Odysa ® Experiences with an individual “green wave” Marcel Willekens / Arjan Bezemer / Kristiaan Langelaar.

Slides:



Advertisements
Similar presentations
1. Green Lights Program Objectives Improve Quality of Synchronization in a Short Timeframe Noticeable Improvements to Motorists Appropriate Allocation.
Advertisements

Driver Behavior Models NSF DriveSense Workshop Norfolk, VA Oct Mario Gerla UCLA, Computer Science Dept.
Sharing the Road Look for Motorcycles Motorcycles Motorcycles have the same privileges as other vehicles on the road. The chances of being involved.
Chapter #8 Study Guide Answers.
SHARING THE ROAD WITH HEAVY VEHICLES You don’t have to be told there are a lot of trucks on the road. But do you always drive or ride with trucks in mind?
Transportation Tuesday TRANSPORTATION TUESDAY REAR ENDERS – HOW CAN WE PREVENT THEM? A collision occurs when two vehicles occupy the same space!
Travel and Transport By Sophie and Annabelle. What are the problems of transport? Some of the problems that we have with transport now is that... 1.Lots.
Eco Drivers not Eco Warriors A story about how the head rules the heart Lynn Moir, Energy Saving Trust.
Introduction to VISSIM
INTERSTATE DRIVING Information Processing: Complex Risk Environments
The INTEGRATION Modeling Framework for Estimating Mobile Source Energy Consumption and Emission Levels Hesham Rakha and Kyoungho Ahn Virginia Tech Transportation.
The City of Gdynia City rights in 1926 With Sopot and Gdańsk forms the Tri-City agglomeration It has inhabitants Port city, employment structure:
Carbon Footprint Kerry Sophie. What is a Carbon Footprint ? A carbon footprint is “the total set of greenhouse gas emissions caused directly and indirectly.
The experience from Stockholm city road tax Christer Johansson Lars Burman Tage Jonson Bertil Forsberg Umeå university
Advanced Public Transit Systems (APTS) Transit ITS CEE582.
Fuzzy Logic in Traffic Control State Trafic Departement Baden Württemberg realized by INFORM Software Corporation Martin Pozybill Martin Pozybill Bernhard.
Cost effective hydrogen transport and emissions reduction Amanda Lyne Green Fleet Scotland 2015.
Dynamic Speed Limits to improve local air quality Henk Stoelhorst Rijkswaterstaat, Centre for Transport and Navigation.
BETTER AIR QUALITY 2004 SPECIFIC TRANSPORT MEASURES TO REDUCE EMISSIONS IN HYDERABAD, INDIA Yash Sachdeva, RITES Ltd Viresh Goel, RITES Ltd D.S.Chari,
Peter Koonce TRB Annual Meeting January 9, 2005 Best Practices for Signal Operations Best Practices for Signal Operations – Lessons Learned from the Portland.
A Brief Comparison on Traffic System Between London and Shanghai Allen Liu, Shanghai Feb. 16 th 2012.
Mark Evers Transport for London Reducing CO 2 from Transport Action Today to Protect Tomorrow London’s Climate Change Action Plan.
Expressway Driving. Characteristics of Expressway Driving Roadway Speed Interchanges No cross traffic Median Tollbooths Entrance/exit ramps Limited access.
Research | consulting | technology safety and efficiency in transport through knowledge Moving people and freight in the urban.
Making Way for Public Rapid Transit in South Asia and its Impact on Energy and Environment Bangalore, Dhaka and Colombo Ranjan Kumar Bose & Sharad Gokhale.
UNIT 12 RESPECT AND RESPONSIBILTY DRIVING WITH CARE FOR THE ENVIRONMENT
Definition - CommuterLink CommuterLink is an interagency transportation management system. What does that mean? Put another way, it is the use of computer.
Mediamatics / Knowledge based systems Dynamic vehicle routing using Ant Based Control Ronald Kroon Leon Rothkrantz Delft University of Technology October.
Intelligent Transportation System (ITS) ISYM 540 Current Topics in Information System Management Anas Hardan.
A SEMINAR ON ACTIVE HIGHWAY SYSTEM PRESENTED BY :- ASHISH PANDEY, ECE, III YEAR.
牛津高中英语模块七 Unit 4 Project. Facts about traffic accidents.
Introduction Nablus is the largest city in the West Bank after Jerusalem. 150,000 inhabitants live in Nablus. Nablus has the largest university in the.
4-1 Model Input Dollar Value  Dollar value of time  Accident costs  Fuel costs  Emission costs.
Innovative ITS services thanks to Future Internet technologies ITS World Congress Orlando, SS42, 18 October 2011.
IMPACT OF ELECTRIC FLEET ON AIR POLLUTANT EMISSIONS S. Carrese, A. Gemma, S. La Spada Roma Tre University – dep. Engineering Venice, Sept. 19 th 2013.
