Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving

by   Jimiama Mafeni Mase, et al.

Commercial driving is a complex multifaceted task influenced by personal traits and external contextual factors, such as weather, traffic, road conditions, etc. Previous intelligent commercial driver-assessment systems do not consider these factors when analysing the impact of driving behaviours on road safety, potentially producing biased, inaccurate, and unfair assessments. In this paper, we introduce a methodology (Expert-centered Driver Assessment) towards a fairer automatic road safety assessment of drivers' behaviours, taking into consideration behaviours as a response to contextual factors. The contextual moderation embedded within the intelligent decision-making process is underpinned by expert input, comprising of a range of associated stakeholders in the industry. Guided by the literature and expert input, we identify critical factors affecting driving and develop an interval-valued response-format questionnaire to capture the uncertainty of the influence of factors and variance amongst experts' views. Questionnaire data are modelled and analysed using fuzzy sets, as they provide a suitable computational approach to be incorporated into decision-making systems with uncertainty. The methodology has allowed us to identify the factors that need to be considered when moderating driver sensor data, and to effectively capture experts' opinions about the effects of the factors. An example of our methodology using Heavy Goods Vehicles professionals input is provided to demonstrate how the expert-centred moderation can be embedded in intelligent driver assessment systems.


page 1

page 16

page 17


A Game-Theoretic Model of Human Driving and Application to Discretionary Lane-Changes

In this paper we consider the application of Stackelberg game theory to ...

Modelling and Detection of Driver's Fatigue using Ontology

Road accidents have become the eight leading cause of death all over the...

Verisimilar Percept Sequences Tests for Autonomous Driving Intelligent Agent Assessment

The autonomous car technology promises to replace human drivers with saf...

Automated Driving Systems: Impact of Haptic Guidance on Driving Performance after a Take Over Request

In conditional automation, a response from the driver is expected when a...

Driving Style Recognition Using Interval Type-2 Fuzzy Inference System and Multiple Experts Decision Making

Driving styles summarize different driving behaviors that reflect in the...

Improving Understanding of Biocide Availability in Facades through Immersive Analytics

The durability of facades is heavily affected by multiple factors like m...

Please sign up or login with your details

Forgot password? Click here to reset