This document discusses how real-time traffic information is not sufficient to manage traffic congestion. While modern transportation infrastructure provides real-time data on traffic conditions, it cannot anticipate and prevent congestion from occurring. Predictive analytics that integrate historical data with real-time information can forecast traffic issues well in advance, allowing decisions to be made ahead of developing problems and enabling proactive mitigation of congestion. IBM's Traffic Prediction Tool piloted in Singapore uses this approach to provide accurate predictions and recommendations to optimize traffic flow across all modes of transportation.
Grow smarter project kista watson summit 2018_tommy auoja-1IBM Sverige
Avicii på Tele2 arena, Drake på Globen och AIK - Luleå på Hovet bäddar för en trång lördagseftermiddag i Globenområdet... (SVT Nyheter, 1 mars 2014) ...och problemen kvarstår än idag
Talare: Tommy Auoja, Kundansvarig för Offentlig Sektor, Kontaktperson i EU projektet GrowSmarter, IBM
Presentation från Watson Kista Summit 2018
Next Generation Intelligent Transportation: Solutions for Smart CitiesUGPTI
This March 1 seminar presentation provided an overview of key technology trends that are steadily transforming our transportation system. Bridgelall provided a sample of research needs that exposed the complexities and interdependencies between transportation supply, transportation demand, performance measures, and policy making.
Smart Mobility at Eindhoven University of Technology
Eindhoven University of Technology (TU/e) focuses on the societal challenges in Smart Mobility. Good mobility is of great importance for individuals, as well as for businesses and the economy. For this reason around 230 researchers from dozens of TU/e research groups are working in the Smart Mobility areas on clean, efficient and intelligent vehicle technology, and on logistics and traffic systems. The aims include reducing emissions and congestion, and increasing safety. Examples of recent developments at TU/e are intelligent cars that communicate with each other to prevent congestion, lighter batteries for electric cars, cleaner and more economical diesel engines, and optimized planning models for goods transport.
Focus areas:
• Automotive Technology
• Transport and Logistics
• Intelligent Transport Systems
• Mobility and Traffic
• ICT / Embedded Systems
Grow smarter project kista watson summit 2018_tommy auoja-1IBM Sverige
Avicii på Tele2 arena, Drake på Globen och AIK - Luleå på Hovet bäddar för en trång lördagseftermiddag i Globenområdet... (SVT Nyheter, 1 mars 2014) ...och problemen kvarstår än idag
Talare: Tommy Auoja, Kundansvarig för Offentlig Sektor, Kontaktperson i EU projektet GrowSmarter, IBM
Presentation från Watson Kista Summit 2018
Next Generation Intelligent Transportation: Solutions for Smart CitiesUGPTI
This March 1 seminar presentation provided an overview of key technology trends that are steadily transforming our transportation system. Bridgelall provided a sample of research needs that exposed the complexities and interdependencies between transportation supply, transportation demand, performance measures, and policy making.
Smart Mobility at Eindhoven University of Technology
Eindhoven University of Technology (TU/e) focuses on the societal challenges in Smart Mobility. Good mobility is of great importance for individuals, as well as for businesses and the economy. For this reason around 230 researchers from dozens of TU/e research groups are working in the Smart Mobility areas on clean, efficient and intelligent vehicle technology, and on logistics and traffic systems. The aims include reducing emissions and congestion, and increasing safety. Examples of recent developments at TU/e are intelligent cars that communicate with each other to prevent congestion, lighter batteries for electric cars, cleaner and more economical diesel engines, and optimized planning models for goods transport.
Focus areas:
• Automotive Technology
• Transport and Logistics
• Intelligent Transport Systems
• Mobility and Traffic
• ICT / Embedded Systems
Innovations in London's Transport: Big Data for a Better Customer ServiceGovnet Events
Presentation on Innovations in London's Transport: Big Data for a Better Customer Service by Andrew Hyman, TFL at HPC and Big Data 2016 in Central London
What AI and Machine Learning Can Do for a Smart City Tyrone Systems
Artificial Intelligence and Machine Learning algorithms have increasingly become an integral part of several industries. Now they are making their way to smart city initiatives, intending to automate and advance municipal activities and operations at large.
