The absolute and social comparative analysisof driver performance on a simulated road

network

G A U TA M R . D A N G E 1 , P R AT H E E P K . PA R A N T H A M A N 1 , M A R C O S A M A R I TA N I 1 , O U S S A M A S M I A I 1 , F R A N C E S C O B E L L O T T I 1 , R I C C A R D O B E R TA 1 , A L E S S A N D R O D E G L O R I A 1 , E R M A N N O D I Z I T T I 1 , J E N S P O N T O W 2

1 - D I T E N , U N I V E R S I T Y O F G E N O A , V I A O P E R A P I A 1 1 A , 1 6 1 4 5 G E N O A , I TA LY

2 - F R A U N H O F E R I N S T I T U T E F O R O P E N C O M M U N I C AT I O N S Y S T E M S F O K U S , A U T O M O T I V E S E R V I C E S A N DC O M M U N I C AT I O N T E C H N O L O G I E S , K A I S E R I N - A U G U S TA - A L L E E 3 1 , 1 0 5 8 9 B E R L I N , G E R M A N Y

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

Contents Introduction

System Architecture

Evaluation Methods

Results

Ongoing work

Conclusion

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

Introduction

The exploitation of Serious games in automotive domain to inculcate the safe and green driving patterns will be the best way to instill better driving traits among the road users.

Need for proposed design ? The Qualitative evaluation schema to gauge and enhance the driver performance

Establish a social serious game to benefit the road users

The comparative analysis model to estimate the driver performance based on absolute and social comparisons.

Visualization factor - Representation of user performance on Google maps .

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

Research CollaborationTEAM (Tomorrow’s Elastic Adaptive Mobility) – EU FP7 project

Major Aim:

Utilization of mobile devices (smartphones, tablets and etc.) to form a collaborative network of road users in order to adapt for dynamic situations that would account for road safety.

Outcomes:

Digitalization of system and processes

Formation of collaborative network of road users

Providing coaching and feedback on driver performance

Inculcation of green and safe driving patterns

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

System Architecture

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

Design and control flow

Simulation of road network by manipulating the vehicle signals

Evaluation of Green drive and Fluid traffic by Linear distances driver evaluation module

Use of Map-matching module to rectify the inaccurate Geo-references

Tabulation of user performance on road network in Aggregation Server

Representation of Live analysis of User performance on Smartphone

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

Functionalities and Unit descriptionsUnification of four architectures

Vehicle simulation Unit

Generation of vehicle signals of 40 vehicles

Exploitation of Map-matching module to secure the accurate

geo-references

Driver Performance Evaluator

Linear Distances based driver evaluation

Evaluation of Green driver and Fluid Traffic

Aggregation server

Storehouse of Users and vehicle details

Performance computation

Geo-references Inventory

Live user performance enabler

Bluetooth connectivity

Performance analysis

Map projection

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

ImplementedSystem

Architecture

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

Evaluation Methodology

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

Evaluation methodsAbsolute performance analysis:

Display of user evaluation results based on green Drive and fluid Traffic on the scale of Traffic light(with colors corresponding to performances).

Social Performance Analysis:

Comparison of average User performance against the average of all the users on the road network.

1 user Vs. 40 users.

Comparison based on historic and current values

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

User Interface on Smartphone Representation of Live analysis

based on absolute and social comparisons

Performance analysis of historic and current values.

Display of links on Google Maps

Live Analysis Map Projection

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

Results

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

Results - Absolute performance plots

Green Drive Absolute Analysis Fluid Traffic Absolute Analysis

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

Results – Green Drive statistical report

Evaluation of green drive results based on acceleration, brake and RPM signals

Comparative analysis of current and historic performances

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

Results – Fluid Traffic statistical Report

Evaluation of Fluid traffic results based on Speed signals

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

Ongoing work Extended real-time driver performance

analysis

Development of live gaming scenario for gauging user performance on the basis of Green drive.

Statistical performances of users

Evaluation models using the sensors of smartphone(Accelerometer and Gyroscope) for assessing harsh driving patterns.

Establishment Inter app communication for live gaming

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

Conclusion An evaluation approach for uplifting the driver behavior using GamifiedEnvironment.

Prudent mechanism for real-time analysis of driver performance.

Smartphone based User interface:

Live analysis of Absolute and relative performance reports.

Representation of performance on Road links.

Instilled the qualitative grading pattern for gauging the user performance on the aspects of Green Drive and Fluid Traffic.

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME

Thank You for Listening

Questions?

GAMES AND LEARNING ALLIANCE CONFERENCE 9- 11 TH DECEMBER 2015 ROME