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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