The presentation summarises scientific evidence on road safety benefits from red light cameras and section control. The major research and reviews up to 2013 are covered. Separate attention is given to Dutch experiences with red light cameras and section control.
Breakout Session 7: Integrated Solutions for Transportation Safety – ATLAS Center Projects
2015 Traffic Safety Conference
by Melisa Finley, Research Engineer, Texas A&M Transportation Institute
At the basis of a good flow measurement is a properly calibrated flowmeter. Field calibration of flowmeters is far from straightforward and its impact on the operation of a metering station in the field can be considerable. One of the options is including a fixed pipe prover in the metering system. For an article that appeared in this month’s edition of World Pipelines, Eveline Janse interviewed Erik Smits (VSL) and Shukur Aghazadeh (AzMETCO), who shone their light on various methods for the calibration of the pipe provers, their advantages and drawbacks.
Transportation Engineering
Brief study on measurement of spot speed with the help of enoscope for diploma engineering students of civil engineering stream.
Scientists have targeted a very powerful hormone responsible for human growth and cell regeneration that, once harnessed, has all the properties of a bona fide "fountain of youth."
Testimonials of Users of Enjuvenate - Unicity's "Fountain of Youth" Anti-agin...Unicity International
Read glowing Testimonials of Users of Enjuvenate - Unicity's "Fountain of Youth" Anti-aging Supplement!
For more info visit http://shamunicitybioslifeslim.blogspot.com
Breakout Session 7: Integrated Solutions for Transportation Safety – ATLAS Center Projects
2015 Traffic Safety Conference
by Melisa Finley, Research Engineer, Texas A&M Transportation Institute
At the basis of a good flow measurement is a properly calibrated flowmeter. Field calibration of flowmeters is far from straightforward and its impact on the operation of a metering station in the field can be considerable. One of the options is including a fixed pipe prover in the metering system. For an article that appeared in this month’s edition of World Pipelines, Eveline Janse interviewed Erik Smits (VSL) and Shukur Aghazadeh (AzMETCO), who shone their light on various methods for the calibration of the pipe provers, their advantages and drawbacks.
Transportation Engineering
Brief study on measurement of spot speed with the help of enoscope for diploma engineering students of civil engineering stream.
Scientists have targeted a very powerful hormone responsible for human growth and cell regeneration that, once harnessed, has all the properties of a bona fide "fountain of youth."
Testimonials of Users of Enjuvenate - Unicity's "Fountain of Youth" Anti-agin...Unicity International
Read glowing Testimonials of Users of Enjuvenate - Unicity's "Fountain of Youth" Anti-aging Supplement!
For more info visit http://shamunicitybioslifeslim.blogspot.com
In today’s digital social world, with our identity crossing various social networks it can be a challenge to decide on, and keep a consistent brand identity that crosses platforms and channels. This D.I.Y. guide will help you to overcome this challenge.
for educational purposes only
sources: http://www.slideshare.net/dmccorkleporter ; www.pbs.org and for additional sources download the file and look in the notes section.
Cities operate ambient air quality monitoring networks but often do not analyze and interpret the data. Data gets simply "stacked". Networks are not configured correctly capturing the data trends and monitoring objectives. This presentation provides guidance and uses Mumbai's ambient air quality data to illustrate application
Dr Glyn Rhys-Tyler - Road vehicle exhaust emissions; 'an age of uncertainty' ...IES / IAQM
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GreenSwirl: Combining Traffic Signal Control and Route Guidance for Reducing ...Naoki Shibata
Jiaxing Xu, Weihua Sun, Naoki Shibata and Minoru Ito : "GreenSwirl: Combining Traffic Signal Control and Route Guidance for Reducing Traffic Congestion," in Proc. of IEEE Vehicular Networking Conference 2014 (IEEE VNC 2014), pp. 179-186.
