Since many years, as a consequence of fossil fuels rarefaction and climate changes, ecology has become a major challenge of our society. In this field, many improvements could be realized on the transportation side and more precisely on passenger cars which are an important source of pollution. A quick and efficient solution to reduce fuel consumption and so, greenhouse gases emissions, is to adopt an ecological way of driving, called ecodriving.
However, is ecodriving really efficient in terms of mobility and environment at a global point of view? The benefits of ecodriving have often been studied for an isolated vehicle and rarely for a whole network. The aim of this work is to estimate the effects of ecodriving on traffic congestion and fuel consumption according to the percentage of ecodrivers in the population. This has been achieved using a class of ecodriven vehicles with a car-following model (Intelligent Driver Model) and with a transport simulation software (Aimsun). Results show that the effect of ecodriving on the traffic congestion and pollution is not linearly linked to the proportion of ecodrivers and this effect varies according to the driving conditions. In some cases, ecodriving is cons-productive and fuel consumption increases. Future works will concentrate on experimental validation, on modeling the effect of ecodriving on road safety and on improving the different models.
Safe and ecological speed profile planning algorithm for autonomous vehicles ...Olivier Orfila
This slides have been presented in the Fast Zero 2017 conference in Nara, Japan. They describe how a multiobjective optimization procedure base on simulated annealing has been used to generate a speed profile for an autonomous vehicle. This speed profile is safe and ecological (minimizing energy use).
Gear Shifting Behavior Model for Ecodriving Simulations Based on Experimental...Olivier Orfila
Ecodriving is known as a way to quickly and efficiently reduce fuel consumption for the concerned ecodriven vehicle. However, the impact of ecodriving on a whole road network at a large scale is unknown. In order to perform studies in a micro traffic simulation software, a fuel consumption model coupled to a gear behavior model are required.
This study presents a gear shifting behavior model able to represent as well the variability of drivers as the difference between ecodriving and normal driving. This work, based on the evaluation of the real driver behaviors during 42 trips, has been partially validated with a result of 60% of time spend in the correct gear.
Future works will be concentrated on a detailed validation of this model and on its implementation with a fuel consumption model.
Immersives driving simulation architecture to support gamified eco-driving in...Olivier Orfila
Eco-driving is about energy efficient use of vehicles. There are many approaches to improve eco-driving. Eco-driving driving style is hard to learn even with the help of driving assistance systems. This paper presents an immersive driving simulation training tool to support eco-driving training. We address the following questions: (1) How gamification concepts can improve eco-driving evaluation, training and adoption in simulated environments and (2) How to setup such elements in a 3D immersive driving simulator. We present an implementation of gamification concepts in a driving simulator architecture built upon pro-SiVIC software and a 3D Helmet Mounted Display. The gamification functions are then used to motivate drivers to be eco-friendly. We conclude with future work and open issues.
Xi'an Chang'an invited conference: Transportation system complexity, optimal ...Olivier Orfila
This presentation has been done in Xi'an Chang'an University and is a slight improvement of the Chengdu one . It concerns the application of transportation complexity theory to optimal driving strategy.
Safe and ecological speed profile planning algorithm for autonomous vehicles ...Olivier Orfila
This slides have been presented in the Fast Zero 2017 conference in Nara, Japan. They describe how a multiobjective optimization procedure base on simulated annealing has been used to generate a speed profile for an autonomous vehicle. This speed profile is safe and ecological (minimizing energy use).
Gear Shifting Behavior Model for Ecodriving Simulations Based on Experimental...Olivier Orfila
Ecodriving is known as a way to quickly and efficiently reduce fuel consumption for the concerned ecodriven vehicle. However, the impact of ecodriving on a whole road network at a large scale is unknown. In order to perform studies in a micro traffic simulation software, a fuel consumption model coupled to a gear behavior model are required.