A smart city has various use cases for AI-driven and IoT-enabled technology, from maintaining a healthier environment to advancing public transport and safety.
By leveraging AI and machine learning algorithms, along with IoT, a city can plan for better smart traffic solutions making sure that inhabitants get from one point to another as safely and efficiently as possible.
(New) Business models shaping future mobilityJosep Laborda
The "as a Service" paradigm coming to mobility, MaaS, insights on the market and drivers for MaaS and some hints on factors that will drive MaaS, such as cooperation among stakeholders, electrification, autonomous driving and the sharing economy.
The Smart Parking Solutions makes use of sensing devices such as vehicle counting equipment, cameras, sensors installed in pavements, etc. to discover occupancy of the parking lot. The strong sensing systems are being built to examine and transfer the data to the database in real-time.
The system increases the accessibility of parking with the use of sensors. The sensors placed in the pavement of the selected parking spaces to recognize if a parking slot is occupied or vacant.
Sensors communicate with the gateway and that data will be pushed to the cloud. Sensors then immediately show the availability of parking slots. This can be viewed on the Mobile APP or the sensors placed on the parking slots so drives can easily identify the space.
Faststream’s Intelligent Parking Solutions use the full potential of digitalization: smart sensors, intelligent software, and clever analysis of the available data. The system eliminates unnecessary parking-related traffic and ensures optimum utilization of urban parking facilities. This saves time, reduces the environmental impact of traffic, and improves the quality of life in the city.
Short presentation about the role of AMS in solving Amsterdam mobility issues and setting the mobility agenda. Linking science and practise using Amsterdam as a Living Lab.
Keynote Presentation on 2009 China Travel Distribution Summit
Spotlight: The Evolution of Mobile Implication in Travel
Mobile technology is finally on the precipice of altering consumer travel planning behavior. New wireless applications and convergent devices are in the offing, forcing travel players to respond. The case studies from AT&T and Rakuten Travel will elaborate how the mobile technology is helping the travel companies improve the travel planning experience and make the real deal.
Speaker:
Ricky Heath, Travel and Transportation Head, AT&T
14 Counties 14 Opportunities to restore Vermont's Economic Engine. Vermont presently is the #7 most taxed State in the country while being #49 2nd WORST in economic outlook. Vermont used to have a robust diverse economic engine building a global reputation for delivering quality products and services.
Innovations in London's Transport: Big Data for a Better Customer ServiceGovnet Events
Presentation on Innovations in London's Transport: Big Data for a Better Customer Service by Andrew Hyman, TFL at HPC and Big Data 2016 in Central London
What AI and Machine Learning Can Do for a Smart City Tyrone Systems
Artificial Intelligence and Machine Learning algorithms have increasingly become an integral part of several industries. Now they are making their way to smart city initiatives, intending to automate and advance municipal activities and operations at large.
A smart city has various use cases for AI-driven and IoT-enabled technology, from maintaining a healthier environment to advancing public transport and safety.
By leveraging AI and machine learning algorithms, along with IoT, a city can plan for better smart traffic solutions making sure that inhabitants get from one point to another as safely and efficiently as possible.
(New) Business models shaping future mobilityJosep Laborda
The "as a Service" paradigm coming to mobility, MaaS, insights on the market and drivers for MaaS and some hints on factors that will drive MaaS, such as cooperation among stakeholders, electrification, autonomous driving and the sharing economy.
The Smart Parking Solutions makes use of sensing devices such as vehicle counting equipment, cameras, sensors installed in pavements, etc. to discover occupancy of the parking lot. The strong sensing systems are being built to examine and transfer the data to the database in real-time.
The system increases the accessibility of parking with the use of sensors. The sensors placed in the pavement of the selected parking spaces to recognize if a parking slot is occupied or vacant.
Sensors communicate with the gateway and that data will be pushed to the cloud. Sensors then immediately show the availability of parking slots. This can be viewed on the Mobile APP or the sensors placed on the parking slots so drives can easily identify the space.
Faststream’s Intelligent Parking Solutions use the full potential of digitalization: smart sensors, intelligent software, and clever analysis of the available data. The system eliminates unnecessary parking-related traffic and ensures optimum utilization of urban parking facilities. This saves time, reduces the environmental impact of traffic, and improves the quality of life in the city.
