Applications of Integrated Driver Assistance: Overview

Transcription

1 Applications of Integrated Driver Assistance: Overview Prof Dr Ir Bart van Arem UT-CTW-CiT 12 May 2005

2 Outline Research domain of AIDA AIDA characteristics Research tools Ongoing projects Education activities

3 Road traffic Vital to society and economy Problems Congestion: 1 Billion EUR Accidents: 5 Billion EUR Pollution In-vehicle systems proposed as part of the solution (esafety Action Plan, NoMo)

4 Integrated driver assistance Integrated in-vehicle systems Integrated road-vehicle systems Interaction between system, driver and traffic? Integration of different systems? Interaction with road side systems? Models, methodologies?

5 Interest and expectations Public interest: traffic safety and efficiency, environmental impacts Industry interest: product development and innovation: safety, comfort, time and fuel savings Interest from ICT sector: increasing availablity of technology

6 Potential impacts Right route Driver assistance Less accidents Less congestion Less pollution Efficient traffic

7 Meeting expectations: need for knowledge Understanding the relation between Driver support systems and services User Traffic flows Identify potential impacts on traffic safety, traffic efficiency, environmental impacts

8 Objective AIDA Carry out innovative research and educate students on on applications of of integrated driver assistance (AIDA) Demonstrable spin-off to real-world situations Internationally recognized knowledge position

9 AIDA characteristics Founded by TNO and UT Currently 5fte User group ANWB, V&W, Vialis, TNO, KPN, DaimlerChrysler, KNV, Bovag, Groeneveld Cooperation with: TNO, user group members, UC Berkeley/PATH, RWTH Aachen, TU Delft, SWOV, RUG, UT EWI, CTW-OPM, INF Networks: 6/7 FP esafety projects, TRANSUMO, IEEE ITS Society

10 TNO Driving Simulator Interactive, moving base driving simulator at TNO Low-cost version in development at UT

11 PARAMICS and ITS Modeller

12 MIXIC microscopic model for motorway traffic

13 Route choice simulator

14 AIDA projects Assessment of integrated driver assistance Personalized traffic and travel information in non recurrent traffic conditions Scenario based design methodology applied to a lane change assistant Modeling driving behaviour on motorways Modeling driving behaviour on urban roads Traffic and travel for the professional driver

15 Assessment of integrated driver assistance Cornelie van Driel, april 2003-april 2007 To what extend do driver assistance functions have to be integrated User needs analysis Driving simulator study of a congestion assistant Effects on traffic flows using traffic flow simulation

16 User needs survey integrated driver assistance Internet questionnaire into user needs Questionnaire open september 2004 Over 1000 response Similar survey for professional drivers in preparation

17 Most popular functions Warning downstream traffic (motorway, rural) Warning on traffic in blind spot (different conditions) Warning on imminent crash Presentation of badly visible objects on windscreen

18 Top 5 in ideal system Numberof respondents no yes a b c d e Types of driver assistance a Reduced visibility b Imminent crash c Car following - motorway d Regulating speed - motorway e Congestion driving - motorway

19 Most popular combinations 1. Reduced visibility & Imminent crash 2. Regulating speed (motorway) & Car following (motorway) 3. Regulating speed (motorway) & Regulating speed (rural road)

20 Modelling integrated traffic and travel information in non recurrent traffic conditions Thijs Muizelaar, dec 2003-dec 2007 Events, road works and incidents Relation between user needs and response on travel context, personal characteristics Relation between traffic and travel information and route choice behaviour Impact on traffic conditions, as function of penetration rate, type of non-recurrence and information service content

21 Scenario based product design applied to a lane change assistant Martijn Tideman (december 2003, december 2007) Orientation Design (functional, HMI haptic, acoustic,visual) Prototype in virtual environment Assessment (technical, driver behaviour, traffic safety)

22 Education activities V10: intelligent transport systems Understand interrelation beteen ICT and traffic and transport 4 workshops and a project Guest presentations by TNO, TU Delft and ANWB Final projects (People Mover, Traffic information, Driver Assist) Reports on website Very good evaluation by students One outstanding project to be submitted to IEEE IV 2005

23 Student assignments Mixing different ACCs (at UT, done) ACC and Merging (at TNO HF, done) Cooperative Road vehicle Systems (at Vialis,done) Integration MIXIC Paramics (at TNO Inro, done) Traffic info and incidents (at UT, done) Cooperative ACC (at TNO Inro, ongoing) Benefit analysis of ADA systems (at DaimlerChrysler, done) Comparison of 30 km zones between NL and Japan (at NILIM, done) Workload estimation with integrated ADA systems (ongoing) Development of an ITS route choice simulator (ongoing) User needs for ADA systems of professional drivers (in preparation, with KNV) Assessment methods for Maritime Information Systems (at Diepens & Okkema, ongoing)

24 Cooperative road vehicle systems: promising concepts Leonie Walta, 2004 at Vialis Exploration of drivers and barriers Identification of concepts Approach: Literature study Interview of 20 experts/stakeholders Systematic analysis of qualitative data

25 Main conclusions Getting info into the car is the common understanding of cooperative Effects on throughput and safety only when driving tasks are actively supported Cooperative systems viable in logistic sector (driving force: business case) Medium term obligation of half-open ISA/ACC systems (driving force: safety, obligation) Uncertainties in impacts on users and traffic

26 More information.