1. Traffic Data Analysis for Vehicular Network Connectivity
Xiaoyan Hong,
Associate professor
Computer Science
The University of Alabama
WiMaN Lab
DriveSense'14, Norfolk, VA, USA,Oct 30-31, 2014

2. A trace of exploring realistic traffic data for networking
Cellular data
group mobility
National Household Travel Survey (NHTS)
Agenda-Driven Mobility Model
UMassDieselNet trace
Localized mobility and Virtual Links
Time-Varying Contact Graphs for DTN
Taxi GPS traces (San Francisco Yellow Cabs)
Vehicle mobility and network connectivity
Speed up computation
Boolean Chain Matrix Multiplication (BCMM)
Integrated Road traffic
Signal correlation for enhancing communications

3. National Household Travel Survey (NHTS)
People’s movements are driven by their activities
Agenda-Driven Mobility Model
Generate mobility on the go
Use agendas to capture their activities
Demographic data
Combine social activities and geographical movements
Short/long realistic simulations
"An agenda based mobility model," 39th ANSS, Huntsville, AL., April, 2006; journal version 2010

4. UMass DieselNet trace Localized mobility and Virtual Links
Time-varying virtual link between two boxes in link delay and loading capacity
Capacity-Aware Routing Using Throw-Boxes”, IEEE GlobeCom 2011, Houston, Dec 2011

5. Time-Varying Contact Graphs
“Constructing Time-Varying Contact Graphs for Heterogeneous Delay Tolerant Networks”,
IEEE GlobeCom 2012, Dec 2012

6. Taxi GPS traces Vehicle mobility and network connectivity
Hotspots, trip stats, instantaneous velocity profile
Connectivity, partitions, delay, reachability
Spatial and temporal properties
Crowds and clouds
12/1/2018
Analysis of Mobility Patterns for Urban Taxi Cabs”, IEEE ICNC 2012, Hawaii, Jan. 2012

7. Average Degree of Connectivity
12/1/2018

8. Motivate alternative taxi haling methods
Union Square park, SF
Monday, 2-3pm
“Taxi Hailing System using Connected Vehicle Technology”, ITS World Congress, 2014

9. Speed up computation Application:
Boolean Chain Matrix Multiplication (BCMM)
bitwise manipulation of sparse matrix
Efficient storage
further scale to parallel processing
Application:
time varying topological properties, such as multi-hop vehicular connectivity and partitions
“Efficient Multihop Connectivity Analysis in Urban Vehicular Networks”, Vehicular Communications, Apr. 2014

10. Integrated Road traffic
Traffic signal correlation for enhancing communications
Large scale urban environments
Efficiency metrics, vehicle mobility
Different signal configurations
Correlation
Traffic condition
Connectivity
Xiaoyan Hong, Meng Kuai, etc., under review by a journal, submitted Sept 2014.

11. What now: Traffic signal correlation
Transportation traffic control, mobility, communications
Driving behavior and uncertainty
More modeling, temporal/spatial varying properties, microscopic features, GIS
Large-scale extreme conditions, emergency and recovery,
Tuscaloosa, "The Most Livable City in America" in 2011 by the U.S. Conference of Mayors
2011 tornado, recovery/rebuild, for a smart city

12. Challenges Preprocessing Invalid data records, different formats
Selecting for interesting data components
Mining for usable subgraphs
Use available tools vs develop own
Which dataset(s)?
Data privacy treatment

13. Questions? hxy@cs.ua.edu
Thank you!
Questions?