Redirect

Project Info

Pied Piper thumbnail

Project Description


Project

Sydney is an amazing city, extremely diverse, business focused and driven. But as with most big cities, congestion of traffic (public and drivers) is a large problem and often a complaint of many locals. Enter Redirect.

Redirect aims to be a platform to model, simulate and plan better cities by modelling road traffic.

While we are not road modelling experts, we enable the people with the right domain knowledge on our platform to model the effects of adding / removing features within a city’s transport network such as reducing the amount of traffic through bottleneck roads and diverting it elsewhere, adding parking spaces that are cheaper near less congested roads as an incentive.

In the future we can incorporate other features such as road speed limits and tolls with the ability to accept a "citizen" AI model as a parameter for analyzing traffic diversion behaviour. We can also leverage public transport APIs to estimate the impact of a new transit station / more vehicles in a particular area.

We do this by querying many APIS. We elaborate on this more in the data story section.

Technologies used


Data Story


We built a frontend in react.js and a backend in node.js.
The basemap for our frontend is the Google Maps Traffic layer.
Typing in an address queries the Google Places API.
With the start and destination places we query the Google Directions API to get the suggested route. We also query near by locations using Google Places Nearby queries and drive routes from the start to the destination via these nearby places to check the route is less congested.

We use open data parking geojson[1] and nsw geojson[2] to map out features. 2019 congestion audit data as part of our investigation and heuristics [3, 4]. The NSW transport road count API for recent data.

[1] https://opendata.transport.nsw.gov.au/dataset/street-parking
[2] https://data.gov.au/dataset/ds-dga-91e70237-d9d1-4719-a82f-e71b811154c6/details
[3] https://data.gov.au/dataset/ds-dga-d42b84fb-9f07-400e-af7e-133389ddeccb/details
[4] https://data.gov.au/dataset/ds-dga-bcdaedcc-c208-480b-97ca-805a62c65316/details
[5] https://opendata.transport.nsw.gov.au/node/2171/exploreapi#!/default/get_spatial


Evidence of Work

Video

Homepage

High-Res Image

Team DataSets

Offstreet Parking

Description of Use: parking spaces geo json + locations

Data Set

OpenData Transport NSW Road traffic data

Description of Use: Traffic volume counts on roads

Data Set

NSW Suburb/Locality Boundaries - PSMA Administrative Boundaries

Description of Use: segment nsw on map

Data Set

(Audit 2019) Congestion on all roads during 2016 AM peak

Description of Use: Analysis & making heuristics

Data Set

(Audit 2019) Congestion on all roads during 2031 AM peak

Description of Use: Analysis & making heuristics

Data Set

Challenges

What are the key levers that can be affected to ease congestion in NSW?

Region: New South Wales

Challenge

Reducing CBD Traffic Congestion

Region: International

Challenge

Ultimo: what are the building blocks of an innovative precinct?

Region: New South Wales

Challenge

Public Transport for the Future

Region: International

Challenge

Back to Projects