Trucks on Motorways in the Netherlands A survey of the role of trucks in traffic flow AVV Transport Research Centre Ministry of Transport Onno Tool
Bus Rapid Transit Infrastructure Design Roadway and Junctions Bus stops Shreya Gadepalli Senior Program Director Institute for transportation and.
Ramp Metering – New experiences in NRW. 1.) Initial situation and first experiencies 2.) Ramp Metering in context of CENTRICO 3.) Actual problems and.
1. Variety of modes (types) of transport (public and private) 2. Density of transport networks more nodes and.
COMPLEMENTARY MEASURES TO SUPPORT CYCLING Karl Reiter FGM- AMOR.
Traffic Flow Parameters Surface Street Application.
June 14th, 2006 Henk Taale Regional Traffic Management Method and Tool.
The Stockholm trials – Emme/2 as a tool for designing a congestion charges system 1.The trials and the congestion charges system 2.Observed effects 3.Transportation.
1 Weekly Supervisor Meeting – Project Waalbrug Project Waalbrug Improving transport accessibility in Nijmegen Bernat Goni, Vikash Mohan, Arjen van Diepen,
Driving in City Traffic.  This chapter discusses the skills necessary to navigate driving situations in city traffic.
Confidential | RBEI / NBD | 27/08/2015 | © Robert Bosch Engineering and Business Solutions Private Limited All rights reserved, also regarding any.
Driving Environments. Rural Driving  The speed limit on rural roads when not posted is 35 mph.  Many rural roads are two-lane, two-way roadways.  Curves.
Travelling Green Nowadays, eco- travelling is important, here are some tips to help you, and some information you could you.
Expressway Driving Legacy High School Drivers Education.
PLANNING OF TRAFFIC MANAGEMENT SYSTEMS DURING WIDENING OF THE RING ROAD AROUND COPENHAGEN Charlotte Vithen Coordinator of Traffic Management Danish Road.
Speed vs Velocity. Learning Target I can explain the difference between speed and velocity. I can explain the difference between speed and velocity.
Henri Stembord Ring Road Management. 2 Defenitions Ring Road or Beltway? Ring Road = series of roads within town for orbital distribution Beltway = Motorway.
1 Air Pollution Automobile Emissions: An Overview Emissions from an individual car
Intelligent and Non-Intelligent Transportation Systems 32 Foundations of Technology Standard 18 Students will develop an understanding of and be able to.
Dynamic Traffic Management Traffic control Prof. Dr. Henk J. van Zuylen 汉克. 范少伦 教授 荷兰 德尔夫特理工大学.
 Every sign’s shape and color have special meaning  Regulatory Signs: Signs that set limits, or give commands.  Example: stop sign, Yield, One Way,
7.2 How can these challenges be managed? 7.2a Cities in the DEVELOPED world have huge potential to reduce their environmental impact (ECO- FOOTPRINTs)
Gasunie is one of the biggest gas infrastructure companies in Europe. Within the company, we give safety the highest priority; it forms the basis of our.
Chapter 12: Urban Transportation Policy “Everything in life is somewhere else, and you get there in a car.” E. B. White, One Man’s Meat, (NY: Harper &
Reducing Idling Times of Vehicles Along a Busy Corridor – A Case Study (City of Burnaby) Michael Cetnarowski, P.Eng. DMD & Associates Ltd.
Intelligent Transportation System
(Expressway Traffic Management System)
The Simulation of Traffic Patterns and Optimizing Traffic Lights
Towards More Sustainable Mobility in Nablus City, Palestine
Multi-objective Analysis For Passengers’ Routing Using Car/Bicycle
Plug-in and electric buses
Influence of Driving Restrictions on Pollution Reduction
Speed, Distance, and Displacement Problems
Speed and Velocity 11.2.
Presentation transcript:

Odysa ® Experiences with an individual “green wave” Marcel Willekens / Arjan Bezemer / Kristiaan Langelaar

Summary How does Odysa work? What are the effects? Points of attention References Further developments

Idea behind Odysa ® Efficiency of a green wave is influenced by:  Distances between intersections  Speed of the vehicles  Diffusion of a peloton  Number of intersections  Traffic flow versus capacity of intersections  Traffic flow versus capacity of the network

Idea behind Odysa ® Reward ‘good’ behavior Optimalisation Flow by DYnamic and individual Speed Advice Destroyed speed camera by angry drivers

How does Odysa ® work?  Bundle traffic flows (no more diffusion)  Green times opposite main directions can fit better in green wave  Because of dynamic speeds, also other (secondary) directions can benefit With Odysa you get more control over traffic flow

How does Odysa ® work?

