This lesson has notes and guides only.
Understand how major events impact driver experience, speeds and g-forces with the Path Analysis tool. We’ll learn this by completing the Taylor Swift use case.
In February 2024, 320,000 Swifties travelled to Sydney Olympic Park, hugely impacting the road network. Road closures and speed reductions in surrounding areas caused delays for both Swifties and general road users. We want to learn how surrounding roads were impacted by the closures.
Let’s re-create this use case, and understand the impact of Taylor Swift’s concert on surrounding roads in Sydney Olympic Park by comparing the weekend OF the concert (23 February-26 February 2024) with the weekend BEFORE the concert (16 February-19 February 2024).
Download this file and upload it to the Road Intelligence platform to complete this module. If you don't remember how to upload a ciot file, see the instructions here.
Now, watch the video and answer the questions about Taylor Swift’s concert impact.
00:00
Let's use the Road Intelligence platform to understand how a real major event impacted the rest of the road network. In this video, we'll be focusing on Taylor Swift's visit to the Sydney Olympic Park for her tour. In February 2024, over 300,000 Swifties travelled to the Accor stadium. This resulted in significant impacts to the road network.
00:21
To start this study, first we'll search for Sydney Olympic Park in the search bar, choose the Path Analysis tool.Select the date ranges for the weekend before the concert. In this case, it was the 16th to the 19th of February 2024. And the weekend of the concert. So the 23rd to the 26th of February 2024.
01:01
And finally, we'll select three paths, one along Bennelong Parkway, one on Australia Avenue going northbound, and another going southbound.
Then we'll click Analyse.You can also upload the CIOT file linked in the lesson notes below.
01:42
For this study we'll ask, how the network speeds impacted? What was the change in average speed for cars travelling on Australia Avenue? And finally, what was braking behaviour like along Bennelong Parkway?
01:54
To see how speeds on the network were impacted, we'll need to compare the map before and during the tour. We'll get out of the Results Panel and head straight to the Network Speeds map layer. You can find that at the bottom right of the map. Click on the icon to turn the layer on. You should see the roads fill with color, and a legend will appear at the top of the screen. This legend helps identify edge level speed data.
02:19
When you hover over the icon, a window will pop up. That's where you'll manage the visuals.First, we'll select car as the vehicle type, for mode we'll choose raw, and for the aggregate we'll choose average.
02:35
So to find out if the event had an impact on network speeds, all you have to do is toggle the date selection. We'll make sure we only have the tour date selected. You can see most of the roads are either orange or red. According to the legend, that means cars travelled slower than 15km/h or between 15 to 40km/h.
02:57
While we're here, let me show you a cool trick to find road closures on the platform. First, turn off the Network Speeds map layer and turn on G-Force map layer.We'll scroll across to Olympic Boulevard. Immediately you can see almost no data on this section of road.
03:16
This indicates road closures during the concert. It could also impact network speeds and cause congestion on the network. The second question we'll ask is what was the change in average speed for cars travelling on Australia Avenue?
03:33
First, we'll open the Results Panel, and we'll select both date ranges. We'll select the path that says Australia Avenue North. And then we'll pick cars in vehicle types.
03:44
Next, we'll click on this Table button in Speed Analysis for a summary. Looking at the Average column, we can see before the concert the average speed was 48.67km/h, and during the concert, the average speed dropped to 40.8km/h. So the average speed dropped by roughly 7km/h. If we turn on the southbound path, we can see a decrease of about seven kilometers there too. This table gives us an overview, but if we want to see behaviour along the path, we'll go to the Chainage graphs.
04:21
We'll just focus on the northbound path for now. Hovering over the graph you can see where cars will drop or increase in speed.
04:34
Finally, we need to find out what braking behaviour was like along Bennelong Parkway. To do this we'll select both date ranges. Choose the correct Bennelong Parkway path and choose car in vehicle types.
04:48
Then we'll go to the G-Force over distance graph, where we'll select the Braking option. This data shows that vehicles were travelling slower and experiencing harsher braking and acceleration during Taylor Swift's performances.
05:05
And that's it. Through this analysis, we identified significant speed reductions, increased instances of harsh braking, and notable changes in traffic flow due to road closures.
05:17
Now, you can apply these skills to your own studies, or try following along with this video. Just know that the platform is constantly updating its data set so results may vary, but the steps are generally the same. We'll see you in the next practice lesson.
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