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https://github.com/nismod/transport

NISMOD v2 Transport Model is a national-scale (Great Britain) transport model developed to support policy making regarding the future infrastructure
https://github.com/nismod/transport

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NISMOD v2 Transport Model is a national-scale (Great Britain) transport model developed to support policy making regarding the future infrastructure

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# Transport

[![Build Status](https://travis-ci.com/nismod/transport.svg?branch=master)](https://travis-ci.com/nismod/transport)
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[![DOI](https://zenodo.org/badge/66375443.svg)](https://zenodo.org/badge/latestdoi/66375443)

This is the home of the NISMOD v2 Transport Model.

## Description

NISMOD v2 Transport Model is a national-scale (*Great Britain*) transport model
developed to support policy making regarding the future infrastructure. It
forecasts the impact of various endogenous and exogenous factors on transport
demand and capacity utilisation, following an elasticity-based simulation
methodology. The model consists of three submodels covering the following modes
of transport: road (passenger and freight vehicle flows), rail (total station
usage), and air (domestic and international passenger movements).

## Setup to develop and run the model (Eclipse IDE)

0. Install *Java Development Kit* version 11. This should work with Oracle Java,
the code is developed and tested using openjdk11.
1. Install *Eclipse IDE for Java Developers*: https://eclipse.org/downloads/.
2. Run Eclipse and choose the workspace folder.
3. Import the existing Maven project from the local git folder where the code
has been cloned. In Eclipse: *File -> Import -> Maven -> Existing Maven
Projects.* Wait until all Maven dependencies (specified in the *pom.xml*
file) are downloaded. If the *pom.xml* file has been changed, the Maven
project should be first updated (*Alt+F5*).
4. The classes containing the *main* method can be run as a Java application.
The classes containing the methods annotated with *@Test* can be run as
*JUnit* tests.
5. To run the main model in Eclipse, open the *Run Configuration* for
*nismod.transport.App.java* and pass the path to the config file as an
argument:

[Configuration](images/configuration.jpg)

## Setup to run the model

Make sure the Java home environment variable is set for your operating system
and pointing to the directory where *Java Development Kit* has been installed.

On Ubuntu:

apt install openjdk11 mvn

Download maven, install it and set the environment variables:
http://maven.apache.org/.

mvn clean install

To run the base-year *road* model (2015) type:

java -cp target/transport-0.0.1-SNAPSHOT.jar nismod.transport.App -c
./path/to/config.properties -b

To predict and run a future year (e.g. 2020) using the results of a previously
run year (e.g. 2015), for *road* model type:

java -cp target/transport-0.0.1-SNAPSHOT.jar nismod.transport.App -c
./path/to/config.properties -road 2020 2015

To predict and run a future year (e.g. 2020) using the results of a previously
run year (e.g. 2015), for *rail* model type:

java -cp target/transport-0.0.1-SNAPSHOT.jar nismod.transport.App -c
./path/to/config.properties -rail 2020 2015

To predict and run a future year (e.g. 2020) using the results of a previously
run year (e.g. 2015), for *air* model type:

java -cp target/transport-0.0.1-SNAPSHOT.jar nismod.transport.App -c
./path/to/config.properties -air 2020 2015

To run the interactive showcase demo (1920 x 1080 resolution required) type:

java -cp target/transport-0.0.1-SNAPSHOT.jar nismod.transport.App -c
./path/to/config.properties -d

Options:

* To increase the max heap size, run with `java -XX:MaxHeapSize=120g ...`
* To enable debug messages, run with `java -Dlog4j2.debug ...`

## Docker and DAFNI

[DAFNI](https://www.dafni.ac.uk) provides another environment to run the model.

To prepare the model for DAFNI, there are two elements:
- build a docker container image, and upload as a DAFNI model
- prepare the project data files, and upload as DAFNI datasets

### DAFNI model

To build a docker image, install docker and check out this repository.

The Dockerfile defines how the model image is built. It uses a builder step
with maven installed to build the transport jar, then creates a small image with
java, the `transport.jar` and `dafni-run.sh` which runs the model.

To build, test locally, and export:

```bash
# build image
docker build -t nismod/transport:latest .

# run image using test data for a first (baseline) model step
docker run -it \
-v "$PWD/testrun":/data \
-e JAVA_OPTS='-XX:+UseContainerSupport -Xmx6g -Xms4g' \
-e ARGS='-c /data/inputs/config/config.properties -b' \
nismod/transport

# make output results available in inputs (DAFNI does this automatically)
docker run \
-v "$PWD/testrun":/data \
-it nismod/transport \
mv /data/outputs/results /data/inputs/

# run second model step
docker run -it \
-v "$PWD/testrun":/data \
-e JAVA_OPTS='-XX:+UseContainerSupport -Xmx6g -Xms4g' \
-e ARGS='-c /data/inputs/config/testConfig.properties -road 2020 2015' \
nismod/transport

# run image, get a bash shell
docker run -it nismod/transport /bin/bash

# export image for upload
docker save nismod/transport | gzip > transport.tar.gz
```

Then upload the `transport.tar.gz` file along with the `dafni-model-definition.yml`
as a model to DAFNI.

### DAFNI data

The DAFNI model uses "dataslots" to input the project data files. Initially, the
test data package (in `transport/src/test/resources/testdata`) has been uploaded
with separate dataslots for `config`, `csvfiles`, `disruptions`,
`interventions`, `routes` and `shapefiles`.

## Release checklist

- [ ] Update the model version in `transport/pom.xml`
- [ ] Run `make` to build model jar and testdata zip
- [ ] Tag the latest commit (using `git tag -a` and `git push --tags`)
- [ ] Make a GitHub release, with notes on fixes and new features

## Contact information

* Milan Lovric [email protected] / [email protected] (Modelling and
development)
* Simon Blainey [email protected] (MISTRAL Co-Lead)
* John Preston [email protected] (MISTRAL Co-Lead)
* Manuel Buitrago [email protected] (Seaports and freight)

## Acknowledgments

This work has been undertaken at the *University of Southampton*, as part of the
ITRC consortium, under grant EP/N017064/1 (MISTRAL: Multi-scale InfraSTRucture
systems AnaLytics) of the UK *Engineering and Physical Science Research Council*
(EPSRC). https://www.itrc.org.uk/

The test resources contain a sample of data and shapefiles that come with the
following licencing and copyright statements:
* *Open Government Licence:*
http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
* Contains *National Statistics* data © *Crown* copyright and database right 2012.
* Contains *Ordnance Survey* data © *Crown* copyright and database right 2012.

The authors acknowledge the use of the IRIDIS *High Performance Computing
Facility*, and associated support services at the *University of Southampton*,
in the completion of this work.

The implementation uses an open source library *GeoTools* for geospatial
processing. http://www.geotools.org/about.html