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Traffic4cast 2022 competition calls on machine learning

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Traffic4cast 2022 competition calls on machine learning
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  • Individuals tasked to mannequin and forecast site visitors congestion throughout three international cities
  • Represents distinctive real-world, graph-based prediction drawback
  • Winners to be introduced at prestigious NeurIPS 2022 convention

August 2, 2022

Vienna – The Institute of Superior Analysis in Synthetic Intelligence (IARAI), an impartial international machine studying analysis institute, has introduced the opening of its fourth annual Traffic4cast competitors in collaboration with HERE Applied sciences. Individuals are challenged to make the most of the newest in AI strategies to mannequin and predict future site visitors congestion ranges and automobile speeds throughout London, Madrid and Melbourne.

The IARAI Traffic4cast competitors is exclusive in merging AI with real-world datasets and site visitors analysis to advance the understanding of complicated site visitors dynamics and techniques. Winners will obtain prizes at NeurIPS 2022, the main convention in AI, and a quantity inside the Proceedings of Machine Studying Analysis will spotlight contributions of the Traffic4cast 2022 Competitors.

The competitors consists of two years of real-world knowledge supplied by HERE Applied sciences, derived from billions of GPS factors from automobile fleets. New this 12 months, members will leverage knowledge from site visitors loop counters embedded within the roadways of London, Madrid and Melbourne. The intention is to scale back the boundaries for utilizing available, public loop counter knowledge to foretell future site visitors state of complete cities.

Traffic4cast 2022

  • Core problem – members are requested to foretell the congestion degree lessons (crimson/yellow/inexperienced) for your complete highway graph 15 minutes into the longer term from the previous hour of site visitors loop counter knowledge solely.
  • Prolonged problem – members are invited to foretell the common speeds on every highway phase of the graph 15 minutes into the longer term from the previous hour of site visitors loop counter knowledge solely.

HERE will present members with site visitors film clips primarily based on two years of real-world knowledge for London, Madrid and Melbourne. The clips had been created utilizing HERE knowledge primarily based on greater than 100 billion GPS probe factors from a big fleet of autos. The information has been absolutely anonymized and reworked into high-definition film clips that, body by body, depict site visitors over time, together with morning, night and rush hour site visitors occasions. 

The competitors brings collectively researchers throughout the globe from a number of outstanding areas of machine studying, together with graph-based modeling, switch studying, deep studying, and time sequence prediction. The competitors final 12 months centered on the time-domain shift in site visitors attributable to COVID-19.

Sepp Hochreiter, a founding co-director of IARAI and a man-made intelligence pioneer, who invented the lengthy short-term reminiscence (LSTM) neural community structure, stated: “Constructing on the three years of success at NeurIPS 2019–2021, Traffic4cast continues to enhance our understanding of complicated site visitors techniques. This 12 months, researchers of recent machine studying will predict site visitors congestion in complete cities simply from the automobile counters out there on chosen factors. In addition to site visitors congestion, superior fashions are alleged to additionally predict the common speeds on a community of roads. Our competitors will assist to advance and to take advantage of the newest methods in machine studying like graph neural networks or physics impressed neural networks.”

“Site visitors congestion is a common problem that requires deep evaluation to grasp ‘the hidden guidelines’ shaping automobile actions. I’m due to this fact excited to see what predictive fashions this 12 months’s members can generate utilizing this expansive new dataset from HERE and the newest advances in AI and machine studying,” stated Reinhard Köhn, Head of Analysis at HERE Applied sciences.

The annual Traffic4cast competitors receives a whole lot of submissions from competing groups internationally, with previous winners from South Korea, the U.S., China and Sweden.

The winners of the core problem (congestion lessons for your complete highway graph) will obtain the next prizes:

  • 1st place – a voucher or money prize price 5,000 EUR to the participant/workforce plus one free NeurIPS 2022 convention registration.
  • 2nd place – a voucher or money prize price three,000 EUR to the participant/workforce plus one free NeurIPS 2022 convention registration.
  • third place – a voucher or money prize price 2,000 EUR to the participant/workforce plus one free NeurIPS 2022 convention registration.

The winners of the prolonged problem (common speeds on every highway phase) will obtain the next prizes:

  • 1st place – a voucher or money prize price 5,000 EUR to the participant/workforce plus one free NeurIPS 2022 convention registration.
  • 2nd place – a voucher or money prize price three,000 EUR to the participant/workforce plus one free NeurIPS 2022 convention registration.
  • third place – a voucher or money prize price 2,000 EUR to the participant/workforce plus one free NeurIPS 2022 convention registration.

Submissions for this 12 months’s competitors are due by October 15, 2022. To be taught extra and compete in Traffic4Cast 2022, click on right here.

Media Contact
Dr. Sebastian Kurme
+49 173 515 3549
[email protected] here.com

Jordan Stark
+1 312 316 4537
[email protected] here.com

About HERE Applied sciences
HERE, a location knowledge and know-how platform, strikes folks, companies and cities ahead by harnessing the ability of location. By leveraging our open platform, we empower our clients to realize higher outcomes – from serving to a metropolis handle its infrastructure or a enterprise optimize its belongings to guiding drivers to their vacation spot safely. To be taught extra about HERE, please go to right here.com and 360.right here.com.

 

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