Car-2-Car - A survey on CAM statistics

Slides:



Advertisements
Similar presentations
OneM2M Technical Requirements - Driven by EU BUTLER and IEEE PAC - Group Name: WG1 (REQ) Source: Friedbert Berens, FBConsulting Sarl,
Advertisements

1 An Approach to Real-Time Support in Ad Hoc Wireless Networks Mark Gleeson Distributed Systems Group Dept.
CSLI 5350G - Pervasive and Mobile Computing Week 3 - Paper Presentation “RPB-MD: Providing robust message dissemination for vehicular ad hoc networks”
Hazard and Incident Warning « Majority of events occurring on the road represent a danger for road users » By transmitting road events and road status.
Design of Cooperative Vehicle Safety Systems Based on Tight Coupling of Communication, Computing and Physical Vehicle Dynamics Yaser P. Fallah, ChingLing.
Odysa ® Experiences with an individual “green wave” Marcel Willekens / Arjan Bezemer / Kristiaan Langelaar.
Mike Sharpe, ETSI VP ESP (ETSI Standardization Projects)
V ehicle I nfrastructure I ntegration Jeffrey F. Paniati Associate Administrator for Operations and Acting Program Manager for ITS Joint Program Office.
Doc.: IEEE /875r1 Submission Hyun Seo Oh, ETRI July 2008 Slide 1 Radio Transmission Technology for V2V/V2I Applications Date: Authors:
Working paper number WLTP-DHC Comparison of different European databases with respect to road category and time periods (on peak, off peak, weekend)
Doc.: IEEE /1222r1 Submission November 2009 Eldad Perahia, Intel CorporationSlide 1 Hard Disk Drive Traffic Model for TGad Date: Authors:
A Vehicle Manufacturer’s Perspective on VII Christopher Wilson ITS Oregon- Feb 1, 2005 Christopher Wilson.
Network Connectivity of VANETs in Urban Areas Wantanee Viriyasitavat, Ozan K. Tonguz, Fan Bai IEEE communications society conference on sensor, mesh and.
1 Vehicular Networks Slides are integrated from researchers at EPFL.
1 The Role and Design of V2X Communications for Automated Driving Gaurav Bansal Toyota InfoTechnology Center, USA Mountain View, CA
Overview Standards First deployment C-ITS
ETSI TC ITS Status on Standardization Martin ARNDT ETSI ESP © ETSI All rights reserved M2M Market and Technology Opportunities
DOiT Dynamic Optimization in Transportation Ragnhild Wahl, SINTEF (Per J. Lillestøl SINTEF)
Submission November 2015doc: IEEE /1281r1 Friedbert Berens, FBConsulting SarlSlide 1 Dynamic Environment Use Cases Date: Authors:
KEYNOTE OF THE FUTURE 3: DAVID BECKETT CSIT PhD Student QUEEN’S UNIVERSITY BELFAST.
-Internet On Road. INTRODUCTION Driving means constantly changing location. This, in turn, means a constant demand for information on the current location.
Realistic Mobility Models for Vehicular Ad hoc Network (VANET) Simulations ITST 高弘毅 洪佳瑜 蔣克欽.
Traffic Simulation L2 – Introduction to simulation Ing. Ondřej Přibyl, Ph.D.
The Fully Networked Car Geneva, 3-4 March STANDARDS ROUNDTABLE Gérard SEGARRA Telematics Expert, Renault ETSI TC ITS WG1 Chairman Member of C2C-CC.
Challenge: Numerous Governmental Layers
Emerging Technologies in Autonomous Driving
AP Power Saving Date: Authors: May 2017 Month Year
VANET.
11ax PAR Verification using UL MU-MIMO
Impact of LTE in Unlicensed Spectrum on Wi-Fi
Vehicular Public Key Infrastructure Scalability
Recognizing Exponential Inter-Contact Time in VANETs
Adaptable safety and security in v2x systems
ATO over ETCS Benoît BIENFAIT 10/2/2016.
Project: IEEE P Interest Group for Wireless Personal Area Networks (WPANs) Submission Title: ITS OCC system based vehicle-to-vehicle communication.
Overview of CV2X Requirements
Comparison of different gearshift prescriptions
Technical University of Cluj-Napoca
Environmental Data Exchange in Cooperating Driving Systems
WAVE Enhancement Technologies
NGV SG Use Cases (Next Generation V2X Study Group)
Vehicular Ad-hoc Network Survey
OFDMA performance in 11ax
Presenter: Adrian Scrase ETSI Chief Technical Officer (CTO)
Use case for Aerial Vehicle ITS
NGV SG Use Cases (Next Generation V2X Study Group)
Month Year doc.: IEEE yy/xxxxr0
Presenter: Adrian Scrase ETSI Chief Technical Officer (CTO)
July 2007 doc.: IEEE p Jan Case Study for reduced priority management frames – Vehicular Safety Communication Date:
Use case for Aerial Vehicle ITS
Motion-Aware Routing in Vehicular Ad-hoc Networks
Month Year doc.: IEEE yy/xxxxr0
WAVE Channel Modeling and the Midamble Insertion Effects
Positioning Use Cases for NGV
MAC Service Updates for NGV
Interoperable NGV PHY Improvements
Sub Working Group 2 Protocols & Messages
Discussion on IMT-2020 mMTC and URLLC
Frame aggregation in P802.11bd
Adaptive Traffic Control
MAC Service Updates for NGV
doc.: IEEE yy/xxxxr0 Date:
DSRC Coexistence Date: Authors: November 2013 April 2009
Channel usage in NGV: follow-up
Hard Disk Drive Traffic Model for TGad
Performance Analysis of Outer RS Coding Scheme
March 2019 doc.: IEEE /0319r1 July 2019 An Empirical Model for the Realistic Generation of CAM in Vehicular Networks Date: Authors:
Toyota Motor North America
November 2008 Hybrid MAC for VANET Date: Authors:
Performance evaluation of deterministic service for EHT
Presentation transcript:

Car-2-Car - A survey on CAM statistics September 2018 doc.: IEEE 802.11-18/1541r1 Car-2-Car - A survey on CAM statistics Date: 2019-03-07 Authors: F. Berens, FBConsulting; V. Martinez, NXP; E. Perraud, Renault Stephan Sand, German Aerospace Center (DLR)

Abstract The Car2Car Communication Consortium has performed a set of evaluation measurements to get an overview over the statistics of CAM messages in real implementations and deployments CAM messages are non-deterministic in time and size Period varies from 1Hz to 10Hz depending on the generation rules based on speed, heading and acceleration Size varies from around 200 bytes to up to more than 700 Bytes depending on the environment and security content A detailed report is available under: https://www.car-2- car.org/fileadmin/documents/General_Documents/C2CCC_TR_2052_Survey_on_CAM_statistics.pdf A realistic performance simulation need to take these variations into account F. Berens, FBConsulting; V. Martinez, NXP; E. Perraud, Renault

Overview Introduction CAM structure overview & generation rules Overall architecture & CAM generation agnostic to access layer technology Traces collected CAM sizes: variation versus time CAM sizes: Distribution shape & statistics CAM: time intervals (variation vs time) CAM: time intervals (distributions) Duty cycles (specific to IEEE 802.11p access layer) Summary, key observations Friedbert Berens, FBConsulting Sarl

Full study available under: Introduction The study provides a comprehensive analysis of ITS-G5 message traces collected in real test-drives in Europe in 2018. Currently focusing on CAM Following versions to include more messages types Traces have been collected in standard traffic conditions and standard drives. Should be representative of most driving situations in Europe. Collected by car makers (VW, Renault), in different locations, with different ITS-G5 hardware equipment from different vendors. Full study available under: https://www.car-2- car.org/fileadmin/documents/General_Documents/C2CCC_TR_2052_Survey_on_CAM_sta tistics.pdf F. Berens, FBConsulting; V. Martinez, NXP; E. Perraud, Renault

What is a ‘CAM message’? C-ITS works by sharing data between road participants Cooperative Awareness Message one of the basic C-ITS message types: Exchanged ad-hoc between cars multiple times per second No infrastructure required Comparable to USA ‘BSM’: Basic Safety Message Containing information on position, direction, speed, etc Crucial input for many safety related use cases Electronic Emergency Brake Light Intersection Collision warning Cryptographically integrity protected (but not encrypted) Frequency and size depends on situation  Focus of this study F. Berens, FBConsulting; V. Martinez, NXP; E. Perraud, Renault

CAM structure overview & generation rules CAM generation triggers: Position: A change in position by more than 4m Heading: A change of direction of equal or more than +/- 4° Change of speed: A change of speed equal to or larger than 0,5m/sec Otherwise: Generate a message after 1 second max F. Berens, FBConsulting; V. Martinez, NXP; E. Perraud, Renault

TS 102 894-2 Common Data Directory Overall architecture & CAM generation agnostic to access layer technology RHS/CAA TS 102 539-1 ICRW TS 102 539-2 LCRW TS 102 539-3 Applications CAM EN 302 637-2 DENM EN 302 637-3 LDM TS 102 724 TS 103 097/102 94x Security Facilities TS 102 894-2 Common Data Directory TS 102 723-x Cross-Layer Ifx Network & Transport GeoNetworking EN 302 636-4-1/2 BTP EN 302 636-5-1 DCC - TS 103 141 Access technology Access Layer IEEE802.11p and 11bd Access Layer LTE-V2X … or … F. Berens, FBConsulting; V. Martinez, NXP; E. Perraud, Renault