Serious traffic congestion is a major social problem in large cities. Inefficient setting of traffic signal cycles, especially, is one of the main causes of congestion. GreenWave is a method for controlling traffic signals which allows one-way traffic to pass through a series of intersections without being stopped by a red light. GreenWave was tested in several cities around the world, but the results were not satisfactory. Two of the problems with GreenWave are that it still stops the crossing traffic, and it forms congestion in the traffic turning into or out of the crossing streets. To solve these problems, we propose a method of controlling traffic signals, GreenSwirl, in combination with a route guidance method, GreenDrive. GreenSwirl controls traffic signals to enable a smooth flow of traffic through signals times to turn green in succession and through non-stop circular routes through the city. The GreenWave technology is extended thereby. We also use navigation systems to optimize the overall control of the city's traffic. We did a simulation using the traffic simulator SUMO and the road network of Manhattan Island in New York. We confirmed that our method shortens the average travel time by 10%-60%, even when not all cars on the road are equipped to use this system.
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With an attendance of more than 70 national and industry experts, the objective of this workshop was to provide examples of existing best practices to help prepare the transposition of Article 8 and Annex VI of the EED and explore how these best practices can be useful for the implementation of the mandatory audits for large enterprises.
Globally we need to halve the carbon emissions by 2050. Through the release of Greenhouse Gases (GHG), the industry also contributes significantly to climate change.Several reulations has been put in place to help recude CO2 emissions but the shipping industry is still faced by some challenges. Big Data is helping to cut fuel bills and CO2 emissions. Objective is to build a ship rating tool for ranking and rating ships on their emissions.
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Talk title - Development of remote sensors for vehicle emissions detection
Routes to Clean Air is a two-day conference from the IAQM where academics, professionals and policy makers share their experiences of improving traffic emissions.
This event highlights the importance of public communication and behavioural change surrounding road transport and air quality issues.
In today’s digital social world, with our identity crossing various social networks it can be a challenge to decide on, and keep a consistent brand identity that crosses platforms and channels. This D.I.Y. guide will help you to overcome this challenge.
for educational purposes only
sources: http://www.slideshare.net/dmccorkleporter ; www.pbs.org and for additional sources download the file and look in the notes section.
Cities operate ambient air quality monitoring networks but often do not analyze and interpret the data. Data gets simply "stacked". Networks are not configured correctly capturing the data trends and monitoring objectives. This presentation provides guidance and uses Mumbai's ambient air quality data to illustrate application
Dr Glyn Rhys-Tyler - Road vehicle exhaust emissions; 'an age of uncertainty' ...IES / IAQM
DMUG remains the key annual event for experts in this field. Unmissable speakers will be examining topical issues in emissions, exposure and dispersion modelling.
GreenSwirl: Combining Traffic Signal Control and Route Guidance for Reducing ...Naoki Shibata
Jiaxing Xu, Weihua Sun, Naoki Shibata and Minoru Ito : "GreenSwirl: Combining Traffic Signal Control and Route Guidance for Reducing Traffic Congestion," in Proc. of IEEE Vehicular Networking Conference 2014 (IEEE VNC 2014), pp. 179-186.
Serious traffic congestion is a major social problem in large cities. Inefficient setting of traffic signal cycles, especially, is one of the main causes of congestion. GreenWave is a method for controlling traffic signals which allows one-way traffic to pass through a series of intersections without being stopped by a red light. GreenWave was tested in several cities around the world, but the results were not satisfactory. Two of the problems with GreenWave are that it still stops the crossing traffic, and it forms congestion in the traffic turning into or out of the crossing streets. To solve these problems, we propose a method of controlling traffic signals, GreenSwirl, in combination with a route guidance method, GreenDrive. GreenSwirl controls traffic signals to enable a smooth flow of traffic through signals times to turn green in succession and through non-stop circular routes through the city. The GreenWave technology is extended thereby. We also use navigation systems to optimize the overall control of the city's traffic. We did a simulation using the traffic simulator SUMO and the road network of Manhattan Island in New York. We confirmed that our method shortens the average travel time by 10%-60%, even when not all cars on the road are equipped to use this system.