This study presents a gear shifting behavior model able to represent as well the variability of drivers as the difference between ecodriving and normal driving. This work, based on the evaluation of the real driver behaviors during 42 trips, has been partially validated with a result of 60% of time spend in the correct gear.
Future works will be concentrated on a detailed validation of this model and on its implementation with a fuel consumption model.
Immersives driving simulation architecture to support gamified eco-driving in...Olivier Orfila
Eco-driving is about energy efficient use of vehicles. There are many approaches to improve eco-driving. Eco-driving driving style is hard to learn even with the help of driving assistance systems. This paper presents an immersive driving simulation training tool to support eco-driving training. We address the following questions: (1) How gamification concepts can improve eco-driving evaluation, training and adoption in simulated environments and (2) How to setup such elements in a 3D immersive driving simulator. We present an implementation of gamification concepts in a driving simulator architecture built upon pro-SiVIC software and a 3D Helmet Mounted Display. The gamification functions are then used to motivate drivers to be eco-friendly. We conclude with future work and open issues.
Xi'an Chang'an invited conference: Transportation system complexity, optimal ...Olivier Orfila
This presentation has been done in Xi'an Chang'an University and is a slight improvement of the Chengdu one . It concerns the application of transportation complexity theory to optimal driving strategy.
Comparative study of emission pollutants between BIM and VSP methods.AdithCR1
In order to determine the present condition at the junction various types of surveys such as road inventory survey, turning movement survey, spot speed analysis were conducted at existing intersection of the road and necessary data were collected for completing the project. The method used for calculating the emission rates of vehicle is VSP which is done for vehicle (passenger cars) manually. Modelling of roundabout is done which is based on the BIM system (VISSIM). Here initially the existing condition of the intersection is analysed for peak hour traffic flow, so based on the traffic simulation carried out in the software, emission rates are calculated and compared with the manually calculated emission rates. So the basic idea of this case study is to check the emission rates at the junction especially during peak hours and to check if the rate exists within n the standard emission rates so that the surrounding area isnt affected due to pollution caused by the moving vehicles.
S4C Colloquium Aveiro 2016
https://scientistsforcyclingaveiro2016.wordpress.com/
University of Aveiro (Portugal),
Region of Aveiro (CIRA), ABIMOTA/Portugal Bike Value
and the European Cyclists’ Federation (ECF)
with its global network Scientists for Cycling (S4C)
Presentation by Dr James Tate at Scottish Transport Emissions Partnership Annual Conference 2016
www.its.leeds.ac.uk/people/j.tate
https://stepscotland.com/2016/08/18/919/
Çiğdem Çörek Öztaş, Urban Development and Accessibility Projects Manager in EMBARQ Turkey, was invited to deliver was invited to deliver a presentation about Transport Policies in Istanbul and pilot cycling and pedestrianization projects implemented in Istanbul by EMBARQ Turkey. The presentation was made to 40 Master in Urbanism students from Sciences Po in Paris.
Development of body structure concepts for electric vehicles using the topolo...Altair
By the strict discussions regarding energy saving and the goal to reduce CO2, there is a keen demand for light designed automotive structures and the development of electric vehicles. To achieve these goals, a comprehensive method for urban vehicle concepts with electric powertrain and their necessary vehicle structures is presented. The dimensions and packaging of the presented vehicle is based on demands of a future urban vehicle with space for four occupants including baggage, steerable front system wheels and a rear axle including an electric powertrain. In the geometric design phase of the method the vehicle design space is analyzed for global load path with the help of topology optimization (OptiStruct). The load paths are then clustered into different shapes. Concepts for new body in white structures are derived from the results.
