# Transportation Networks
Transportation Networks is a networks repository for transportation research.
If you are developing algorithms in this field, you probably asked yourself
more than once: where can I get good data? The purpose of this site is to
provide an answer for this question! This site currently contains several examples
for the traffic assignment problem. Suggestions and additional data are always welcome.
Many of these networks are for studying the Traffic Assignment Problem, which is one of the most
basic problems in transportation research. Theoretical background can be found in
“The Traffic Assignment Problem – Models and Methods” by Michael Patriksson, VSP 1994,
as well as in many other references.
This repository is an update to Dr. Hillel Bar-Gera's [TNTP](http://www.bgu.ac.il/~bargera/tntp).
As of May 1, 2016, data updates will be made only here, and not in the original website.
# How To Download Networks
Each individual network and related files is stored in a separate folder. There
are a number of ways to download the networks and related files:
- Click on a file, click view as Raw, and then save the file
- Clone the repository to your computer using the repository's clone URL. This is done with a Git
tool such as [TortoiseGit](https://tortoisegit.org). Cloning will download the
entire repository to your computer.
# How To Add Networks
There are two ways to add a network:
- Fork the repo
- Create a GitHub account if needed
- Fork (copy) the repo to your account
- Make changes such as adding a new folder and committing your data
- Issue a pull request for us to review the changes and to merge your changes into the master
- Create an issue, which will notify us. We will then reply to coordinate adding your network to the site.
Make sure to create a README in [Markdown](https://guides.github.com/features/mastering-markdown) for your
addition as well. Take a look at some of the existing README files in the existing network folders to see what
is expected.
# License
All data is currently donated. Data sets are for academic research purposes only.
Users are fully responsible for any results or conclusions obtained by using these data sets.
Users must indicate the source of any dataset they are using in any publication that relies
on any of the datasets provided in this web site. The Transportation Networks for Research team is not
responsible for the content of the data sets. Agencies, organizations, institutions and
individuals acknowledged in this web site for their contribution to the datasets are not
responsible for the content or the correctness of the datasets.
# How to Cite
Transportation Networks for Research Core Team. *Transportation Networks for Research*. https://github.com/bstabler/TransportationNetworks. Accessed Month, Day, Year.
# Core Team
This repository is maintained by the Transportation Networks for Research Core Team. The current members are:
- [Ben Stabler](https://github.com/bstabler)
- [Hillel Bar-Gera](https://github.com/bargera)
- [Elizabeth Sall](https://github.com/e-lo)
This effort is also associated with the [TRB Network Modeling Committee](https://trb-aep40.org). If you are interested in contributing in a more significant role, please get in touch. Thanks!
# Formats
Any documented text-based format is acceptable. Please include a README.MD that describes the files,
conventions, fields names, etc. It is best to use formats that can be easily read in with technologies
like R, Python, etc. Many of the datasets on TransportationNetworks are in TNTP format.
## TNTP Data format
TNTP is tab delimited text files, with each row terminated by a semicolon. The files have the following format:
- First lines are metadata; each item has a description. An important one is the `<FIRST THRU NODE>`.
In the some networks (like Sioux-Falls) it is equal to 1, indicating
that traffic can move through all nodes, including zones. In other networks when traffic is not
allow to go through zones, the zones are numbered 1 to n and the `<FIRST THRU NODE>` is set to n+1.
- Comment lines start with ‘~’.
- Network files (must be named `<network>_net.tntp`) – one line per link; links are directional, going from “init node” to “term node”.
- Link travel time = free flow time * ( 1 + B * (flow/capacity)^Power ).
- Link generalized cost = Link travel time + toll_factor * toll + distance_factor * distance
- The network files also contain a "speed" value for each link. In some cases the "speed" values
are consistent with the free flow times, in other cases they represent posted speed limits, and
in some cases there is no clear knowledge about their meaning. All of the results reported below
are based only on free flow travel times as described by the functions above, and do not use the speed values.
- The standard order of the fields in the network files is:
- Init node
- Term node
- Capacity
- Length
- Free Flow Time
- B
- Power
- Speed limit
- Toll
- Link Type
- Trip tables (must be named `<network>_trips.tntp`) – An Origin label and then Origin node number, followed by Destination node numbers and OD flow
```
Origin origin#
destination# , OD flow ; …..
