Published June 1, 2026 | Version 1.0

Dataset for Scaling Urban Logistics Microsimulation: Traffic Analysis Zone Similarity Assessment to Estimate Simulation Results

  • 1. ROR icon Warsaw University of Technology

Description

The purpose of this dataset is to enable the replication of the research results presented in the article: 
Szczepański, E., Paszkowski, J. S., Jacyna, M., Wang, L. K., & Gao, J. (2025). Scaling Urban Logistics Microsimulation: Traffic Analysis Zone Similarity Assessment to Estimate Simulation Results. W Q. Xiaobo, W. Zhang, Y. Liu, & Y. Yiping (Editors), Proceedings of the 14th Asia-Pacific Conference on Transportation and the Environment (APTE 2025) (s. 24–34). Atlantis Press. https://doi.org/10.2991/978-94-6463-972-8_4 - published online: 29 December 2025, which discusses  method of assessing a similarity of the traffic analysis zones to the given base zone. The aim of this article is to verify the possibility of identifying zones with similar characteristics within a given city and approximating the micro-simulation results from a base zone to these similar zones.

Dataset contains:

  • Readme.txt: description of the dataset
  • Inputdata_Similarity.xlsx: contains the similarity of TAZs calculation
  • InputData_Network V0.xlsx: contains the input data for variant 0
  • InputData_Network V1.xlsx: contains the input data for variant 1
  • InputData_Network V2.xlsx: contains the input data for variant 2
  • InputData_Network V3.xlsx: contains the input data for variant 3
  • Results.xlsx: contains the results of calculations
  • Model_drone.fsx: contains the Flexsim model code in XML format.

The dataset was created as part of the E-Laas project (Energy optimal urban logistics As A Service).
Project implemented as part of the call ERA-NET Cofund Urban Accessibility and Connectivity (ENUAC China Call) organized by JPI Urban Europe and the National Natural Science Foundation of China (NSFC). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 875022.
 E-Laas project is carried out in an international consortium. Project coordinator in Europe: Chalmers University of Technology (Sweden), project coordinator in China: Shanghai University (China), consortium members: Tsinghua University (China), Warsaw University of Technology (Poland), cooperation partners: Stockholms stad, Trafikkontoret (Sweden), ParkUnload (Spain), Metropolis GZM (Poland), Shanghai Urban-Rural Construction and Transportation Department (China), Volvo Group Trucks Technology and Operations (Sweden).
- The Chinese part of the project is funded by National Natural Science Foundation of China.
- The Swedish part of the project is funded by Swedish Energy Agency.
- The Polish part of the project is funded by the National Science Centre, Poland (project no. 2022/04/Y/ST8/00134). The value of the co-financing is PLN 878,107.00. Project duration 27/04/2023 - 26/04/2026 (36 months).

Files

readme.txt

Files (3.1 GB)

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Additional details

Related works

Is published in
Conference paper: 10.2991/978-94-6463-972-8_4 (DOI)

Funding

European Commission
EN-UAC – Urban Accessibility and Connectivity 875022
National Science Centre
Optymalna energetycznie logistyka miejska jako usługa 2022/04/Y/ST8/00134

Dates

Available
2026-06-01