Madrid 21/3/14 Energy audit standards in transportConor Molloy
On behalf of DG Energy, the JRC organized a 1,5-day experts' workshop on energy audits and energy management systems under the Article 8 of the Energy Efficiency Directive.
With an attendance of more than 70 national and industry experts, the objective of this workshop was to provide examples of existing best practices to help prepare the transposition of Article 8 and Annex VI of the EED and explore how these best practices can be useful for the implementation of the mandatory audits for large enterprises.
Globally we need to halve the carbon emissions by 2050. Through the release of Greenhouse Gases (GHG), the industry also contributes significantly to climate change.Several reulations has been put in place to help recude CO2 emissions but the shipping industry is still faced by some challenges. Big Data is helping to cut fuel bills and CO2 emissions. Objective is to build a ship rating tool for ranking and rating ships on their emissions.
Routes to Clean Air 2016 - Dr Kevin Turpin, TRLIES / IAQM
Talk title - Development of remote sensors for vehicle emissions detection
Routes to Clean Air is a two-day conference from the IAQM where academics, professionals and policy makers share their experiences of improving traffic emissions.
This event highlights the importance of public communication and behavioural change surrounding road transport and air quality issues.
Presentation by Dr James Tate, February 2015.
www.its.leeds.ac.uk/people/j.tate
www.ciht.org.uk/en/events/events-listing.cfm/the-challenge-of-improving-sheffields-air-quality
Deze SWOV-notitie besteedt aandacht aan de trend van de afname van staandehoudingen in het verkeer. Cijfers wijzen uit dat zowel WAHV-bekeuringen (Mulderfeiten) als strafrechtelijke verkeerssancties vanaf 2009-2010 fors zijn afgenomen. De afname lijkt zich de laatste jaren te stabiliseren.
Presentation at study meeting concerning bicycle helmets, 15 October 2013 in Antwerp, Belgium, organised by Levenlijn Kinderfonds, Koning Boudewijnstichting, and University of Antwerp.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
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Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
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Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
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• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
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Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
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Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
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1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
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What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
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- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
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Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
By Design, not by Accident - Agile Venture Bolzano 2024
Scientific evidence on road safety effects of section control and red light cameras
1. Scientific evidence on road safety effects
of section control and red light cameras
Dublin, ITS Ireland, 17 September 2013
Charles Goldenbeld,
Institute for Road Safety Research SWOV
2. This presentation
• Institute for Road Safety Research SWOV
• Scientific evidence section control
• Separate studies
• Soole et al. review 2013
• Dutch experience
• Acceptance
• Conclusions
• Scientific evidence red light cameras
• International reviews (Cochrane 2005, Erke 2009, Høye 2013)
• Dutch experience
• Acceptance
• Conclusions
Dublin, ITS Ireland, 17 September 2013
3. What SWOV stands for
• Mission: to improve road safety with
knowledge from scientific research
• Public knowledge for professionals
• Network organization, top institute national
and international
Dublin, ITS Ireland, 17 September 2013
4. What we do
• In-depth studies into the causes of accidents
• Experimental research
• Evaluation studies
• Data analysis
• Calculating the effects of policy plans
• Second opinions
Independent, multidisciplinary, high quality
Dublin, ITS Ireland, 17 September 2013
5. Who we work for
• Road safety professionals:
– National, regional and local authorities
– Police and judicial authorities
– Consultants
– Trade and industry
Dublin, ITS Ireland, 17 September 2013
6. Section control: Terminology
• Section speed control
• Average speed control
• Point-to-point speed control
Dublin, ITS Ireland, 17 September 2013
7. Section control
Dublin, ITS Ireland, 17 September 2013
Figure from: Soole, Watson, & Fleiter, J.F. (2013). Effects of average speed enforcement on speed
compliance and crashes: A review of the literature. Accident Analysis and Prevention, 45, 46-56.
8. Scientific evidence section control
Country Reference
Austria Stefan, C. (2006) Section control – automatic speed enforcement in the
Kaisermühlen tunnel (Vienna, A22 Motorway). Austrian Road Safety
Board (KvF), Vienna
Australia Lynch, M., White, M. & Napier, R. (2011). Investigation into the use of
point-to-point speed cameras December 2011. NZ Transport Agency
research report 465, Wellington, New Zealand.
