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DTSTAMP:20191206T142454Z
LOCATION:Panorama 3
DTSTART;TZID=Europe/Stockholm:20180626T112500
DTEND;TZID=Europe/Stockholm:20180626T115000
UID:isc_hpc_ISC High Performance 2018_sess123_inv_sp151@linklings.com
SUMMARY:How Car Manufacturers Face Challenges of Urban Mobility by Changin
 g the Way They Think and Act
DESCRIPTION:Focus Session\n\nHow Car Manufacturers Face Challenges of Urba
 n Mobility by Changing the Way They Think and Act\n\nHauschild\n\nThe auto
 motive industry is facing a transition phase greater that anything experie
 nced during it’s over 100 years history. Customer demand is transforming i
 nto an always present, always on, instantly available culture. At the same
  time emerging technologies like IoT, connected and autonomous vehicles an
 d new players are likely to disrupt current working business model day by 
 day. Some important factors which will influence and, finally, transform t
 oday’s world of mobility in the next decade and beyond.\n\n1-	The continui
 ng global growth of the demand for both individual mobility and logistics 
 leads to transport systems hitting their capacity limits more and more oft
 en. As a consequence, transport systems need to be managed more intensely 
 than before to exploit their design capacity to an ever-higher degree. Tra
 ffic and transport strategies need to be implemented in technically and in
  real time as opposed to described on paper for human operators.\n\n2-	The
  organic growth of on-demand mobility introduces transport systems and veh
 icle fleets which offer new possibilities for optimizing utilization and f
 or establishing the highest possible transport performance with the lowest
  possible invest in assets and infrastructure. However, the optimization p
 roblems become more and more difficult with increasing fleet sizes.\n\n3-	
 The transition to autonomous vehicles and autonomous operation of transpor
 t systems transforms intelligent fleet management from an option for highe
 r efficiency and more reliability into a sine qua non. Without smart algor
 ithms they won’t move at all.\n\nMany of the problems which need to be sol
 ved in this context scale poorly, many of them are even NP-complete, i.e. 
 the best solutions can only be calculated in exponential time. More often 
 than not, however, they are required in real-time. The investment in high 
 performance computing in traffic and transport can yield efficiency gains 
 of the order of 10-50% compared to naïve solutions.\n\nPasses: Conference 
 Pass, AI/Machine Learning/Deep Learning, Autonomous Driving, Big Data Anal
 ytics, Clouds and Distributed Computing\n\nTag: Conference Pass, AI/Machin
 e Learning/Deep Learning, Autonomous Driving, Big Data Analytics, Clouds a
 nd Distributed Computing
URL:https://2018.isc-program.com/presentation/?id=inv_sp151&sess=sess123
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