University Group Hopes To Predict Traffic Delays

Huron Line and Ambassador Bridge

The Cross-Border Institute at the University of Windsor is gathering data from five locations around the Ambassador Bridge in order to predict pending traffic delays.
Photo by Ian Shalapata.

(WINDSOR, ON) – The University of Windsor’s Cross-Border Institute (CBI) has started analyzing the first set of traffic data collected by remote sensors, which count trucks and cars crossing the Canada-US border at the Ambassador Bridge.

The data is being collected through five pole-mounted, solar-powered remote traffic microwave sensors (RTMS) installed near the Ambassador Bridge crossing. The sensors gather information about movement of traffic in the Windsor-Detroit corridor. The collected information will be used to develop predictive delay models for drivers.

“This is important information because it will help us to predict delays an hour or more in advance,” said CBI director Bill Anderson. “So drivers heading toward the border can be informed of what delay to expect when they reach the bridge, rather than just the current delay.”

The sensor data will also be useful for UWindsor researchers who are applying mathematical models that can help improve the performance of border inspection and toll plazas.

“The next steps will be to fuse the sensor information with traffic counts from highway sensors in Ontario and Michigan, and with GPS data from individual trucks to create a regional system for monitoring border-bound traffic and predicting border delays,” said CBI associate director Hanna Maoh.

The CBI researchers hope to have the system up and running in about a year.

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About the Author

Ian Shalapata

Ian Shalapata is the owner and publisher of Square Media Group. He covers politics, the police beat, community events, the arts, sports, and everything in between.

His imagery and freelance contributions have appeared in select publications and for organizations in Canada and the United States.

Contact Ian with story ideas.

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