The AAAI Workshop on Artificial Intelligence for Transportation WAIT-15

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Austin, Texas, USA, January 26 2015

The transportation domain is increasingly taking up AI techniques in the design of products and systems.
Cars nowadays implement machine learning algorithms. When searching for a route on a mobile, solutions
are provided through AI algorithms. In this workshop, we will explore a fast-growing application domain in
which AI techniques are crucial for creating the next generation of tools and research methods.

The workshop will give examples of on-going concrete research, but also of the value that this creates for travellers
and cities. The process and project issues that are associated with AI in this domain that is so close to real-world
human behaviour will be discussed and illustrated.

About our invited speaker

Scott_Sanner.jpg
Scott Sanner is a Principal Researcher at NICTA Canberra and Adjunct Faculty at the Australian National University where his research spans a broad range of topics from machine learning to optimization.

Schedule

Room: Hill Country A on the 1st level of the hotel
Time Session
9:00 to 9:05 Opening remarks
9:05 to 10:05 Invited talk. Scott Sanner, NICTA and The Australian National University. A Non-homogenous Time Mixed Integer LP Formulation for Traffic Signal Control
10:05 to 10:30 Paper presentation. Isaac Isukapati and Stephen Smith. Viewing Traffic Signal Control as a Market-Driven Economy
10:30 to 11:00 Coffee break
Paper presentations. Session chair: Emmanuel Boidot
11:00 to 11:25 Haris Aziz, Casey Cahan, Charles Gretton, Philip Kilby, Nicholas Mattei and Toby Walsh. A Study of Proxies for Shapley Allocations of Transport Costs
11:25 to 11:50 Yuichi Enoki, Ryo Kanamori and Takayuki Ito. Pricing Procedure in Accordance with Characteristic of Parking Utilization - Analysis Example of Massive Parking Accounting Data
11:50 to 12:15 Tim Tiedemann, Thomas Voegele, Mario M. Krell, Jan H. Metzen and Frank Kirchner. Concept of a Data Thread Based Parking Space Occupancy Prediction in a Berlin Pilot Region
12:15 to 13:30 Lunch break
Paper presentations. Session chair: Tim Tiedemann
13:30 to 13:55 Ariel Rosenfeld, Amos Azaria, Sarit Kraus, Claudia V. Goldman and Omer Tsimhoni. Adaptive Advice in Automobile Climate Control Systems
13:55 to 14:20 Xiaodong Yue, Longbing Cao. Multi-view Actionable Patterns for Managing Traffic Bottleneck
14:20 to 14:45 Emmanuel Boidot, Aude Marzuoli and Eric Feron. Optimal planning strategy for ambush avoidance
14:45 to 15:10 Robert Morris, Ernest Cross, Jerry Franke, Mai Lee Chang, Waqar Malik, Garrett Hemann, Kerry McGuire and Robert Garrett. Self-Driving Aircraft Towing Vehicles: A Preliminary Report
15:10 to 15:35 Robert Morris, Kristen Venable and Matthew Johnson. Optimizing Rotorcraft Approach Trajectories with Acoustic and Land Use Models
15:35 to 16:00 Coffee break
16:00 to 17:00 Open discussion

Format and audience

The workshop will include one invited talk, paper presentations and time for discussions. The intended
audience includes not only AI researchers and practitioners working in transportation problems, but also
researchers interested in the challenges and the opportunities featured by transportation as an AI benchmark domain.

Workshop objectives

  • Encouraging a stronger interaction between AI and transportation.
  • Exposing and investigating real-life transportation problems that can be tackled with AI.
  • Presenting new results, work in progress and promising directions.
  • Providing a forum for interaction and discussion.

Accepted papers

  • Robert Morris, Ernest Cross, Jerry Franke, Mai Lee Chang, Waqar Malik, Garrett Hemann, Kerry McGuire and Robert Garrett. Self-Driving Aircraft Towing Vehicles: A Preliminary Report
  • Tim Tiedemann, Thomas Voegele, Mario M. Krell, Jan H. Metzen and Frank Kirchner. Concept of a Data Thread Based Parking Space Occupancy Prediction in a Berlin Pilot Region
  • Robert Morris, Kristen Venable and Matthew Johnson. Optimizing Rotorcraft Approach Trajectories with Acoustic and Land Use Models
  • Yuichi Enoki, Ryo Kanamori and Takayuki Ito. Pricing Procedure in Accordance with Characteristic of Parking Utilization - Analysis Example of Massive Parking Accounting Data
  • Haris Aziz, Casey Cahan, Charles Gretton, Philip Kilby, Nicholas Mattei and Toby Walsh. A Study of Proxies for Shapley Allocations of Transport Costs
  • Isaac Isukapati and Stephen Smith. Viewing Traffic Signal Control as a Market-Driven Economy
  • Ariel Rosenfeld, Amos Azaria, Sarit Kraus, Claudia V. Goldman and Omer Tsimhoni. Adaptive Advice in Automobile Climate Control Systems
  • Xiaodong Yue, Longbing Cao. Multi-view Actionable Patterns for Managing Traffic Bottleneck
  • Emmanuel Boidot, Aude Marzuoli, Eric Feron. Optimal planning strategy for ambush avoidance

Organizers

Adi Botea
IBM Research, Ireland
email: moc.mbi.ei|tsaLtsriF#moc.mbi.ei|tsaLtsriF

Sebastiaan Meijer
KTH Royal Institute of Technology, Sweden; and
Delft University of Technology, The Netherlands
email: es.htk|tsaLtinI#es.htk|tsaLtinI

In emails, FirstLast and InitLast should be replaced with the proper account name as follows. For a user called John Doe, FirstLast = johndoe and InitLast = jdoe

Programme Committee

  • Olivier Buffet, LORIA/INRIA, France
  • Daniel Harabor, NICTA, Australia
  • Akihiro Kishimoto, IBM Research, Ireland
  • Hans van Lint, Delft University of Technology, The Netherlands
  • Scott Sanner, NICTA and the Australian National University, Australia
  • Eswaran Subrahmanian, Carnegie Mellon University, USA
  • Vonu Thakuriah, University of Glasgow, UK
  • Fan Xie, University of Alberta, Canada

Important dates

  • Paper submission deadline: October 14 2014 October 22 2014
  • Acceptance/rejection notification: November 14 2014
  • Workshop date: January 26 2015

Submission

Submissions should be formatted with the AAAI style, and should not exceed 8 pages + 1 page of
references only. Shorter papers are perfectly acceptable. Submissions should be performed through
the EasyChair system, ar url https://easychair.org/conferences/?conf=wait15

Topics

There are many interesting problems at the intersection between artificial intelligence and transportation.
Topics include, but are not limited to:

  • Route planning and journey planning
  • Reasoning about uncertainty
  • Knowledge representation
  • Data mining for mobility data
  • Machine learning
  • Diagnosis
  • Scheduling for public transport and for ride sharing
  • Multi-agent transportation problems
  • Combining activity planning with route planning
  • Mixed-initiative approaches for decision making
  • Responding to disruptions in a transportation network
  • AI for unmanned vehicles
  • Gaming and interactive computing in transport
  • Empirical studies.
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