行動與車輛網路實驗室 MOBILE AND VEHICULAR NETWORK LABORATORY 蔡欣穆 教授 Prof. Michael Tsai [email protected] 2011/05/19 Personal Information • B.S.E., Computer Science and Information Engineering, National Taiwan University • M.S.

Download Report

Transcript 行動與車輛網路實驗室 MOBILE AND VEHICULAR NETWORK LABORATORY 蔡欣穆 教授 Prof. Michael Tsai [email protected] 2011/05/19 Personal Information • B.S.E., Computer Science and Information Engineering, National Taiwan University • M.S.

1

行動與車輛網路實驗室

MOBILE AND VEHICULAR NETWORK LABORATORY 蔡欣穆 教授

Prof. Michael Tsai [email protected]

2011/05/19

Personal Information

• B.S.E., Computer Science and Information Engineering, National Taiwan University • M.S. & Ph.D., Electrical and Computer Engineering, Carnegie Mellon University • • Research intern at GM R&D in 2006-2009 Joined the department ( 資工所 & 網媒所 ) in August 2010 • Past & current research partners: • Intel Lab • General Motors • Carnegie Mellon University • Brand new laboratory in R424

2

Our lab in R424

3

3G/WiMax

4

V2V radio transceiver Road Side Unit Communications make you and your car aware of events taken place around and away from you.

It will change our life on the road.

What can vehicular networks do for you?

• Safety related • Warn you about an accident ahead (emergency break) • Tell you a component in your car is about to fail • Energy related • Provide routing to avoid a traffic jam • Smart traffic light (or, “no traffic light”) • Information and entertainment (“Infotainment”) • Advertisement • Electronic Toll Collection • Social networking for passengers • Internet connection

5

6

Current Focus: Improve road safety for scooters • In Taiwan, scooters/motorcycles account for 68.34% of all registered vehicles (2010). • Accidents involving scooters/motorcycle account for most of fatalities/injuries (and rising!) (w.r.t to total fatalities)

7

Explore and demonstrate v2v-based application to improve driving safety for scooter drivers Collision Avoidance for Intersections

Red-light Runner

Low traffic intersections

8

Vehicle mobility simulation

Discrete Time & Discrete Location : :scooter(2x1CUs) : :car(6x2CUs) Applications: • Accurate estimation of link quality between vehicles • Help the design of a routing protocol

9

10

Validation: vehicle mobility traces

LIDAR: Courtesy of Prof. Bob Wang • LIDAR: take series of “pictures” of objects closest to it • We can “record” the vehicle mobility traces • Validate our simulation model with real-life traces • Trajectories • Vehicle speed

11

12

Link Quality Measurements at road corners

30 m 5 m Chipcon CC2420 2.4 GHz ZigBee Radio + 8 dBi Rubber Duck Antenna 10 m

12

Packet reception rate:

Intersection

Average RSSI:

13

0.1832

0.806

Visible Light Communication

14

• Use “on-and-off” of the (LED) traffic lights and head/tail lights to communicate with each other • Capable of > 10 Mb/s • Minimized Interference • Applications: • Relative positioning of neighbor vehicles (much better than GPS: <1 m accuracy) • Communications between the traffic lights and the vehicles http://www.technologyreview.com/blog/editors/23723/ “Visible Light Positioning: Automotive Use Case,” Richard Roberts, Praveen Gopalakrishnan and Somya Rathi, IEEE VNC 2010

Take-away points

• Join us if you like cars/scooters/driving.

• Join us if you like lots of hands-on/practical experience.

• Join us if you like to “see/touch/feel” your efforts.

• Join us if you like to play with cool gadgets:

15

Feel free to e-mail me for an appointment or talk to lab members in R424