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Mission-oriented Project. A Platform for Location Aware Service with Human Computation, PLASH. Ling-Jyh Chen, Meng Chang Chen, Sheng-Wei Chen, Jan-Ming Ho, Wang-Chien Lee, Jane Liu, De-Nian Yang. Presenter: Meng Chang Chen. Intelligent & Ubiquitous Computing Center.

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slide1

Mission-oriented Project

A Platform for Location Aware Service with Human Computation, PLASH

  • Ling-Jyh Chen, Meng Chang Chen, Sheng-Wei Chen, Jan-Ming Ho, Wang-Chien Lee, Jane Liu, De-Nian Yang

Presenter: Meng Chang Chen

intelligent ubiquitous computing center
Intelligent & Ubiquitous Computing Center

Technical DevelopmentMobile Networking & CommunicationMultimedia Content Management

Virtual infrastructure for interactive cloud app.

Platforms

PLASH

Industrial Collaboration +

history of plash
History of PLASH
  • Kicked off in August 2009
    • Supported by NSC NCP office
    • Also supported by CITI & IIS
    • A 3-year project
  • Personnel
    • Ling-Jyh Chen, Meng Chang Chen, Sheng-Wei Chen, Jan-Ming Ho, Wang-Chien Lee, Jane Liu, De-Nian Yang
    • 10 -12 Research Assistants
goals and deliveries of plash
Goals and Deliveries of PLASH
  • To provide a platform to allow voluntary users via “human computation games” to contribute their location-based observations/efforts so as to facilitate some difficult location aware tasks.
    • (Difficult location aware tasks) City profiling (surface traffic estimation, telecommunication network performance monitoring, city trend analysis) trip planning, spot locating, etc.
  • To explore novel technologies to support the location aware platform and applications.
    • Massive data mining, location-based query, image-assisting positioning, indoor positioning/tomography
goals of plash contd
Goals of PLASH (contd.)
  • To design a layered architecture to allow application builders to conveniently create their systems.
  • To provide a location-based dataset benchmark for various research
  • To build and transfer prototype to potential receivers.
  • To promote the use of wireless communications.
slide6

<VID, GPS Position, Time, other info>

Scenario 1: traffic estimation and dynamic routing

Volunteers send information periodically

<VID, GPS Position, Time, other info>

slide7

1. System derives traffic conditions.

Jammed Area

Jammed Area

Green Area

Green Area

Green Area

Green Area

Jammed Area

4. Dynamic reroute.

3. Now it is jammed!

2. System derives a route.

Original navigation

Re-routed navigation

slide8

Scenario 2: available parking locating: V2V

<Parking Available>

<Looking for Park space>

slide9

Scenario 2: available parking locating: V2I2V

3G, WiMax

Mobile AP

(taxi, bus)

802.11g

Users (source)

Destination

Mobile Access Cluster

plash architecture
PLASH Architecture

Applications

Map N’ Track

Itinerary recommendation

Friend compass

Massive data mining

Technologies

Fundamental services

Literacy Enabling

Service

Service layer

Data layer

Data representation, storage and access

City Profiling

Geo-location query

V2I, V2V

Localized data assimilation

Communication layer

progress of 1 st year
Progress of 1st Year
  • Literacy Enabling Web Service for Location-Aware Systems
    • Goal: to assist identifying location by using image
  • Geo-location Query Service
    • Goal: to provide on-line geo-location query service
  • Localized Data Dissemination in V2V networks
    • to develop a localized data dissemination scheme via exploiting the intermittent connectivity of vehicle networks.
  • Location-related Applications
    • Map N’Track Friends: let your friend know where your travel route
    • Itinerary recommendation: provide personalized route
    • Friend compass: indicate where a friend is
future work
Future Work
  • Deployand operate the following applications
    • Track-a-friend: let your friend know where your travel route
    • Travel route recommendation: provide personalized route
    • Friend compass: indicate where a friend is
    • TAF (TO and FRO)
  • Innovative enabling technologies and applications
    • Location-aware user experience summarization using comic Maps
    • Road anomaly detection using smart phones
    • Moving object clustering
  • City Profiling
    • Understanding the service performance of carriers
    • Surface traffic estimation
  • Allow volunteers to build their application by using provided APIs on PLASH. Could be SaaS or PaaS.
plash future architecture
PLASH Future Architecture

Matured application logic becomes a fundamental service

APP 1

APP 2

APP n

Fundamental services

Service layer

Data representation, storage and access

Data layer

Communication layer

V2I, V2V

plash future architecture1
PLASH Future Architecture

APP 1

APP 2

APP n

Volunteer can use APIs to build and upload new applications

External Application Server

Standard APIs

PLASH Platform

APIs

  • Authentication (login/logout)
  • Friend relation
  • Store location data
  • Query location data
  • Query Point of Interest
  • ..
  • ..
  • ..
  • ..
  • ..
plash future architecture example
PLASH Future Architecture – Example

Volunteer builds an e-coupon service

Coupons On the Go

Coupon Service

Coupon DB

Standard APIs

PLASH Platform

Let me know if my user is within 100 meters

nd towards me.

Geo-Range query

plash future architecture example1
PLASH Future Architecture – Example

Send the user an e-coupon

Coupons On the Go

Coupon Service

Coupon DB

Update location data

Standard APIs

PLASH Platform

Geo-Range query

Find a user satisfying the range query

plash future architecture2
PLASH Future Architecture

Coupon Service

APP 1

APP 2

APP n

Real-Time Traffic

Hopefully many volunteer services built on PLASH

Standard APIs

Route Suggestion

PLASH Platform

Other Location-Based Services

potential plash receivers
Potential PLASH Receivers
  • Literacy Enabling Web Service and Comic Summarization
    • Location-based service providers
  • Location-based Human Computation Games
    • Phone manufacturers, telecom carriers
  • City Profiling
    • Traffic authority, telecom carriers, map service providers
  • V2V related technologies
    • ITS-related industry
  • PLASH platform
    • Carriers
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