Italy Montella, A., Persaud, B., D'Apuzzo, M., & Imbriani, L. (2012). Safety
evaluation of automated section speed enforcement system.
Transportation Research Record, (2281), pp. 16-25.
International
review
Soole, D.W., Watson, B.C., & Fleiter, J.F. (2013). Effects of average
speed enforcement on speed compliance and crashes: A review of the
literature. Accident Analysis and Prevention, 45, 46-56.
Netherlands Rijkswaterstaat Directie Zuid-Holland, Afdeling VIV (2003). Evaluatie 80
km/uur maatregel A13 Overschie. Doorstroming en verkeersveiligheid.
Rijkswaterstaat, Den Haag.
Norway Ragnøy, A. (2011).Automatic section speed control. Results of
Evaluation. Norwegian Public Roads Administration, Directorate of
Public Roads, Oslo.
Dublin, ITS Ireland, 17 September 2013
9. Dublin, ITS Ireland, 17 September 2013
Section control separate studies
Source Study characteristics Results
Stefan
2006
Kaisermühlen tunnel Vienna motorway
Road type: 2- tube tunnel, 3-4 lanes per
direction
Tunnel section length: 2,3 km
Speed limit: 80 km/hr. cars; 60 km/hr HGV
Before period 4 yrs.; after period 2 yrs.
Speed reduction:
- Daytime cars: 8575
- Daytime HGV 7055
- Nighttime cars: 9575
- Nighttime HGV: 7555
Reduction air pollutants:
- CO: -15%
- NOx -39%
Crash reduction:
- Injury crashes: -33%
- Fatal and serious crashes: -49%
Cost Benefit Ratio estimate 5,3
Montella et
al. 2012
Italian Motorway Al Milan-Naples
Road type: Divided highway, 3 lanes
Section length: 80 km
Speed limit: 130km/hr.
Before period 6,5 yrs.; after period 2,5 yrs.
Motorway Napels-Candele A16 used as
reference group (255 km length)
Crash reduction:
- Total crashes -31%
- Severe crashes -55%
Crash reduction decreased over
time
10. Separate studies
Source Study characteristics Results
Ragnøy,
2011
3 sections
Road type: two 2-lane, one 2/3-lane
(rural highways)
Section length 8.6, 5, 9.5 km
Speed limit: 80 km/hr.
Study mainly concerned with measuring
vehicle speeds
Average speed reduction (km/h):
- 2.7; -8.8; -10.2
Estimated speed reduction one
location:
- Spot speed control -3.3km/h
- Section speed control -8.3 km/h
Estimated total crash reduction:
- Spot speed control -10%
- Section speed control -23%
Estimated fatality reduction
- Spot speed control -16%
- Section speed control -35%
Dublin, ITS Ireland, 17 September 2013
11. Section control: Effects speeds/crashes/cost-
benefit estimates. Soole et al. 2013 review
SWOV Dublin, 17 September 2013
• UitvoeringOutcomes Country Results
Effects on
vehicle speeds
Austria, Australia,
Italy, France,
Netherlands, UK
Offences rates < 1%,
more homogenised speeds
Crash/injury
reduction
Austria, Italy,
Netherlands,
UK
Reduction effect on fatalities and serious injury
crashes (40% - 65%).
However: weak methods
12. Section control: comparative performance &
cost benefit. Soole et al. 2013 review
Dublin, ITS Ireland, 17 September 2013
Outcomes
Outcomes Country Results
Relative performance
compared to spot
speed enforcement
England,
UK
- Offences rates 11 times lower at road works
than with traditional speed enforcement
- Gains et al. 2005 study: particularly effective in
reducing extreme speeding (i.e. 15 mph over
limit)
- Nottingham study: crash reduction with
average speed control at three sites versus
crash increase at three fixed camera sites
Cost-benefit
CB
Austria,
Australia,
UK
Austria: CB-ratio 5,3 (actual findings)
England, A14: annual overall CB £4.3 million
UK based on modelling fuel consumption/vehicle
emissons:
70 mph UK motorway: CB-ratio 2.7
50 mph UK motorway: CB-ratio 7.1
(excluding costs reduction crashes/congestion!)