Traces collected VW urban VW suburban VW highway Renault urban Trace name Company providing trace Type of drive environment Location where trace was recorded Standard Facilities layer profile   “VW urban” VW Urban Gifhorn, Germany ETSI ITS-G5 C2C_CC profile 1.3 “VW suburban” Suburban “VW highway” Highway (slow) “Renault urban” Renault Vienna, Austria SCOOP 1.2, 2.4.1 “Renault suburban” “Renault highway” Highway VW urban VW suburban VW highway Renault urban Renault suburban Renault highway F. Berens, FBConsulting; V. Martinez, NXP; E. Perraud, Renault

CAM sizes: variation versus time Example1: Renault urban Example2: VW highway (detail) Observation #1: CAM size keeps changing from one message to the next, for all the drives. F. Berens, FBConsulting; V. Martinez, NXP; E. Perraud, Renault

CAM sizes: Distribution shape & statistics Observation #2: The set of possible CAM sizes is very diverse, for all test drives. Observation #3: Significant differences in the upper part of the CAM distribution Observation #5: The average CAM sizes is typically around 350 Bytes Trace CAM sizes, mean value CAM sizes, min value CAM sizes, max value VW urban 339 Bytes 199 Bytes 526 Bytes VW suburban 308 Bytes 504 Bytes VW highway 297 Bytes 500 Bytes Renault urban 406 Bytes 182 Bytes 782 Bytes Renault suburban 396 Bytes 765 Bytes Renault highway 399 Bytes 807 Bytes Overall average 357 Bytes   F. Berens, FBConsulting; V. Martinez, NXP; E. Perraud, Renault

CAM: time intervals (variation vs time) Observation #8: In practice, the CAM time-interval very often changes from one message to the next, observed in all the drives. Note: quantisation of time interval is due to discrete GPS update frequency F. Berens, FBConsulting; V. Martinez, NXP; E. Perraud, Renault

CAM: time intervals (distributions) Observation #9: The distribution of the CAM time-interval is very diverse, and heavily depend on the drive scenario. Observation #10: The average values of the time-intervals vary between 0.33 and 0.47 seconds. F. Berens, FBConsulting; V. Martinez, NXP; E. Perraud, Renault

Duty cycles based on IEE802.11 access layer Trace Total duration of all packets Duration of test drive Long-term duty cycle Max peak short-term duty cycle (1 sec. meas.) VW urban 1.33 sec. ~21 min. 0.10% 0.26% VW suburban 1.94 sec. ~25 min. 0.13% 0.29% VW highway 1.37 sec. ~27 min. 0.27% Renault urban 2.18 sec. ~30 min. 0.12% 0.40% Renault suburban ~18 min. 0.41% Renault highway 0.84 sec. ~12 min. 0.39% Observation #12: The long-term duty cycles are consistently measured between 0.10% and 0.13%, for all test drives. This is compliant with the requirement of long-term duty cycle of max. 1%, by a comfortable margin.  Several hundreds of vehicles can be supported even without DCC (congestion control) Example: VW suburban F. Berens, FBConsulting; V. Martinez, NXP; E. Perraud, Renault

Summary, key observations Observation ID Observation summary Observation #1 CAM size keeps changing from one message to the next, for all the drives. Observation #2 The set of possible CAM sizes is very diverse, for all test drives. Observation #3 Significant differences in the upper part of the CAM distribution, per manufacturer or facilities layer profiles Observation #4 Only between 25% and 35% of the messages do not contain certificates. Observation #5 The average CAM sizes is typically around 350 Bytes Observation #6 The approximate CAM size distributions can be observed: Distribution starts around 190 Bytes Typically, 30% of the messages are below 300 Bytes Typically, more than 50% of the messages are above 350 Bytes Typically, more than 30% of the messages are above 450 Bytes Observation #7 Speed and number of pathHistory entries are heavily correlated. Observation #8 In practice, the CAM time-interval very often changes from one message to the next, observed in all the drives. Observation #9 The distribution of the CAM time-interval is very diverse, and heavily depend on the drive scenario. Observation #10 The average values of the time-intervals vary between 0.33 and 0.47 seconds. Observation #11 In average, roughly only 50% of the time-interval deltas is zero Observation #12 The duty cycles are consistently measured between 0.10% and 0.13%, for all test drives. Observation #13 The short-term (1-second) duty cycles peaks are measured between 0.26% and 0.41%. Note: blue observations are only explained in https://www.car-2-car.org/fileadmin/ documents/General_Documents/C2CCC_TR_2052_Survey_on_CAM_statistics.pdf F. Berens, FBConsulting; V. Martinez, NXP; E. Perraud, Renault

Conclusion CAM generation based on ETSI EN 302 637–2 is a highly dynamic and non-deterministic process The dynamic generation rule guarantees an efficient resource usage since only actually required information are send out (spectrum efficiency) Future message sets will have similar dynamic behaviour 802.11bd access layer need to take these dynamic behaviour into account Simulation assumptions for access layer should model this behaviour by: Packet size should be variable and not fixed to 300bytes Packet delivery timing should be dynamic Statistics can be derived from presented measurements F. Berens, FBConsulting; V. Martinez, NXP; E. Perraud, Renault