CIE and Roadlighting Steve Jenkins Division 4 Representative.

Slides:



Advertisements
Similar presentations
DIVISION 4 Lighting and Signalling for Transport.
Advertisements

Management of vehicles on Local Government reserves and Crown land.
A Lighting Manufacturers Problems in Meeting the Requirements Producing Dark Sky Friendly Luminaires. Peter Portelli Technical Manager PIERLITE PTY LTD.
Experiences of the intelligent road lighting Henri Juslén Philips Lighting Pentti Hautala SITO Oy Osmo Holmström Finnish Road Administration Mika Saari.
Fencing. Galvanized/Aluminized –11 gage 1-3/4 mesh min. standard –9 gauge 1-3/4 mesh recommended min. for public facilities Clad –9 gage core, vinyl,
DRL Induced Glare An Analytical Study of the Effects of Peak Luminous Intensity.
MEETING TC 4-15 “Road Lighting Calculations, Test Data and Measurement” 16 May 2005 / Leon.
OBTRUSIVE LIGHTING.
Hasan Rehan Philips Asia Pacific May 2012 Better Lighting…Safer Roads Segment Director Asean Pacific & Japan – Outdoor Lighting.
By: Vanessa Victor Scott Yoshida Travis Hills Lucas Sprague.
Van Ness BRT Lighting Criteria Lighting Performance Characteristics.
Comments on GRE/2012/27 (Lighting & Signalling WG) Headlamp Initial Aiming October 2012 Informal document No. GRE (68th GRE, October 2012,
Justification to ECE/TRANS/WP.29/GRE/2010/16 : Exterior courtesy lamps of the vehicle illuminate the surrounding field of the vehicle. This can assist.
16469 Lighting and Daylighting Design. Energy Efficient Lighting Lighting accounts for a significant portion of energy use in commercial buildings We.
Drivers Education Dave Haskins
Pedestrian and Bicycle Accidents with Motor Vehicles Gudmundur F. Ulfarsson, Ph.D. Assistant Professor Director, Transportation Systems Engineering Program.
Evaluating Roadway Lighting Systems Using Unit Power Density
Economic Analysis in Transportation Systems Tapan K. Datta, Ph.D., P.E. CE 7640: Fall 2002.
Transportation System Issues and Challenges
LEDs and Road Lighting, Signs and Signals Steve Jenkins.
Photometry of LED Lighting Devices
LIGHT POLLUTION AND NIGHT TIME LIGHTING Presentation to Beaver Hills Initiative February 14 th, 2007 RASC Edmonton Center.
Adaptive Traffic Light Control with Wireless Sensor Networks Presented by Khaled Mohammed Ali Hassan.
Measure 26 Strategic Traffic Management Katerina Oktabcova Usti nad Labem Municipality.
AFS Main Beam (Driving Beam) Improvements Presentation to WP th Session November 2008 Informal document No. WP th WP.29, November.
THE SOCIETY OF MOTOR MANUFACTURERS AND TRADERS LIMITEDPAGE 1 Poland: comments on OICA comments on GRE/2012/27 Headlamp Initial Aiming and leveling tolerances.
Lighting calculations
Section 5 Day 2 Driver Responsibility: Adverse Conditions.
 Cross section elements consist of the following:  1.Traffic lanes (carriage ways);  2.Shoulders;  3.Medians;  4.Curbs;  5.Side slopes.
Public Lighting and Energy Saving in Italy The plan of the Italian Government for road and public area lighting and the new MD
LEX – Light pollution Efficiency indeX Andrej Mohar, Dark Sky Slovenia 8 th European Symposium for the Protection of the Night Sky Vienna, August 22, 2008.
4. GEOMETRIC DESIGN OF HIGHWAYS
Outdoor Learning Area School Parking School Playground Existing Recreation. Facilities School Parking Neighborhood Tree Buffer Basketball Courts Abandoned.
Route 55: Lauer Rd –TSP & Access Management. Agenda  Welcome and Introductions  Workshop Purpose  Project Introduction & Background  Citizen Advisory.
Research on Daytime Running Lamps of 4-wheeled Vehicles Expert from JAPAN Transmitted by the expert from Japan Informal document GRE (74th GRE,
LIGHTING vs DARK SKY. Three phenomena are related to light control of luminaires and their installation  Glare All are the result of waste of energy.
AND TRAFFIC SETTINGS ENVIRONMENTS. RESIDENTIAL STREETS FACTORS???? DRIVING PATTERNS SPEED PEDESTRIANS PARKED CARS TRAFFIC LAWS.
Objectives: Students will understand what causes glare Students will understand how to avoid glare isibility limitations at night Students will understand.
Objectives Learn about daylighting Review lighting -terminology -technology -design.
1 Intersection Design CE 453 Lecture Intersections More complicated area for drivers Main function is to provide for change of direction Source.
Driver Responsibilities: Adverse Conditions Topic 1 -- Visibility in Adverse Conditions Topic 2 -- Extreme Weather Conditions Topic 3 -- Protecting Occupants.
Research on Daytime Running Lamps of Motorcycles Expert from JAPAN Transmitted by the expert from Japan Informal document No. GRE (75th GRE, 5-8.
Overview of Australian Standards for Road Lighting
AGENDA Project Lifecycle; costs behaviour
DRAFT Strategy Division
National Traffic Safety and Environment Laboratory
Australian Standards and Energy Efficiency
METHODS OF ILLUMINANCE CALCULATION
Evaluation and design of road lighting
CONSERVATION OPTIONS Global energy intensity — the amount of energy needed to generate each unit of GDP—has fallen steadily over the last several decades.
Comments on GRE/2012/27(Lighting & Signalling WG)
Smart Car through IoT 라이 아샤리 리날디
Digital TV Systems Exercise 1
PEDESTRIAN + CROSSWALK = STOP!
Street Lighting Controls
Traffic Engineering Division Nestor A. Flores, P.E., PTOE
Macroscopic Speed Characteristics
Updating TII Road Lighting Standards & Specifications
Outdoor Lighting Module 9 Lighting Design – Advanced
NATIONAL LIGHTING CODE
Resource 7.b YES NO 1. Do you come to school in a vehicle?
Week 8, CE Typical crash rates and distributions
CE Typical crash rates and distributions
Traffic Sensing Bicycle Light
Dialux Project Requirements.
Interpretation of 06 series of amendments to Regulation No. 48
IES-RP-37-15: Outdoor Lighting for Airport Environments
RID, light source aspects - first considerations -
BOX JUSTIFICATION for GRE-81-13
The number in each lane indicates
Presentation transcript:

