Ecodriver. D12.2: Multi-modal in-vehicle and nomadic device eco-driving support for car drivers

This deliverable provides a report of the work conducted in Work Package 12: eco-driving system development and HMI feedback. The tasks required development of simple eco-driving feedback model algorithms and test scenarios and an assessment of basic systems and feedback modalities. These assessments have been conducted both in the laboratory...

Managing driver workload using continuous driver workload assessment

Detecting Intermittent Steering Activity ; Development of a Phase-detection Algorithm

Drivers usually maintain an error-neglecting control strategy (passive phase) in keeping their vehicle on the road, only to change to an error-correcting approach (active phase) when the vehicle state becomes inadequate. We developed an algorithm that is capable of detecting whether the driver is currently error-neglecting or error-correcting in...

Distraction and workload: Driving on the A10 ring road around Amsterdam

A simulator study was performed to establish the effects of motorway environment complexity on driver distraction and workload. In this study environment complexity refers to the visual complexity of static objects on or next to the road and in its vicinity (e.g. traffic signs, buildings, advertisements…). It does not include traffic density or...

Active deceleration support in car following

A haptic gas pedal feedback system is developed that provides car-following information via haptic cues from the gas pedal. During normal car-following situations, the haptic feedback (HF) cues were sufficient to reduce control activity and improve car-following performance. However, in more critical following situations, drivers use the brake...

In-vehicle and site-based observations of vehicles and cyclists. A small-scale ND study in the Netherlands. PROLOGUE Deliverable D3.4

The main objective of the project PROLOGUE (PROmoting real Life Observations for Gaining Understanding of road user behaviour in Europe) is to explore the feasibility and usefulness of a large-scale European naturalistic driving observation study. The work described in this deliverable focused on the feasibility of using and combining two...

Driver model library: Driver behaviour and decision making framework

Driver behaviour is becoming an increasingly important part of traffic simulations and driving simulators. This paper will outline the development of a framework for a Driver Model Library (DML) that will result in a cross platform plug-in for traffic simulations at microscopic as well as network level. The DML provides driver decision making...

Driving simulator study to support design of intersection safety application

The aim of the European research project SAFESPOT is to prevent road accidents by developing a Safety Margin Assistant that extends the drivers´ awareness in space and time. One application of the Safety Margin Assistant is the Intelligent coopeRative Intersection Safety system (IRIS). IRIS will identify safety critical situations at...

HMI Considerations for the Dutch CVIS – SAFESPOT Test Site

This paper describes the Human-Machine-Interface (HMI) design approach for the integration of several cooperative systems that were developed in the projects CVIS and SAFESPOT. In this design approach, several important issues for integrated HMI were accounted for: the prioritization of the information for the highest safety relevance, the...