crrt-route-finder
Algorithm to find promising options for combined road-rail transportation in a logistics network
https://github.com/mul-chair-of-industrial-logistics/crrt-route-finder
Science Score: 65.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 2 DOI reference(s) in README -
○Academic publication links
-
○Committers with academic emails
-
✓Institutional organization owner
Organization mul-chair-of-industrial-logistics has institutional domain (industrielogistik.unileoben.ac.at) -
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (9.1%) to scientific vocabulary
Keywords
combined-transport
greenlogistics
logistics
python
railway
transportation
transportation-network
transportation-planning
Last synced: 6 months ago
·
JSON representation
·
Repository
Algorithm to find promising options for combined road-rail transportation in a logistics network
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 0
Topics
combined-transport
greenlogistics
logistics
python
railway
transportation
transportation-network
transportation-planning
Created over 2 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
License
Citation
README.md
Route finder for combined road-rail transportation
This repository contains an algorithm to find promising consolidation options for combined road-rail transportation in a logistics network
For methodological details please refer to the corresponding publication:
- Miklautsch, P., Woschank, M. (2023). Decarbonizing Industrial Logistics Through a GIS-Based Approach for Identifying Pareto-Optimal Combined Road-Rail Transport Routes. In: Borgianni, Y., Matt, D.T., Molinaro, M., Orzes, G. (eds) Towards a Smart, Resilient and Sustainable Industry. ISIEA 2023. Lecture Notes in Networks and Systems, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-031-38274-1_31
Link between the code and the methodology
- dfrelations equals to VR in the paper
- dfintersectionpoints equals to V_I in the paper
- dfsections equals to VS in the paper
- dfcontiguoussectioncombinations equals to VC in the paper
How to use
- Install the requirements with
pip install -r requirements.txt - Create a file called utils/api_keys.py and insert the following lines:
- GOOGLEAPIKEY = 'your google api key'
- ORSAPIKEY = 'your openrouteservice api key'
You can get the Google API key from https://developers.google.com/maps/documentation/javascript/get-api-key and the ORS API key from https://openrouteservice.org/dev/#/home
- Change STEP 1 in main.py according to your input data. In the example, the input data is an Excel file having the specified columns. Anyways, the DataFrame needs to have the columns 'fromaddress', 'toaddress', 'weightintons', and 'date'
- Run the code with
python main.py - The plot then shows the evaluated possible combinations. For details (from, to, geometry), see the generated file temp/contiguoussectioncombinations.json
- Shift your freight to rail and save the world!
Created with the help of GitHub Copilot and OpenAI's ChatGPT
Owner
- Name: Chair of Industrial Logistics
- Login: MUL-Chair-of-Industrial-Logistics
- Kind: organization
- Email: logistik@unileoben.ac.at
- Location: Austria
- Website: https://industrielogistik.unileoben.ac.at
- Repositories: 1
- Profile: https://github.com/MUL-Chair-of-Industrial-Logistics
Github Account of the Chair of Industrial Logistics, Montanuniversitaet Leoben, Austria
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: CRRT Route Finder
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Philipp
family-names: Miklautsch
email: philipp@miklautsch.eu
affiliation: >-
Chair of Industrial Logistics, Montanuniversitaet
Leoben
orcid: 'https://orcid.org/0000-0001-7004-1236'
identifiers:
- type: doi
value: 10.1007/978-3-031-38274-1_31
description: The article describing the algorithm
abstract: >-
This repository contains an algorithm to find promising
consolidation options for combined road-rail
transportation in a logistics network.
keywords:
- green logistics
- combined transport
license: BSD-3-Clause
date-released: '2023-09-01'
GitHub Events
Total
Last Year
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Philipp Miklautsch | p****4 | 10 |
| pmikla14 | p****l@y****e | 2 |
Committer Domains (Top 20 + Academic)
yahoo.de: 1
Issues and Pull Requests
Last synced: about 2 years ago
All Time
- Total issues: 1
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- pmikla14 (1)
Pull Request Authors
Top Labels
Issue Labels
enhancement (1)
Pull Request Labels
Dependencies
requirements.txt
pypi
- folium *
- googlemaps *
- matplotlib *
- numpy *
- openpyxl *
- openrouteservice *
- pandas *
- shapely ==1.8.5.post1