CIE and Roadlighting Steve Jenkins Division 4 Representative

CIE Committees for Roadlighting TC 4-15 Road Lighting Calculations, Test Data and Measurements TC 4-24 Calculation and Measurement of Tunnel Lighting Quality Criteria TC4-26 Systems for Measurement of Photometric Quantities of Road Lighting Installations

CIE Committees for Roadlighting TC4-33 Discomfort Glare in Road Lighting TC4-36 Visibility Design for Road Lighting TC 4-44 Management and Maintenance of Road Lighting TC 4-48 White Light in Road Lighting

CIE 115:2008 Lighting of Roads for Motor and Pedestrian Traffic Since CIE 115:1995, power consumption and environmental aspects have become important. There have been improvements in performance of lamps, luminaires and electronic control gear. Now possible to introduce adaptive lighting for roads with motorised traffic (M), conflict areas ( C) and pedestrian traffic (P)

CIE 115:2008 A structured model is developed for the selection of the appropriate lighting categories based on the luminance or illuminance concept. Then applying, eg, time dependent variables like traffic volume or weather conditions, the model offers the possibility of using an adaptive system

Criteria for Road Lighting Roads for motor traffic – Luminance Conflict areas – Luminance/illuminance concept (Eh) Pedestrian areas – illuminance concept (Eh and Ev and Esc)

Criteria for Road Lighting Conflict Areas: When vehicle streams intersect each other or with pedestrians, cyclists or others. Change in road geometry. Parking areas, toll stations

Lighting Classes Normal Lighting: That lighting category which is appropriate if the same level is to be used throughout the hours of darkness. Adaptive Lighting: Temporal changes in parameters under consideration when selecting Normal class could allow relaxation of Normal levels.

