Introduction

Every driver has unique characteristics that are intrinsically linked to their emotional state.  This state can change quickly depending on what is going on in a person's life. Indeed, even in a single short journey, a commuter’s emotions can oscillate dramatically.  This emotive state influences everything from speed and acceleration, to braking reaction times and lane-changing tendencies.  

The Challenge

In this challenge, we want to build a traffic simulator that directly accounts for commuters' emotional states and use this model to directly relate emotive well-being to traffic flow. All things being equal, does a calm and emotionally balanced driving pool make for a faster commute?

Learning Outcomes

Students on this challenge will have the opportunity to acquire the following outcomes:

• Work in a multi-disciplinary team to explore commuters’ emotional states
• Design a prototype for a traffic simulator that contributes to improved traffic flow and the well-being of the commuter.

Target Groups

Commuters, citizens, vast majority of society. 

It is expected that solving this challenge will enhance the experience of commuters and generally contribute to a better sense of societal well-being. 

Application deadline

26th September 2022

Format and Workload

This challenge will be entirely online,  supported by the DCU Virtual Learning Environment.

Typical workload will include 3 x 0.5 day online synchronous attendance over October - December (dates to be confirmed soon) plus approx. additional 12 hours working as a remote team advancing the challenge.

Additional requirements

Mathematical and simple programming background is necessary to adequately engage with this challenge.