Speakers
Marco Münster, Research Assistant, DLR Institute of Vehicle Concepts
S4C Colloquium Aveiro 2016
https://scientistsforcyclingaveiro2016.wordpress.com/
University of Aveiro (Portugal),
Region of Aveiro (CIRA), ABIMOTA/Portugal Bike Value
and the European Cyclists’ Federation (ECF)
with its global network Scientists for Cycling (S4C)
Abstract: Considering data from 260 articulated trucks, with ∼12900 cc Euro 6 engines driving along a motorway in England (M18), the study first shows how different approaches lead to the conclusion that road pavement surface conditions influence fuel consumption of the considered truck fleet. Then, a multiple linear regression for the prediction of fuel consumption was generated. The model shows that evenness and macrotexture can impact the truck fuel consumption by up to 3% and 5%, respectively. It is a significant impact which confirms that, although the available funding for pavement maintenance is limited, the importance of limiting GHG emissions, together with the economic benefits of reducing fuel consumption are reasons to improve road condition.
Reducing Emissions from Corporate FleetsJason Mathers
There are many successful strategies to reduce fleet cost and emissions. EDF discusses many of these and provides case studies of leading companies that are cutting costs and setting environmental goals.
Comparative study of emission pollutants between BIM and VSP methods.AdithCR1
In order to determine the present condition at the junction various types of surveys such as road inventory survey, turning movement survey, spot speed analysis were conducted at existing intersection of the road and necessary data were collected for completing the project. The method used for calculating the emission rates of vehicle is VSP which is done for vehicle (passenger cars) manually. Modelling of roundabout is done which is based on the BIM system (VISSIM). Here initially the existing condition of the intersection is analysed for peak hour traffic flow, so based on the traffic simulation carried out in the software, emission rates are calculated and compared with the manually calculated emission rates. So the basic idea of this case study is to check the emission rates at the junction especially during peak hours and to check if the rate exists within n the standard emission rates so that the surrounding area isnt affected due to pollution caused by the moving vehicles.
S4C Colloquium Aveiro 2016
https://scientistsforcyclingaveiro2016.wordpress.com/
University of Aveiro (Portugal),
Region of Aveiro (CIRA), ABIMOTA/Portugal Bike Value
and the European Cyclists’ Federation (ECF)
with its global network Scientists for Cycling (S4C)
Presentation by Dr James Tate at Scottish Transport Emissions Partnership Annual Conference 2016
www.its.leeds.ac.uk/people/j.tate
https://stepscotland.com/2016/08/18/919/
Çiğdem Çörek Öztaş, Urban Development and Accessibility Projects Manager in EMBARQ Turkey, was invited to deliver was invited to deliver a presentation about Transport Policies in Istanbul and pilot cycling and pedestrianization projects implemented in Istanbul by EMBARQ Turkey. The presentation was made to 40 Master in Urbanism students from Sciences Po in Paris.
Development of body structure concepts for electric vehicles using the topolo...Altair
By the strict discussions regarding energy saving and the goal to reduce CO2, there is a keen demand for light designed automotive structures and the development of electric vehicles. To achieve these goals, a comprehensive method for urban vehicle concepts with electric powertrain and their necessary vehicle structures is presented. The dimensions and packaging of the presented vehicle is based on demands of a future urban vehicle with space for four occupants including baggage, steerable front system wheels and a rear axle including an electric powertrain. In the geometric design phase of the method the vehicle design space is analyzed for global load path with the help of topology optimization (OptiStruct). The load paths are then clustered into different shapes. Concepts for new body in white structures are derived from the results.
Speakers
Marco Münster, Research Assistant, DLR Institute of Vehicle Concepts
S4C Colloquium Aveiro 2016
https://scientistsforcyclingaveiro2016.wordpress.com/
University of Aveiro (Portugal),
Region of Aveiro (CIRA), ABIMOTA/Portugal Bike Value
and the European Cyclists’ Federation (ECF)
with its global network Scientists for Cycling (S4C)
Abstract: Considering data from 260 articulated trucks, with ∼12900 cc Euro 6 engines driving along a motorway in England (M18), the study first shows how different approaches lead to the conclusion that road pavement surface conditions influence fuel consumption of the considered truck fleet. Then, a multiple linear regression for the prediction of fuel consumption was generated. The model shows that evenness and macrotexture can impact the truck fuel consumption by up to 3% and 5%, respectively. It is a significant impact which confirms that, although the available funding for pavement maintenance is limited, the importance of limiting GHG emissions, together with the economic benefits of reducing fuel consumption are reasons to improve road condition.