Australian estimates: CB-ratios 7.4-12.5, 10
13. Dutch Experience:
Section control in the Netherlands
• Pilot testing 1997
• Introduced 2002
• Financed by funds enabled by the Dutch „Climate Bill‟ (1998)
• Systems distinguishes motorcycles, cars, buses, trucks, lorries
• Fines starting from 7 km/hr. above limit (80, 100, 120, 130)
• In 2013: 13 section control systems in operation in the Netherlands
• 3 section control systems include several sections
(only one fine is given!)
• A 2002 evaluation of section control (including limit change 100 km/hr.
80km/hr.) on motorway near Rotterdam (140.000 vehicle per day 10%
heavy trucks) showed positive effects:
– Speed: < 1% offenders of 80 km/hr. limit
– Crashes: 47% reduction all crashes, 46% reduction persons injured
– Climate: Absolute NO2-concentrations lowered by 4% to 6%
– Noise: Reduction of daily noise levels by 0,4 dB
• In general: 99,5% drivers comply with speed regime under section
control
Dublin, ITS Ireland, 17 September 2013
14. Dublin, ITS Ireland, 17 September 2013
Section control acceptance
Country,
reference
Survey Results
(mentioned in Soole et al. except *)
France,
Schwab 2006
73% French driver report to reduce speed in answer to
advisory sectio con5trol system enforcement not
included!)
Netherlands,
Poppeliers et al. 2009*
77% Dutch drivers consider section control (very)
acceptable
UK,
Charlesworth 2008
74% UK motorists report compliance with section
control
UK,
Crawford 2009
72% British drivers welcome section control on
residential roads
New South Wales, Australia,
Walker et al. 2009
63% support the use of section control
Norway, Sweden, Denmark
Bjørnskau et al. 2010*
A majority in all three countries is in favour of
introduction of section control
15. Conclusions Section control
Dublin, ITS Ireland, 17 September 2013
• Preliminary findings are very encouraging
(positive & large effects: average speeds, extreme speeds, homogenised speeds, crashes,
vehicle emissions, reliability journey time, public acceptance, favourable cost-benefit estimates)
• Broad applicability
- Motorways
- UK also on: Urban arterials
- Road works
- Tunnels
- Mobile systems
• Word of Caution:
1. although the available evidence is consistently positive, much of the evidence is
lacking in strict scientific rigour (e.g. presence adequate control group, adjustment
regression to the mean)
2. section control is complementary to other speed management measures, not a
replacement for road design or maintenance deficiencies
16. Dublin, ITS Ireland, 17 September 2013
Red light cameras = RLCs
Evidence type Advantage Disadvantage
Separate research
studies
It can be wise to look
and learn from one
well-controlled study
Results of separate
studies often too
particular, not
generalisible
Qualitative
Review
Literature review
Identification of
variables that
moderate effects
No precise overall
estimate,
no „statistical‟ precision/
proof
Quantitative review
(e.g. Cochrane)
Qantitative estimate
overall effects
Often few studies that
meet quality criteria
Meta-analysis Quantitative estimate
overall effect, estimate
of moderator effect
Sources of bias, e.g.
publication bias;
comparing apples and
oranges
17. Scientific evidence: major quantitative
review studies RLCs
Evidence
Type
Reference
International
quantitative
review
Aeron-Thomas, A. S. & Hess, S. (2005). Red-Light Cameras for the
Prevention of Road Traffic Crashes. Cochrane Database of Systematic
Reviews 2005, Issue 2, Art. no. CD003862. Oxfordshire, England: The
Chochrane Collaboration.
Meta-analysis Erke, A. (2009). Red light for red-light cameras? A meta-analysis of the
effects of red-light cameras on crashes. In: Accident Analysis &
Prevention, 41, nr. 5, p. 897-905.
