TASMU-QCAI Artificial Intelligence in Transportation work
Qatar Center for Artificial Intelligence @QCRI is pleased to invite the transportation and urban computing research community in Qatar to discuss and explore the potential of using AI for solving current and future challenges facing Qatar in the transportation sector.
The TASMU-QCAI Artificial Intelligence in Transportation workshop is being hosted by the Ministry of Transport and Communication’s Smart Qatar TASMU program and the Qatar Center for Artificial Intelligence (QCAI) of Qatar Computing Research Institute (QCRI), which is a research institute at Hamad Bin Khalifa University and a Qatar Foundation entity.
HE Ms. Reem Al-Mansoori, a Member of the Qatar Shura Council and Assistant Undersecretary for Digital Society Sector Development at the MoTC, will be delivering a keynote speech at the event. Additionally, Urban computing experts from Europe, the US and Qatar will be attending the workshop to discuss state-of-the-art advances in artificial intelligence for transportation with local stakeholders in Doha on November 22, 2018.
The international experts will include the University of Minnesota’s Shashi Shekhar, who developed technologies behind in-vehicle navigation devices in the 1990s. Dr. Shekhar has more recently developed disaster evacuation route planning that has been put in place by US homeland security.
Christian Jensen, a traffic analytics expert from Aalborg University in Copenhagen, who has devised large-scale algorithms to compute taxi fares in Denmark, will also attend. Archan Misra, of Singapore Management University and Director of the Centre for Applied Smart-Nation Analytics, will present his work on using public transport trip data to predict the number of commuters disembarking along bus and train routes. He has also used smart phone and wearable sensor data to predict effects on urban spaces such as queueing delays.
From Qatar, QCRI’s Sofiane Abbar, an urban mobility and transportation expert who is an organizer of the workshop, said the event will highlight some of QCRI’s technology being developed for local stakeholders including the MoTC, Mowasalat Karwa, Qatar Airways and the Qatar Mobility Innovations Center. The technology includes generating maps from real-time GPS trajectories and satellite images, and predicting congestion in different neighborhoods using taxi data.
Additionally, local stakeholders in Qatar are being represented by the (i) Raimund Hanauer, Director of Transportation Planning at Qatar Rail - who will talk about how AI and Big Data are disrupting Public Transport; (ii) Fethi Filali, CTO of QMIC will cover some of the latest locally-developed technologies for transportation; and (iii) Dr. Ramiz Al Assar, Land Transport Affairs Consultant, Ministry of Transport and Communications will outline the Ministry's perspective on this topic.
For more details about the event and speakers, please visit: https://qcai.qcri.org/index.php/events/ai-in-transportation/
Qatar Center for Artificial Intelligence @QCRI is pleased to invite the transportation and urban computing research community in Qatar to discuss and explore the potential of using AI for solving current and future challenges facing Qatar in the transportation sector.
The TASMU-QCAI Artificial Intelligence in Transportation workshop is being hosted by the Ministry of Transport and Communication’s Smart Qatar TASMU program and the Qatar Center for Artificial Intelligence (QCAI) of Qatar Computing Research Institute (QCRI), which is a research institute at Hamad Bin Khalifa University and a Qatar Foundation entity.
HE Ms. Reem Al-Mansoori, a Member of the Qatar Shura Council and Assistant Undersecretary for Digital Society Sector Development at the MoTC, will be delivering a keynote speech at the event. Additionally, Urban computing experts from Europe, the US and Qatar will be attending the workshop to discuss state-of-the-art advances in artificial intelligence for transportation with local stakeholders in Doha on November 22, 2018.
The international experts will include the University of Minnesota’s Shashi Shekhar, who developed technologies behind in-vehicle navigation devices in the 1990s. Dr. Shekhar has more recently developed disaster evacuation route planning that has been put in place by US homeland security.
Christian Jensen, a traffic analytics expert from Aalborg University in Copenhagen, who has devised large-scale algorithms to compute taxi fares in Denmark, will also attend. Archan Misra, of Singapore Management University and Director of the Centre for Applied Smart-Nation Analytics, will present his work on using public transport trip data to predict the number of commuters disembarking along bus and train routes. He has also used smart phone and wearable sensor data to predict effects on urban spaces such as queueing delays.
From Qatar, QCRI’s Sofiane Abbar, an urban mobility and transportation expert who is an organizer of the workshop, said the event will highlight some of QCRI’s technology being developed for local stakeholders including the MoTC, Mowasalat Karwa, Qatar Airways and the Qatar Mobility Innovations Center. The technology includes generating maps from real-time GPS trajectories and satellite images, and predicting congestion in different neighborhoods using taxi data.
Additionally, local stakeholders in Qatar are being represented by the (i) Raimund Hanauer, Director of Transportation Planning at Qatar Rail - who will talk about how AI and Big Data are disrupting Public Transport; (ii) Fethi Filali, CTO of QMIC will cover some of the latest locally-developed technologies for transportation; and (iii) Dr. Ramiz Al Assar, Land Transport Affairs Consultant, Ministry of Transport and Communications will outline the Ministry's perspective on this topic.
For more details about the event and speakers, please visit: https://qcai.qcri.org/index.php/events/ai-in-transportation/