```
## Import scripts
The networks' formatting has been harmonized to facilitate programatic imports, and import scripts are provided inside the folder **_scripts**:
| Language |Format | Networks | Trip matrix |
| --- |--- | --- | --- |
| Python | Jupyter Notebook | Instructions on using Pandas | Code to import into OMX |
| Julia | Jupyter Notebook | Using Julia package | Using Julia package |
# Summary of Networks
| Network | Zones | Links | Nodes | Compatible with provided scripts |
| --- | --- | --- | --- | --- |
| Anaheim | 38 | 914 | 416 | Yes |
| Austin | 7388 | 18961 | 7388 | Yes |
| Barcelona | 110 | 2522 | 1020 | Yes |
| Berlin-Center | 865 | 28376 | 12981 | Yes |
| Berlin-Friedrichshain | 23 | 523 | 224 | Yes |
| Berlin-Mitte-Center | 36 | 871 | 398 | Yes |
| Berlin-Mitte-Prenzlauerberg-Friedrichshain-Center | 98 | 2184 | 975 | Yes |
| Berlin-Prenzlauerberg-Center | 38 | 749 | 352 | Yes |
| Berlin-Tiergarten | 26 | 766 | 361 | Yes |
| Birmingham-England | 898 | 33937 | 14639 | Yes |
| Braess-Example | 2 | 5 | 4 | Yes |
| chicago-regional | 1790 | 39018 | 12982 | Yes |
| Chicago-Sketch | 387 | 2950 | 933 | Yes |
| Eastern-Massachusetts | 74 | 258 | 74 | Yes |
| GoldCoast, Australia | 1068 | 11140 | 4807 | Yes |
| Hessen-Asym
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交通网络数据集(24个)
共135个文件
tntp:66个
md:24个
csv:18个
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交通网络数据集(24个) (135个子文件)
trafficDemandMultiModal.csv 4.49MB
ElectricVehiclesMultiModal.csv 77KB
ConventionalVehiclesMultiModal.csv 50KB
TransportationLinksConventional.csv 19KB
201Bus-BranchData.csv 12KB
201Bus-StorageSData.csv 10KB
201Bus-LoadSData.csv 9KB
SiouxFalls_od.csv 6KB
TransportationLinksElectric.csv 4KB
TransportationStationsConventional.csv 4KB
SiouxFalls_net.csv 3KB
TransportationStationsElectric.csv 2KB
SiouxFalls_node.csv 423B
201Bus-GenCData.csv 418B
201Bus-StorageCData.csv 340B
201Bus-LoadCData.csv 334B
201Bus-GenSData.csv 332B
201Bus-BusData.csv 242B
.DS_Store 6KB
anaheim.geojson 380KB
anaheim_nodes.geojson 59KB
SiouxFallsCoordinates.geojson 5KB
parsing networks in Julia.ipynb 24KB
parsing networks in Python.ipynb 10KB
SiouxFallsMap_AAA1998.jpg 1.66MB
EMA_highway.jpg 196KB
Austin Flow Map 1 12-15-08.jpg 166KB
README.md 14KB
README.md 4KB
README.md 3KB
README.md 3KB
README.md 2KB
README.md 2KB
README.md 2KB
README.md 2KB
README.md 1KB
README.md 1KB
README.md 1KB
README.md 1KB
README.md 1KB
README.md 976B
README.md 846B
README.md 798B
README.md 788B
README.md 758B
README.md 757B
README.md 753B
README.md 750B
README.md 667B
README.md 551B
README.md 444B
RE use of Sydney and Gold Coast networks.msg 141KB
RE use of Sydney and Gold Coast networks.msg 141KB
EMA_intro.pdf 1.04MB
AsymmetricCostFunctions_Codina.pdf 224KB
AsymmetricCostFunctions_Codina.pdf 224KB
AsymmetricCostFunctions_Codina.pdf 224KB
Sioux-Falls-Network-Flow.pdf 118KB
Sioux-Falls-OD Demand.pdf 74KB
Sioux-Falls-Network.pdf 65KB
SymmetricaE.pdf 63KB
AnaheimNetwork.pdf 49KB
EMA_entire.png 601KB
Sydney_trips.tntp 197.16MB
ChicagoRegional_trips.tntp 63.44MB
Philadelphia_trips.tntp 25.49MB
Goldcoast_trips_2016_01.tntp 20.9MB
Austin_trips_am.tntp 20.72MB
Birmingham_Trips.tntp 7.72MB
berlin-center_net.tntp 3.22MB
Sydney_net.tntp 3.2MB
ChicagoSketch_trips.tntp 2.9MB
Birmingham_Net.tntp 2.03MB
ChicagoRegional_flow.tntp 1.95MB
Philadelphia_net.tntp 1.89MB
munich_net.tntp 1.74MB
ChicagoRegional_net.tntp 1.55MB
berlin-center_trips.tntp 940KB
Austin_net.tntp 896KB
berlin-center_node.tntp 558KB
Birmingham_Nodes.tntp 553KB
Goldcoast_network_2016_01.tntp 518KB
Hessen-Asym_net.tntp 286KB
Winnipeg_net.tntp 269KB
ChicagoRegional_node.tntp 255KB
berlin-mitte-prenzlauerberg-friedrichshain-center_net.tntp 239KB
Barcelona_net.tntp 239KB
Philadelphia_node.tntp 225KB
Hessen-Asym_trips.tntp 193KB
berlin-mitte-prenzlauerberg-friedrichshain-center_trips.tntp 170KB
ChicagoSketch_flow.tntp 144KB
Goldcoast_nodes_2016_01.tntp 137KB
Terrassa-Asym_net.tntp 136KB
EMA_trips.tntp 126KB
ChicagoSketch_net.tntp 119KB
Barcelona_flow.tntp 114KB
Winnipeg_flow.tntp 113KB
Barcelona_trips.tntp 111KB
Winnipeg-Asym_net.tntp 96KB
berlin-mitte-center_net.tntp 96KB
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