THE CHALLENGE

Traffic Congestion is a huge issue in every major city in Australia. Congestion contributes to stress levels, pollution, decreased productivity and a huge economic cost. This is only set to get worse as our urban population grows.

The existing solution in Australia to combat congestion calculates real time data using fixed road, traffic sensors and fleet cars. There are three major problems with this.

  1. The sensors are based on a fixed location so it becomes difficult to see the entire network.
  2. Extensive to maintain these sensors and during road works, these areas become black spots.
  3. Fleet cars don’t provide an accurate picture of traffic conditions as they can be skewed depending on sample size, time of day and region.

THE SOLUTION

Transform infrastructure planning

  • Identify and target network pinch points
  • Increase network capacity

Substantially increase incident clearance rate

  • Detect incidents and clear them quickly
  • Predict and plan for future traffic conditions using historical analysis and predictive scenario planning

Create a better journey experience for motorists

  • Accurate information is key to increasing motorist happiness. Variable Message Signs on Motorways provide journey times to the nearest exit. This lets users make informed decisions, i.e to use public roads or tolls roads.
  • End-to-end real time journey applications that give users different ways of getting to their destinations such as bike, ferry, car or public transport.

USING BIG DATA

Google crowdsourced data can dramatically shift the landscape of traffic management by making it more, timely, accurate and cost effective.

Why: The sheer volume of data alone is staggering. We are talking upwards of millions of ‘road sensors’ instead of the traditional static road sensors.

How: Google provides traffic data which is crowdsourced anonymously from the movements of millions of mobile phones. When it comes to the number of road sensors vs the number of mobile phones in a city, the quanta of the sample sizes are  dramatic.

We use Google’s crowdsourced live traffic data to create solutions that help plan for infrastructure investments, delight the road user by giving accurate journey times and use predictive analysis to anticipate network behaviour and reduce congestion. 

We need to get smarter about solving congestion. Using Google’s big data is a massive step towards transformation.

CASE STUDY: JOURNEY TIME SYSTEM

NSW Road and Maritime Services (RMS) needed to get live traffic data to road users whilst overcoming limited coverage of traffic data and black spots within the NSW road network.

We used Google Maps to :

  • Integrate Google Maps crowdsourced data with RMS Variable Message Signs
  • Predict and deliver accurate journey times to road users.

This resulted in :-

  • Happier road users who were able to make timely and informed decisions
  • Massive costs reduction in operation and maintenance costs
  • More coverage made available for black spots particularly in regional areas

GOOGLE MAPS EVENT

We hosted a successful event recently that was centered around Smart Cities with a focus on traffic and transport. Check out the speaker lineup and topics here. If you would like more information on any of the talks, contact us and we will be happy to share.

CASE STUDY: SYDNEY OLYMPIC PARK AUTHORITY

The Sydney Olympic Park Authority wanted to improve their customer experience of finding their way around the Olympic Park and know when roads were closed. 

We used Google Maps to build two applications.

  1. A customer facing application which allowed users to view road closures and find nearby facilities.
  2. An admin portal that allowed the client to easily edit and communicate road closures which directly fed into the customer app.

This resulted in:

  • Time and cost savings: by avoiding PDF Maps production for every road closure
  • Delighted customers: by giving them accurate up-to-the-minute road closure information on customer mobile devices allowing them to make timely and informed journey decisions.
  • Informed customers: by showing points of interest such as venues, parking, toilets, eating places, with links to their websites for further info all in a Google Map interface.

Interested? Contact us below
and we will be happy to give you a call back.