1. Jaehoon (Paul) Jeong, Taehwan Hwang, and Eunseok Lee
SANA: Safety-Aware Navigation App for Pedestrian Protection in Vehicular Networks
ICTC 2014, Busan, Korea
October 23, 2014
Jaehoon (Paul) Jeong, Taehwan Hwang, and Eunseok Lee
Computer Science & Engineering, Sungkyunkwan University

2. Contents I Vehicular Cyber-Physical SystemsII
Safety-Aware Navigation App (SANA)
III
Energy-Efficient Scheduling for SANA IV
Evaluation Plan V
Conclusion

3. Vehicular Cyber-Physical Systems (1/2)

4. Vehicular Cyber-Physical Systems (2/2)

5. Smart Vehicle in VCPS

6. VCPS Smart Services in Road Networks
Jaehoon Jeong and Eunseok Lee, "Vehicular Cyber-Physical Systems for Smart Road Networks", KICS Information and Communications Magazine, Survey Paper, vol. 31, no. 3, March 2014.

7. Network Architecture in VCPS

8. Safety-Aware Navigation App (SANA)
Road-Side Unit (RSU)
How can we achieve the accuracy for collision detection and smartphone’s energy-efficiency simultaneously?

9. Motivation (1/3) Distracted Walking
Most accident reason of pedestrian crossing the street
50 percent of all pedestrian deaths is among kids ages 19 and under.
Take Action to Prevent Distracted Walking,

10. GPS power consumptions
Motivation (2/3)
Battery Issue
Location-Based Services eat the battery 20 times faster than normal stand-by consumption.
GPS power consumptions
Pradip Suresh Mane and Vaishali Khairnar, “Power Efficient Location Based Services on Smart Phones”, IJETAE, vol 3, Issue 10, October 2013.

11. Working Time vs. Lifetime
Motivation (3/3)
Our Goal in SANA
Prolong Lifetime of Pedestrian’s Mobile Devices (e.g., smartphone and smart watch) by using Mobility Information through VCPS.
Working Time vs. Lifetime
Jaehoon Jeong and Eunseok Lee, "Vehicular Cyber-Physical Systems for Smart Road Networks", KICS Information and Communications Magazine, Survey Paper, vol. 31, no. 3, March 2014.

12. SANA : Safety-Aware Navigation App
Step 1
Predict possible collisions among vehicles and pedestrians.
Step 2
Perform energy-efficient scheduling through filtering out irrelevant vehicles.
Collision Prediction through Filtering out Irrelevant Vehicles
Trajectory-Based Collision Prediction

13. Pedestrian Protection Area – Warning Area

14. Pedestrian Protection Area – Pre-Warning Area

15. Pedestrian Protection Area – Cases for Scheduling
SANA Scheduling according to Contexts
Pedestrian’s Mobile Status by Vehicle Paths
1. Sleep
2. Warning
3. Wake-Up
4. Pre-Warning

16. Energy-Efficient Scheduling for SANA
Work-and-Sleep Schedule for Communications
At time t1, Pedestrian communicates with RSU for the duration to get work and sleep schedule.
At time t2 and t3, Pedestrian communicates with Vehicle 1 and Vehicle 2 to exchange the location and direction information to prevent possible collision, respectively.
Energy [mJ]
Time [sec]
t1+δ
t2+δ
t3+δ t3 t2 t1
sleep 1
sleep 2
sleep 3
communicate
with Vehicle 1
with Vehicle 2
with RSU
Work & Sleep Schedule of Pedestrian’s Mobile Device

17. User Response Experiment in SANA
Result
2-Step Warning (Pre-warning and Warning) reduces user response by 1.45 seconds.

18. VEINS for SANA Simulation
Evaluation Plan
Evaluation
Performance Index
Successful Prediction Rate
Sleep Time
Vehicles in Network Simulation (Veins)
Integrate OMNet++ & SUMO
Support simulation in real world maps
Full IEEE p implementation.
Specify location and speed of vehicles.
Research Issue
Minimize false warning
False Negative
False Positive
VEINS for SANA Simulation
in Real Road map

19. Conclusion
We propose SANA for Safety-Aware Navigation App to protect pedestrians from vehicles in streets.
SANA is Smartphone App integrated into Navigator App (e.g., Waze and Tmap).
SANA uses a communication scheduling algorithm to save smartphone battery
By using the mobility information of vehicles and pedestrians through VCPS.
As future, we will implement our SANA in both simulation and Android App.

20. Vision: VCPS as Innovative Technology.
Internet of Things (IoT)
Interaction
1. Driving Safety
2. Data Service
3. Driving Efficiency