download deliverable - AIDE

More documents

Recommendations

Info

AIDE D4.1.6 Final Activity Report PU Contract N. IST-1-507674-IP 8.1.2.4 WP1.3 Driver-Vehicle-Environment Simulation and Validation Work package no. Work package name Objectives (from Description of Work) Work package leader Other contractors involved Deliverables generated WP1.3 Driver-Vehicle-Environment Simulation and Validation The general objective of WP1.3 is to implement a computer simulation of the driver-vehicle-environment for performing predictive analyses of the effects of IVIS and ADAS, based on the results from WP1.1 and 1.2. KITE JRC,INRETS, CRF,CIDAUT, ICCS, CERTH/HIT, UNIVLEEDS,VTI,UNIMORE No. Title Dissemination level 1.3.1 DVE Simulation architecture and preliminary guidelines for model software implementation 1.3.2 Driving Simulator Tests and Data Analysis for DVE model validation 1.3.3 DVE Model – Results of validation of model predictions vs Driving Simulator tests 1.3.4 Final software release and user manual 1.3.5 Driving Simulator Tests and Data Analysis for DVE model tuning 8.1.2.4.1 Work performed and key results obtained Lead contractor CO KITE 18 PP KITE 38 PP KITE 42 PP KITE 46 PP CRF 48 Delivery month Within WP 1.3 two main activities have been performed: a) the development of the computational simulation tool based on DVE framework and b) the evaluation of the parameters of the DVE model defined in WP 1.1. The requirements and specifications for simulation implementation have been applied in the development of a first simulation environment based on Matlab Simulink. The DVE software implementation has followed three main lines of development: the Vehicle, the Environment and the Driver. • As for the software implementation of the Vehicle, a specific set of equations have been implemented according to specifications derived from Deliverables D1.1.4, and D1.1.5; 08/10/2008 34 VTEC
AIDE D4.1.6 Final Activity Report PU Contract N. IST-1-507674-IP • The software implementation of the Environment model continued with the aim to reproduce the environment of the simulator of VTI on which the experimental validation of the SSDRIVE tool was carried out. • The simulation of the Driver was completed with the definition of the “fuzzy” functions and membership functions that characterise “descriptive” behaviour. The simulation package has been called SSDRIVE for Simple Simulation of Driver interaction. After the analysis of the data collected in the VTI simulator for the so called “validation process” of the model, the final release of SSDrive was developed. SSDrive simulator is a tool that allows the study of a model of driver integrated with the environment and vehicles, defining the scenarios and driving contexts of their interactions. The overall aim of the simulation is to enable predictive representations of DVE interactions under different driver’s characteristics and dynamic changes of several conditions, including human, traffic and environment situations. The main purpose of this software is not to reproduce and simulate the perfect execution of driving performance, but rather to provide a powerful and flexible instrument to study patterns of behaviour, without necessarily having to produce different software applications every time different human, traffic and/or vehicle conditions have to be analysed. The simulator has been developed using Delta3D (http://www.delta3d.org) as a platform for simulation and Lua (http://www.lua.org) (LUA) as a scripting language. In the last phase of the WP, an evaluation of the parameters of the DVE model was provided, by means of comparison of model output to human driving data obtained in simulator experiments. Two parameters were selected: Task Demand and Distraction. The evaluation consisted of the tuning and validation of these Driver Model parameters used to describe the driver’s behaviour in different conditions, including the effects of IVIS interactions on driving task. In order to pursue these validation and tuning goals, some machine learning techniques were applied, to guess a model for the variables, characterising Task Demand (TD) and Distraction (DIS) parameters, and their relationships. An interesting and positive result has been achieved for DIS parameter, where predicted data fits well the real data used for testing. This can be considered as a relevant achievement, since DIS is mainly related to driver’s distraction caused by IVIS, which is the main topic of AIDE-IP investigation. Moreover, DIS is strictly related to Situation Awareness, whose low levels can lead to high probability of error risk. Figure 8: SSdrive simulation running Figure 9: SSDrive Driver, Vehicle and Environment configuration panel 08/10/2008 35 VTEC
Page 1 and 2: AIDE D4.1.6 Final Activity Report P
Page 33: AIDE D4.1.6 Final Activity Report P
Page 85 and 86:
AIDE D4.1.6 Final Activity Report P
Page 87 and 88:
Page 89 and 90:
Page 91 and 92:
Page 93 and 94:
Page 95:
show all

download deliverable - AIDE

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?