Lighting Areas Motorised traffic, M, ( for drivers of motorised vehicles – luminance ) Conflict areas, C, ( where traffic streams intersect, or run into areas with peds. cyclists, or there is change in geometry or parking areas – luminance or illuminance ) Pedestrian and low speed areas, P, ( for needs of pedestrians – illuminance, H and V)

Lighting Categories (Luminance) CategoryL avge UoUlUl TI%SR M M M M M M60.30 (0.35)

AS/NZS :2005

Conflict Areas (Illuminance) Lighting CategoryEavgeUo (E)TI% High speed TI% low speed C C C C C C

Conflict Areas, (Luminance) M1M2M3M4M5M C0C1C2C3C4C5 Qo=0.05cd/m2/lx R4 (Mastic asphalt) C0C1C2C3C4C5 Qo=0.07cd/m2/lx R3 ( asphaltic concrete ) C0C1C2C3C4C5 Qo=0.09cd/m2/lx R1 (concrete)

Pedestrian and Low speed Areas, (Illuminance) Cat.Avge E Min. Eh Min Ev Min Esc P P P P P P

Pedestrian and Low speed Areas, (Glare) Lighting CategoryTI% P120 P225 P325 P430 P530 P635

Pedestrian and Low speed Areas, (Glare) Max. intensity in cd/klm Glare category70 o and above80 o and above90 o and above G G G G G G <1

Model for M Categories ParameterOptions/WVWV Speed VH/1, H/0.5, Mod/0 1 Traf. Vol. VH/1, H/0.5, Mod/0, Low/-0.5, VL/-1 1 Traf. Comp. Mixed with H non-M/2, Mix/1, Mot only/0 0 Separation No/1, Yes/0 0 Int. density H/1, Mod/0 0 Parked Veh. Present/0.5, Not pres/0 0 Ambient L H/1, Mod/0, Low/-1 1 Vis Guid Poor/0.5, Mod to Good/0 0 Sum (SWV) 3

Model for M Categories Lighting category is M=6 – SWV M=6-3=3 If Category number is not a whole number, use the next lower whole number

Model for C Categories ParameterOptions/WVWV Speed VH/1, H/0.5, Mod/0 0.5 Traf. Vol. VH/1, H/0.5, Mod/0, Low/-0.5, VL/-1 1 Traf, Comp. Mixed with H non-M/2, Mix/1, Mot only/0 2 Separation No/1, Yes/0 1 Ambient L H/1, Mod/0, Low/-1 0 Vis Guid Poor/0.5, Mod to Good/0 0 Sum (SWV) 4.5

Model for C Categories Conflict Area category is C=6 – SWV C= =1.5 If Category is not a whole number, use the next lower whole number, then C=1

Model for P Categories ParameterOptionsWV SpeedLow/1, V. Low/0 1 Traff.Vol.VH/1, H/0.5, Mod/0, Low/-0.5, v. Low/ -1 0 Traff. Comp.P+C+M/2, P+M/1, P+C/1, P/0, C/0 2 Parked vehiclesPres/0.5, Not Pres./0 0.5 Ambient Lum.H/1, Mod/0, Low/-1 0 Facial recognitionNecessary Additional requirements SUM 3.5

Model for P Categories Pedestrian Area Category is: P=6 – WV P = =2.5 If Category is not a whole number, use the next lower whole number, then P=2

Implementing Adaptive Lighting Parameter On – 21:00 21:00 – 24:00 00:00 – 6:00 6:00 - Off Speed 1111 Traff. Vol. 101 Traff. Comp Separation 0000 Int. density 0000 Parked vehicles 0000 Ambient lum Vis. Guidance 0000 SUM 3203 M = 6-SWV M3M4M6M3

Implementing Adaptive Lighting CategoryL avge UoUlUl TI%SR M M M M M M

Implementing Adaptive Lighting Parameter On – 21:00 21:00 – 24:00 00:00 – 6:00 6:00 - Off Speed 2222 Traff. Vol Traff. composition 2112 Separation of carriageways 1111 Ambient Lum. 00 Vis. guidance 0000 SUM 6435 C = 6-SWV C0C2C3C1

Implementing Adaptive Lighting Lighting CategoryEavgeUo (E)TI% High speed TI% low speed C C C C C C

Pedestrian and Low speed Areas, (Illuminance) Cat.Avge E Min. Eh Min Ev Min Esc P P P P P P

Summary Proposes model for Adaptive Lighting Weight important parameters for each time period Sum of the Weighting Values is related to the Lighting category Only the quantitative variables change, the qualitative variables stay at the appropriate Normal lighting levels