stephan
A2 - Millonig, Alexandra
A2 - Pereira, Francisco
PB - Association for Computing Machinery (ACM)
CY - New York, NY, USA
ER -