Dutch driving behavior analyses | Norbert Ligterink

Slides:



Advertisements
Similar presentations
Learning Objectives To define and apply basic measures of traffic flow, including; Speed Volume Density Spacing and Headway Lane occupancy Clearance and.
Advertisements

Introduction to VISSIM
Case Study 4 New York State Alternate Route 7. Key Issues to Explore: Capacity of the mainline sections of NYS-7 Adequacy of the weaving sections Performance.
Modelling individual vehicle and driver behaviours Stephen Cragg Associate – SIAS Limited.
THE “ JAM HANDELER ” THE “ JAM HANDELER ”. In the modern urban world, most people spend hours commuting in heavy traffic. Time and mental energy are wasted.
Chapter 241 Chapter 25: Analysis of Arterial Performance Know how arterial LOS is defined Be able to determine arterial classes Know how to determine arterial.
Chapter 2, Part 1 September 2, You and your dog go for a walk to the park. On the way, your dog takes many side trips to chase squirrels or examine.
Comment from Japan for Normalization item “Deviation from target speed” WLTP-09-24e.
September 3, 2010 Average Speed, Velocity, Acceleration.
1_3 Velocity time graphs Find the area of these shapes. 03 September Find the gradient of these lines yxyx.
Working paper number WLTP-DHC Application of the development approach described in WLTP-DHC on ACEA’s EU database By H. Steven
Texting and Driving Physics of Paying Attention Stopping Distance Reaction Time.
Motion Review Physics TCHS.
On Low Speed Problem in Road Smoothness Profiling Vadim Peretroukhine Michael Nieminen September 28, 2011.
Aim: How can we solve problems dealing with horizontally fired objects? Do Now: An object falls freely for 75 m. How long does it take to reach the ground?
RWTÜV Fahrzeug GmbH, Institute for Vehicle Technology 1 Mobilität Motorcycles have the highest technical potential of noise emission (figure 1), Motorcycles.
Chapter 6 Adaptive Cruise Control (ACC)
Motion Equations. Derived Equations Some useful equations can be derived from the definitions of velocity and acceleration.
Working paper number WLTP-DHC Comparison of different European databases with respect to road category and time periods (on peak, off peak, weekend)
WLTP-DHC WLTC* Methodology ~ Initial Analysis Results & Modification on proposed methodology ~ Presented by Japan GRPE/WLTP-IG/ DHC subgroup 14.
1 Comments on the Ste 3 gearshift calculation tool from validation 2 participants Heinz Steven WLTP WLTP-DHC
1 Analysis of in-use driving behaviour data delivered by vehicle manufacturers By Heinz Steven
Distance V Displacement DISTANCE: The length of a path between two points DISPLACEMENT: Direction from a starting point and the length of a straight line.
SHRP 2 Safety Databases: Continuous Observations of Seat Belt Use Jim Hedlund APHA Annual Meeting November 18, 2014 Accelerating solutions for highway.
RDE testing: how to define NTE emission limits?
Questions on cycle representativeness (French position) EU – WLTP 17 th of September 2013.
1 Comparison of the worldwide weighted WLTP database and EU regional database with WLTC rev3 and further modifications performed by JARI, JRC and HS Heinz.
v- tx-tKinematics Reaction Time Chase.
WLTP-DHC Analysis of in-use driving behaviour data, influence of different parameters By Heinz Steven
Traffic Simulation Home assignment Ing. Ondřej Přibyl, Ph.D.
Unit 5 VEHICLE HANDLING SAFE VEHICLE CONTROL
Traffic forecasting and autonomous vehicles
Review Practice problems
How to measure and analyze traffic noise?
Today we will: Use different acceleration equations to solve for displacement, final velocity, initial velocity, and time. Begin review for test.
Analysis of Fiat Ecodrive data
N. Ligterink, R. Cuelenaere
Random Cycle Generator
Institute for Internal Combustion Engines and Thermodynamics
Institute for Internal Combustion Engines and Thermodynamics
RDE Regulation Commission Meeting
INTELLIGENT CRUISE CONTROL WITH FUZZY LOGIC
Status Januar Verification of test normality
Development of the Japan’s RDE (Real Driving Emission) procedure
Questions on cycle representativeness
Comparison of different gearshift prescriptions
driving behaviour determination for Dutch national emission factors
RDE Regulation Random Cycle, Cycle Generation
Weighting Factors impact on WLTP CO2 emissions
absolutely essential first level
Analysis of the WLTP EU in-use database with respect to RDE-like trips, update of the presentation from by H. Steven , modified
Chapter 9 Environments and Traffic Settings
Analysis of the WLTP EU in-use database with respect to RDE-like trips, update and summary of previous presentations by H. Steven
Additional RDE trip indicator(s)
Institute for Internal Combustion Engines and Thermodynamics
Analyses related to dynamic effects in vehicle speed and NOx emission measurements by H. Steven
Analysis of the WLTP EU in-use database with respect to RDE-like trips, update of the presentation from by H. Steven
Overview of in-use driving behaviour data from different regions
Distance–time graphs 18 January 2019 Objective: To use distance–time graphs to analyse the movement of objects.
Calibration and Validation
Analysis of the WLTP EU in-use database with respect to RDE-like trips, update of the presentation from by H. Steven , modified
velocity signal RDE requirement | Norbert Ligterink
Safety Distance to the front
Acceleration!.
Car-Following Theory Glossary Car-following theories
Chapter 1 Motion.
Physics STAAR Review.
RDE Commission Meeting Nov 20th.
NEW REAL-WORLD BRAKING CYCLE
Presentation transcript:

Dutch driving behavior analyses | Norbert Ligterink

Update Analysis according to RDE (description in 2nd package + explanation HS) Filtering, Trip composition, Sample size Results Dutch trips Rural + motorway: results do not contradict Commission proposal (based on analysis HS of WLTP-database) Urban: higher v*apos-[95] – approx. 20 m2/s3 (intersection 19 m2/s3, compared to approx. 10 m2/s3 in Commission proposal) Under discussion: Dutch approach (chase car) appropriate for Urban driving? (v*apos-[95] dominated by aggressive driver?; no trips in range 5 – 10 m2/s3?) more or less fixed vehicle followed (single lane traffic) limited time free-flow Professional driver behaviour: no impact on results 2 | Dutch driving behavior 25 September 2015

using distance-average velocity 90 and above 60-90 0-60 3 | Dutch driving behavior 25 September 2015

Trip lengths trips designed for equal shares urban/rural/Mway “natural trip”: urban start  rural  motorway  rural  urban stop combining two trips for a 50-120 minute trips 4 | Dutch driving behavior 25 September 2015

Hanning filter (N=3, SPSS) raw acceleration: ai+1/2 = (vi+1-vi)/3.6 Hanning filter (smoothing, as in SPSS, combined with Heinz definition of acceleration): vi = 0.25*vi+1 + 0.5*vi + 0.25*vi-1 ai = (vi+1-vi-1)/(2*3.6) = (0.125*vi+2 + 0.25*vi+1 - 0.25*vi-1 - 0.125*vi-2)/3.6 centrepoint definition from Heinz: additional smoothing 5 | Dutch driving behavior 25 September 2015

Driver experience urban driving: more or less fixed vehicle followed (single lane traffic) limited time free-flow (no car in front) (automatic gear AUDI) rural and motorway driving: following cars for at least 2-3 kilometres (limited vehicle variation) large variation in driving styles observed a number of times “let cars go” because of speed limit violations 6 | Dutch driving behavior 25 September 2015

Effect of minimal sample size affecting mainly rural data on this data 7 | Dutch driving behavior 25 September 2015

effect of the velocity definition 8 | Dutch driving behavior 25 September 2015

Effect of filtering/smoothing 9 | Dutch driving behavior 25 September 2015

Effect of the 90-minute trip length (two-trip combinations) 10 | Dutch driving behavior 25 September 2015

The percentiles of valid trips discarding 5% of the trips as driving boundary 11 | Dutch driving behavior 25 September 2015

Thank you for your attention