Criticism on
meta-analysis
Lund, A.K., Kyrychenko, S.Y. & Retting, R.A. (2009). Caution: A
comment on Alena Erke‟s Red light for red-light cameras? A meta-
analysis of the effects of red-light cameras on crashes.
doi:10.1016/j.aap.2009.03.018 In: Accident Analysis & Prevention, vol.
41, nr. 4, p. 895–896.
Meta-analysis Høye, A. (2013). Still red light for red light cameras? An update. Accident
Analysis and Prevention, 55, p. 77-89.
Dublin, ITS Ireland, 17 September 2013
18. Aeron-Thomas & Hess 2005,
(Cochrane review)
• Two reviewers independently extracted data on study
type, characteristics of camera and control areas, and
data collection period
• 10 controlled before-after studies from Australia,
Singapore and the USA met inclusion criteria concerning
method quality
• Conclusion 1: RLCs are effective in reducing total
casualty crashes (based 4/5 studies; only 1 very good).
• Conclusion 2: The evidence is not conclusive as to
whether RLCs reduce right-angle or rear-end casualty
crashes or total crashes (including property damage only
crashes) and traffic violations.
Dublin, ITS Ireland, 17 September 2013
19. Meta-analysis Erke (2009)
• Meta-analysis = statistical method of combining
effect results of several studies to assess overall
effect and influence of moderating variables
• 21 studies
(10 USA, 4 Australia, 3 Singapore, 3 UK, 1 Norway)
• 5 well-controlled studies
Dublin, ITS Ireland, 17 September 2013
20. Meta-analyses Erke (2009):
Taking into account study quality
Dublin, ITS Ireland, 17 September 2013
Study aspect
Control for… Explanation
Regression to
the mean
RTM
Extreme values in a distribution, such as a particularly high
number of crashes in an area during one time period, will
tend to move toward the average of the entire group of
such areas in the succeeding time period, even if nothing
is done to affect the crashes.
No control RTM overestimation safety effect
Spillover-effect The installation of RLCs and concurrent publicity may
affect red-light running and crashes not only at those
intersections at which RLCs are installed but also at
nearby intersections without RLCs. Drivers may for
example become generally more inclined to stop when
lights are changing to red.
No control spillover underestimation safety effect
21. Main results Erke 2009 ( blue boxes)
Crash type Control for
regression to
the mean
Control for
spill-over
effects
Best estimate
(95% confience
interval)
All crashes No No -16 (-27: -4)
Yes Yes +15 (-3;+38) NS
Injury crashes No No -17 (-37; +8)
Yes Yes +13 (-10; +43) NS
Rear-end-collisions No No +17 (+6; +31)
Yes Yes +43 (+20; +70)
Right-angle
collisions
No No -14 (-27: +1)
Yes Yes -10 (-31; +19) NS
Dublin, ITS Ireland, 17 September 2013
22. Lund et al. 2009 criticism Erke 2009
meta-analysis
SWOV Dublin, ITS Ireland, 17 September 2013
• Basic criticism: Erke did not look critically
enough to the method quality of studies she
has included in her meta-analysis
• Two of the five studies listed as controlling for
regression to the mean and spillover did not in fact
control for these factors
• Three „well-controlled‟ studies included in meta-
analysis were non-peer reviewed and received
considerable statistical weights
• Among the five studies Erke labels “strong,” the two
weaker studies received more statistical weight than
the three stronger studies.
Doel
• Uitvoering
23. Recent study Høye 2013: new meta-
analysis & answer to earlier criticism
• The aim of this study was to replicate the results
from the study by Erke (2009) based on a larger
sample of RLC-studies, and to investigate more
thoroughly the effects of study methodology.
• A closer look is especially taken at those studies
that have been critized by Lund et al. (2009) and
several analyses are performed to test if these or
other studies can be regarded as outliers.