Reducing Emissions from Corporate FleetsJason Mathers
There are many successful strategies to reduce fleet cost and emissions. EDF discusses many of these and provides case studies of leading companies that are cutting costs and setting environmental goals.
Energy efficiency trends in transport in the EULeonardo ENERGY
After 6 years of regular decrease, the energy consumption of transport in the EU has been rising again since 2013, at the same rate as before the financial crisis. It has become the most energy-consuming end-use sector, responsible for 31% of the final energy consumption in the EU27 in 2019. The energy transition in transport lags far behind the other sectors. However, some countries are performing better than others.
During this webinar, our expert speakers present an evaluation of the energy efficiency trend in the European transport sector since 2000. The following key questions are addressed:
What has been the overall trend in transport energy consumption in the EU and other European countries since 2000?
What are the main drivers for the energy consumption variation in transport, and in particular for the energy savings?
Recordings of the webinar: https://youtu.be/3TbePJCDvgE
The role of RTMS in improving transport corridor efficiencyTristan Wiggill
A presentation done by Dr Paul Nordengen (Manager: Network Asset Management Systems: CSIR) at the Transport Forum special interest group in collaboration with MCLI in Mbombela on 4 February 2016.
The theme for the event was: "Transport Corridors". The topic of the presentation was: "The Role of RTMS in Improving Transport Corridor Efficiency".
More like this on www.transportworldafrica.co.za
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(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
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In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
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THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
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Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Impact of the penetration rate of ecodriving on fuel consumption and traffic congestion
1. Young Researchers Seminar 2011
DTU, Denmark, June 8 - 10, 2011
Young Researchers Seminar 2011
DTU, Denmark, 8 - 10, 2011
Impact of the penetration rate of
ecodriving on fuel consumption
and traffic congestion
ORFILA Olivier
IFSTTAR
2. 2
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
3. 3
What is ecodriving ?
• No clear and objective
definition exists
• Example: “Ecodriving is a way
of driving that reduces fuel
consumption, greenhouse gas
emissions and accident rates”
(www.ecodrive.org)
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
4. 4
Ecodriving definition
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
Using driving rules (Saboohi 2009, Walhberg 2007,
Zarcadoula 2007)
• do not drive too fast,
• maintain steady speeds,
• do not accelerate too quickly,
• anticipate traffic flow when accelerating and
slowing down,
• shift gears sooner to keep engine speed lower,
• keep the vehicle in good maintenance.
5. 5
Ecodriving
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
• In the literature, the benefits of ecodriving are
studied for the subject vehicle only.
• Hypothesis 1: ecodriving has an impact on the
traffic level and on the fuel consumption on the
global network
• Hypothesis 2: this impact depends on the
penetration rate of ecodriving.
6. 6
Aims of this study
Title of the presentation
Evaluate the impact of ecodriving on fuel
consumption and traffic congestion:
• On a whole network
• According to the ecodriving penetration rate
• For different road types and traffic demands
7. 7
Light duty vehicles and driver
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
8. 8
And the role of passenger cars ?
• Fuel consumption US 2004
(IEA)
• In France, Light Duty Vehicles
represents 55% of greenhouse
gas emissions (source:
ministry of sustainable
development)
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
9. 9
And the role of
vehicle, infrastructure
and driver?
