Package to find locally optimal routes in route networks
Project description
An Algorithm to Compute Locally Optimal Paths for Large-Scale Traffic Models
This package provides an implementation of the algorithm REVC to compute locally optimal routes between many origins and destinations, as described by Fischer et al. (2020). If you use this package in research that leads to a scientific publication, we kindly ask you to cite the publication.
The package is licensed under the LGPL-v3. For documentation please refer to the project's documentation page on github. Please report any bugs on the project's bug tracker. You are welcome to adjust the provided files to your needs and to improve the code. It is encouraged that you share any improvements on the github page if possible.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file lopaths-0.9.0a7.tar.gz.
File metadata
- Download URL: lopaths-0.9.0a7.tar.gz
- Upload date:
- Size: 206.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3.post20200330 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
913ae1fe3897261c851bf1fea7ba32b318d574b2e1d1846de628a5390efedcc3
|
|
| MD5 |
a5b1a08691f17ec6a7671f6f94761938
|
|
| BLAKE2b-256 |
ce0ff04e291cc55ad5b662fa08d3549cfae3f1a5d9e49deba880f472af861bc4
|
File details
Details for the file lopaths-0.9.0a7-cp311-cp311-win_amd64.whl.
File metadata
- Download URL: lopaths-0.9.0a7-cp311-cp311-win_amd64.whl
- Upload date:
- Size: 126.5 kB
- Tags: CPython 3.11, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
461cb91e8b2d2578506701dfbd4035e43ef8eb594a96edfc677932e7f075473e
|
|
| MD5 |
89cca3660ccec3f2c22840168d58f4d4
|
|
| BLAKE2b-256 |
88665046a88d9eb25a28c0cd63b058117911811b112144290e893bd212c36a0e
|
File details
Details for the file lopaths-0.9.0a7-cp310-cp310-win_amd64.whl.
File metadata
- Download URL: lopaths-0.9.0a7-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 131.4 kB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3.post20200330 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3d10b496e01f11a7b1ba689dd8bd33df6bac3c447288b1965661ca164d0e1920
|
|
| MD5 |
f98fed48cd85116051e875cb55ab96f1
|
|
| BLAKE2b-256 |
1874cb0cdc57262a62635431af2088222690600d90a07954e2e37d6bf67ec55e
|
File details
Details for the file lopaths-0.9.0a7-cp38-cp38-win_amd64.whl.
File metadata
- Download URL: lopaths-0.9.0a7-cp38-cp38-win_amd64.whl
- Upload date:
- Size: 139.6 kB
- Tags: CPython 3.8, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3.post20200330 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8c8674d646ab406c41129cb85b37942a6e71a308db383aca0d1ce6717af4cc26
|
|
| MD5 |
a0d51683b07ddb06f2fb7d508303fd74
|
|
| BLAKE2b-256 |
e6fe38821600c01998936f658d7fdd2c10444681da2775114ba03419033b20fb
|