Dublin, ITS Ireland, 17 September 2013
24. Meta-analysis Høye 2013
Dublin, ITS Ireland, 17 September 2013
• 19 studies included in Erke 2009 plus 9 more recent studies
• Most studies USA (17), Australie (7), UK (3), Norway (1),
Canada (1), Singapore (1)
Control for
regression-to-the mean
No Yes
Control for
spillover-effects
No 8 5
Yes 7 9
25. Høye 3 step approach meta-analysis
• Initial meta-regression = to study effects regression-
to-the-mean (RTM) and spillover effects
• Overall effects meta-analysis: effect estimates for
studies with and without control RTM
• Exploratory analyses to explain remaining
heterogeneity results
– Moderator variables (.e.g. warning signs at all intersections vs.
general warning entrance cities)
– Publication bias, outlier bias, bias by statistical weighting
Dublin, ITS Ireland, 17 September 2013
26. SWOV Dublin, ITS Ireland, 17 September 2013
Doel
• Uitvoering
Crash type
Control for regression-to-
the mean
Change number crashes (%)
Best estimate 95% CI
All crashes, fatal Yes -17 (-30; 0)
No -63 (-83; -23)
All crashes, injury Yes -12 (-27; +5)
No -21 (-31; -11)
All crashes, unspecified Yes +6 (-4; +17)
No -17 (-24; -9)
All crashes, property damage only Yes +3 (-31; +53)
No -11 (-28; +10)
Right-angle collisions, injury Yes -33 (-48; -12)
No -46 (-53; -37)
Right-angle collisions, unspecified Yes -13 (-27; +3)
No -29 (-40; -15)
Rear-end collisions, injury Yes +19 (+3; +39)
No +18 (-7; +51)
Rear-end collisions, unspecified Yes +39 (+20; +60)
No +8 (+0; +17)Table 3: Results from meta-analysis of the effects of RLC on numbers of intersection crashes, summary
effects and confidence intervals from before-after studies with and without control for regression-to-the
mean.
Høye 2013 Main results ( blue boxes)
27. Høye 2013 Further results
Dublin, ITS Ireland, 17 September 2013
• General warning signs tend to be more effective than separate
signs at each intersection (however: not all results in support!)
• Some evidence for publication bias, but direction of the results
not changed by it
• In answer to Lund et al. 2009 criticism: no evidence that meta-
analysis results were excessively influenced by outliers or by
statistical weighting
28. Dutch experience:
Red light cameras in the Netherlands
• Estimate: > 600 speed/red light cameras
• In 2013 fine for red light running: € 220
• Few thorough evaluations
• 2005 study Amersfoort: Positive crash reduction
found (15 red light camera intersections
compared with 30 control intersections)
• 2011 national road users survey:
– 2% drivers report to have been fined for red light running;
– 71% in favour of installing more red light cameras
Dublin, ITS Ireland, 17 September 2013
29. Acceptance red light cameras
Dublin, ITS Ireland, 17 September 2013
• Dutch survey 2011: 71% in favour of more red light cameras
• European drivers survey 2010: 72% support (SARTRE-4)
• Insurance Institute for Highway Safety Status Report April
2013: 87% support RLC among those who live in areas with
long-standing automated enforcement
• Acceptance even higher when pedestrian, cyclist viewpoints
taken into account
30. Conclusions red light cameras
Dublin, ITS Ireland, 17 September 2013
• Høye 2013 meta-analysis: Evidence for road safety effects red light
cameras is positive but still less strong than we would like it to be
Best estimate, best studies: -12% injury crashes (not significant)
Best estimate, best studies: -33% right-angle injury collisions (significant)
Best estimate, best studies: +19% rear-end injury collisions (significant)
• Complexity of intersections: Large inter- and intra-study variation:
variables that may be of importance are: the phasing of the traffic lights,
the offence rate before the cameras were placed, early warning signs
about the cameras, and the cameras' visibility.
• Red light cameras are only one candidate measure for problems with red
light running; start with proper, complete problem-analysis
• Red light cameras are likely not the best solution when crashes are
related to congestion, inattentive driving, or long signal delays
31. Thanks for you attention!
Dublin, ITS Ireland, 17 September 2013