TrafficSense -Energy Efficient Traffic with Crowdsensing (2013-2017)

Project leader: D.Sc Seppo Törmä

TrafficSense aims at improving the energy efficiency of traffic with a mobile crowdsensing service that learns users’ regular door‐to‐door routes ‐ composed e.g. of walking, biking, driving a car, or riding a bus ‐ and can detect in real‐time the likely routes users are following. Based on the current locations, routes, and destinations of users as well as velocities at road segments, the traffic situation can be determined and short‐term predictions generated. Users can be given correct, personalized, and real‐time information about the relevant traffic events enabling them to make well‐informed transportation choices: take a bus, share a ride, use remote parking, avoid a congestion.

Take a few minutes to see the video of the research problem!

Due to its benefits, people will have an incentive to voluntarily use the service, and the situational awareness of traffic will improve over time. This provides opportunities to increase the utilization of shared vehicles ranging from public transportation to demand responsive transport and ridesharing; moreover, it allows system level optimization through adaptive traffic control measures. Both of these have a significant potential to increase the energy efficiency of traffic.

Previous experiments on mobile crowdsensing in traffic have focused on private cars and route choices of individuals; the novelty of TrafficSense is in its focus on energy efficiency of the whole traffic system and the coverage of multimodal, door‐to‐door routes. However, to be used in practice, the service must not drain the battery of a mobile device. The energy consumption of sensor observations needs to be reduced through advanced sensor management based on complex event processing technology and context recognition of the mobile device. The project will utilize existing methods for energy‐efficient mobile sensing.

 

 

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