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
Driver:
•Desired acceleration
•Desired speed
•Engine speed,… =
ecodriving
Vehicle:
•Mass
•Engine
•Tires,…
Infrastructure:
•Geometry
•Pavement texture
10. 10
Methodology: an ecodriving
modelling
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
Ecodriving
parameters
Ecodriven
vehicles
Normally
driven
vehicles
Traffic
demand
Road
network
Traffic micro
simulation
Fuel
consumption
Traffic indicator
(mean speed)
%
•IDM (Intelligent
Driver Model)
Treiber, 2000
•Gipps model 1981
(AIMSUN)
•Interurban
•Urban
•Free traffic state
•Intermediate
traffic state
•Congested traffic
state
2 types of roads x 3 traffic states x 11 proportions of ecodrivers x 10 replications =
660 numerical tries
11. 11
Traffic and fuel consumption
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
12. 12
Traffic micro simulation on
interurban roads
• Intelligent Driver Model (Treiber, 2000) :
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
Desired acceleration
Desired speed
Distance
between
vehicles
b: desired
deceleration
Speed
difference
Desired time
headway
Minimum gap
Model parameter=4
13. 13
Fuel consumption on interurban
roads
• Energy consumed
• Corrected with an efficiency ratio (Wang, 2008)
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
14. 14
Traffic micro simulation on urban
roads
• Gipps model (Gipps, 1981) with Aimsun (TSS)
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
0%
50%
100%
Free
Intermediate
Congested
15. 15
Fuel consumption on urban roads
• Aimsun and Alçelik model (Alçelik, 1982):
▫ 4 states are defined:
Idling
Cruising
Accelerating
Decelerating
▫ 7 parameters from the vehicle are required
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
17. 17
Results : interurban road – free
traffic
• Fuel consumption
▫ Slight and steady decrease
▫ Fuel consumption reduces by
7.7%
• Traffic indicator
▫ Slight decrease (9.1%)
▫ 2 minutes lost on a 20
minutes travel
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
Optimal proportion of ecodrivers : 100%
18. 18
Results : interurban road –
intermediate traffic
• Fuel consumption
▫ Non linear variation
▫ From 0 to 20% of ecodrivers :
-8.5%
▫ From 0 to 100% : +2.4 %
• Traffic indicator
▫ Sharp decrease : -38%
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
Optimal proportion of ecodrivers : 20%
19. 19
Results : interurban road –
congested traffic
• Fuel consumption :
▫ Strong reduction : -35.8%
• Traffic indicator
▫ Sharp decrease : -55%
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
Optimal proportion of ecodrivers : 30%
20. 20
Urban roads
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
21. 21
Results : urban road – free traffic
• Fuel consumption
▫ Slow decrease : -9.8 %
• Traffic indicator
▫ Strong decrease : -19.7%
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
Optimal proportion of ecodrivers : not defined
22. 22
Results : urban road – intermediate
traffic
• Fuel consumption
▫ Non linear variations : -7.6%
• Traffic indicator
▫ Non linear variations : -32.3%
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
Optimal proportion of ecodrivers : not defined but 80% should be avoided
23. 23
Results : urban road – congested
traffic
• Fuel consumption
▫ Strong effect: -19.6%
• Traffic indicator
▫ Nearly steady
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
Optimal proportion of ecodrivers : 100%
24. 24
Proposed solutions for ecodriving
• Short term: promote ecodriving on identified
situations
• Middle term: giving real time advice to the driver
• Long term: develop a strategy to manage a
whole network
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
25. 25
Theoretical and practical
implications
• Innovative method to analyze ecodriving.
• It can be applied for several existing or future
assistance systems
• Recommandations on ecodriving
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
26. 26
Conclusions and perspectives
Conclusions Study drawbacks
• Ecodriving is efficient at a
global point of view
• In some situations, the fuel
consumption increases with
the % of ecodrivers
• The optimal proportion of
ecodrivers varies with the
situation
• Current proportion of
ecodrivers is unknown
• The engine speed has not
been taken into account
Impact of the penetration rate of ecodriving on fuel
consumption and traffic congestion
Perspectives
• Refine the modelling
• Experimental validation