matlas: a case study on milan mobility
TRANSCRIPT
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MAtlas: a case study on Milano, Italy
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Dataset info GPS traces
17K private cars
one week of ordinary mobility
200K trips (trajectories)
Milan, Italy
Data donated by OCTO Telematics Italia
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Overall view of trips performed in a single day (Wednesday, April 4th, 2007)
Difficult to understand anything
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Temporal analysis: intensity of traffic (n. of moving vehicles) per hour over the week
The same double-peeked shape for all days, a bit lower in the weekends
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Distribution of lengths of the trips
Neat power-law → several short trips, few very long ones
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Distribution of trip duration
Another power-law, similar shape
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How do length and speed of trips correlate?
Average length grows with avg. speed (right plot)
Yet, only slow trips reach considerable length (left)
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Where is traffic concentrated between midnight and 2 a.m.? (red = most intense)
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Where is traffic concentrated between 6 a.m. and 8 a.m.?
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Where is traffic concentrated between 6 p.m. and 8 p.m.?
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Select only trips that start in the city centre (orange) and move to North-West
Behaviours are still rather heterogeneous
Notice the O/D matrix navigation tool on the right
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Trajectory clustering divides trips based on the route they cover
Different color = different group
Outliers are removed
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Three sample clusters are highlightedOne group (red) goes straight to NW, the others follow
alternative routes
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Temporal analysis on each group tells us when they perform the trip
A small group in the morning (commuters working outside the city?) a much larger one in the afternoon (incoming commuters?).
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Origin/Destination analysis is flexible
Analyze traffic from/to city areas to/from parking lots
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Focus on a specific (high frequency) parking lot, close to Linate airport
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Analyze typical itineraries followed to reach such parking lot
T-Patterns → overall view
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T-Patterns: highlight one pattern that comes from the centre
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T-Patterns: highlight one pattern that comes from North, along the “tangenziale” (ring road)
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T-Patterns: highlight one pattern that comes from South, along the “tangenziale” (ring road)
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Where is people between 6pm and 8pm of Wednesday, April 4th?
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Where is people between 8pm and 10pm of Wednesday, April 4th?
An high density spot appeared
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Where is people between 10pm and midnight of Wednesday, April 4th?
The dense spot disappeared. What happened?
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Focus on the high-density spot
Centered on the parking lots of the stadium
April 4th, 2007: a football match took place there...
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Have a close look at when people arrived to the stadium, and when they left
Through O/D matrix tool, focus on traffic from/to stadium area
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Arrivals and departures distributed as expected (concentrated resp. before and after the match)
Small surprising result: some people start leaving around 30 minutes before the match ended...