Speed advice based on:  Time of the day  The car in front of you  Your place in the group  Your place on the road  Possible congestion next intersection

How does Odysa ® work? Sometimes no green wave:  If you have to drive too slow (below 50 km/h*)  If you have to drive too fast (above 80 km/h*) * Minimum and maximum speed is based on the legal maximum speed and road profile

How does Odysa ® work? Sometimes no advice:  Program switch  Congestion next intersection  Incidents, like accidents etc.  Odysa system down or switched off

What are the effects?  Flow  Safety  Pollution  Awareness

Effects on the flow

Profile of an average trip (City of Amsterdam network over approx m. and 4 intersections Not coordinated variable cycle time ODYSA

Effect on flow (Amsterdam) Average number of vehicles. Driving time not coord.var. cycle time Driving time ODYSA Difference West -> East (into city) s217 s- 91 s East-> West (out of city) s250 s+ 34 s Crossing network (south - north at intersection 891) s70 s+ 14 s Crossing network (north - south at intersection 891) s116 s+ 21 s Results simulation study morning traffic hour (source: city of Amsterdam)

Effect on flow  Public transport –Compared to the situation of absolute priority for public transport in mode “Not coordinated variable cycle time”, absolute priority for public transport in mode Odysa is limited –Extra delay for busses when there is a bus stop within the green wave –Public transport can also profit of green wave

Effects on safety  No study has been conducted yet, but the first impressions are: –Less head tail collisions –Lower average speed within green wave  Odysa is also applicable in the night with low traffic flows; –excessive speeding is avoided –driver is rewarded with guaranteed green when following the advised speed

Effects on air pollution  Real time emission measurements were carried out with a petrol fueled car under different circumstances and routes  Measurements were repeated multiple times in a laboratory environment

Effects on air pollution Emissions Nitrogen (NO x ) Emissions Carbon dioxide (CO 2) Emission nitrogen (NO x ) year basis between 06:00 am en 20:00 pm main directions Nitrogen Kg / year Not coordinated variable cycle time ODYSA Emissions carbon dioxide year basis between 06:00 am en 20:00 pm main directions Carbon dioxide x 1000 kg / year Not coordinated variable cycle time ODYSA

Effects on air pollution Emissions (preliminary results) 75% 80% 85% 90% 95% 100% Emissions PM10 (grams / km)Emissions NOx (grams / km) Emissions CO2 (grams / km) Not coordinated variable cycle time Traditional green waveODYSA

Effects on air pollution  Lower emissions for traffic on non main directions, although higher travel times  Air pollution benefits can be much higher for trucks  Emission differences for the whole network are smaller Conclusions:

Awareness  Drivers adapt quickly to speed advice  Perception research in Odysa Breda : –Traffic on main route is more positive then local traffic; –Truck drivers are more positive then car drivers; –71% of main traffic and 87% of truck drivers obey the advised speed. –Local traffic doesn’t always benefit from Odysa and is less positive.

Points of attention  Maximum speed between 70 and 80 km/h;  Low percentage local traffic;  Over saturated situations on main directions should be avoided at all times;  Reliable communication between traffic controllers and (variable) speed indicators;  Functional maintenance: green waves need monitoring because of changing traffic flows.

Reference projects  Odysa Breda – Tilburg (N282)- 4 intersections (approx meters)  Odysa Amsterdam - 4 intersections (approx meters)  New Odysa networks in 2009: –expending network Amsterdam from 4 to 6 intersections (approx meters); –Veghel (N279) - 6 intersections (approx meters); –Spijkenisse (N218) - 3 intersections (approx meters); –Eindhoven - 5 intersections (approx meters. This Odysa network includes a new study project “Odysa In-car” where the speed indication is displayed inside the car via a wireless network.).

Developments  New software development  In-car technology: –Communication from traffic light controller to the car; –Communication from the car to the traffic light controller; –Possible controlling motor management??

In short With Odysa:  more control on traffic flows  cleaner air  less stress for drivers