Modern vehicles are increasingly being equipped with rich instrumentation that enables them to collect location aware data on a wide variety of travel related phenomena such as the real-world performance of engines and powertrain, driver preferences, context of the vehicle with respect to others nearby, and--indirectly--traffic on the transportation network itself. Combined with their increased access to the Internet, these  connected vehicles  are opening up vast opportunities to improve the safety, environmental friendliness, and the overall experience of urban travel. However, significant spatial computing challenges need to be addressed before we can realize the full potential of connected vehicles. This paper presents some of the open research questions under this theme from the perspectives of query processing, data science and data engineering.
['Reem Y. Ali', 'Venkata M. V. Gunturi', 'Shashi Shekhar', 'Ahmed Eldawy', 'Mohamed F. Mokbel', 'Andrew J. Kotz', 'William F. Northrop']
Future connected vehicles: challenges and opportunities for spatio-temporal computing