麻豆视频

Mapping the city: smart transport data pave the way for a driverless future

CVST map of the Greater Toronto area. The red, yellow and blue circles represent the number of data points in a specific location.
CVST map of the Greater Toronto area. The red, yellow and blue circles represent the number of data points in a specific location.

Mapping the City is an ongoing series on the stories we can tell about people and places in Toronto through maps created by University of Toronto students and faculty.

In the third instalment, 麻豆视频 News writer Romi Levine profiles the work of Alberto Leon-Garcia.

Read part one: how transit can fix access to jobs

Read part two: what Toronto's waterways can tell us


鈥淚t鈥檚 a map but it鈥檚 more of a platform to do smart things.鈥

That鈥檚 how Alberto Leon-Garcia, professor in electrical and computer engineering at the University of Toronto, describes the 鈥 an ambitious, interactive map of Toronto that gives you a real-time picture of how people get around the city.

鈥淲e took it upon ourselves to build a platform that would be able to, in a snapshot, tell us everything we needed to know about the transportation network,鈥 says Leon-Garcia, who is the scientific director of CVST.

鈥淭here鈥檚 something like 4000 streams of data here,鈥 says Leon-Garcia.

Everything from speeds in certain segments of the highway, bus locations, and bicycle rental occupancies, to different types of cameras is represented on the map.

The platform has many practical uses, says Leon-Garcia, like improving traffic flow, reducing travel times and providing traveller advisories.

The red, yellow and blue circles represent the number of data points in a specific location. Zoom in and you can see the specific points, like a fixed camera or even the view from a drone.

Leon-Garcia says the drones are used to show how a city could utilize the gadgets for effective traffic surveillance.

鈥淵ou can see a lot further and you can pan 鈥 you can choose a direction 鈥 a lot better than fixed cameras,鈥 he says.

鈥淥ne of the things we鈥檙e exploring is the use of drones to gather real-time information about events in certain locations in the city,鈥 says Leon-Garcia.

The drones could be used to share information with the city and services like police and paramedics, he says.

The most interesting application for the CVST map is its potential in a driverless-car future.

鈥淎s vehicles become autonomous, you鈥檙e going to need a control system that directs the flow of these autonomous vehicles across this map,鈥 says Leon-Garcia.

There are also implications when those vehicles become powered by electricity.

鈥淭here鈥檚 the management of the movement of the vehicles themselves,鈥 says Leon-Garcia, 鈥渂ut then there鈥檚 also the coordination with the power grid so there鈥檚 sufficient power where the vehicles go to be recharged.鈥

Maps like the CVST could also become a big environmental player.

鈥淚f you start looking at air quality, at putting sensors on energy consumption, if you start keeping track of the energy that鈥檚 used, this same map becomes a map of the carbon footprint in a region,鈥 says Leon-Garcia.

He says tracking emissions is a step toward reducing them.

With support from Ontario鈥檚 Ministry of Transportation and the City of Toronto, Leon-Garcia sees CVST growing with the city.

鈥淚n terms of meeting the challenges of cities, the interplay between public transit, subway, buses, bicycles and vehicles, especially as the nature of vehicles changes, there鈥檚 a lot of flexibility in terms of how things can evolve for the better 鈥 it鈥檚 exciting,鈥 he says. 

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