Short presentation about the role of AMS in solving Amsterdam mobility issues and setting the mobility agenda. Linking science and practise using Amsterdam as a Living Lab.
Keynote Presentation on 2009 China Travel Distribution Summit
Spotlight: The Evolution of Mobile Implication in Travel
Mobile technology is finally on the precipice of altering consumer travel planning behavior. New wireless applications and convergent devices are in the offing, forcing travel players to respond. The case studies from AT&T and Rakuten Travel will elaborate how the mobile technology is helping the travel companies improve the travel planning experience and make the real deal.
Speaker:
Ricky Heath, Travel and Transportation Head, AT&T
14 Counties 14 Opportunities to restore Vermont's Economic Engine. Vermont presently is the #7 most taxed State in the country while being #49 2nd WORST in economic outlook. Vermont used to have a robust diverse economic engine building a global reputation for delivering quality products and services.
This document discusses various deployment scenarios and best practices for optimized SF Oracle RAC deployment in Oracle VM Server for SPARC environments using N-port ID virtualization (NPIV) technology. NPIV provides multiple paths to Oracle VM servers (formerly ORACLE VMs) and helps to enable I/O fencing and Veritas Dynamic Multipathing (DMP) to leverage SFHA solutions features in a cost-effective manner within virtualized environments. This configuration also helps to make the
SF Oracle RAC database instance highly available in virtualized environments.
This document discusses the configuration scenario and the corresponding workflows for migrating SF Oracle RAC logical partitions (Oracle VM Server for SPARC) between different physical hosts. The workflow leverages the functionality of Storage Foundation Applications Edition (SFAE) for backup and recovery
Romeo, the little black dog, shares some of his most popular blog posts. This collection features his helpful tips for each season of the year to help you keep your family and your pets safe and healthy all year. Romeo has a large following for his weekly blog and on social media.
Mr. Paul Chang's presentation at QITCOM 2011QITCOM
QITCOM 2011
Presentation:
City Operations Centre for Managing City
Presenter:
Mr. Paul Chang - Business Development Executive for Emerging Markets, IBM
A presentation by Neil Frost (Chief Executive Officer: iSAHA), at the Transport Forum SIG: "Cost Effective Public Transport Management Systems" on 12 May 2016 hosted by University of Johannesburg. The theme of the presentation was: "Big Data and Public Transport."
Tips For Implementing Smart City TechnologyAlan Oviatt
The concept of smart cities was premised on integrating information, communications and Internet of Things (IoT) technologies like sensors and cameras in a secure fashion to manage a city's assets. One goal was more effective and cost-efficient management of city infrastructures and property, but equally important was responsiveness to emerging infrastructure events to help cities and their occupants. By Alan Oviatt
In recent years usage of private vehicles create urban traffic more and more crowded. As result traffic becomes one of the important problems in big cities in all over the world. Some of the traffic concerns are traffic jam and accidents which have caused a huge waste of time, more fuel consumption and more pollution. Time is very important parameter in routine life. The main problem faced by the people is real time routing. Our solution Virtual Eye will provide the current updates as in the real time scenario of the specific route. This research paper presents smart traffic navigation system, based on Internet of Things, which is featured by low cost, high compatibility, easy to upgrade, to replace traditional traffic management system and the proposed system can improve road traffic tremendously.
ITS is the system defined as the electronics, advanced technology, communications or information processing used singly or integrated to enhance safety, mobility, and the economic vitality of the surface transportation system. The Intelligent Transport Systems (ITS) makes automobiles and the road traffic infrastructure intellectual and information-oriented in an integrated way to provide a safe and comfortable traffic system.
All throughout APAC the landscape is changing and presenting a need for smart mobility. Read more in detail to learn how businesses can seize opportunities with the right IT strategy and the right partnership.
Connected Lives: Where Smart Vehicles Meet the Intelligent RoadCognizant
The digital highway promises to enable an ever-expanding ecosystem encompassing intelligent transportation systems, smart cities and logistics systems, optimizing productivity and performance for businesses and individuals.
User-Driven Cloud Transportation System for Smart Drivingamg93
A user-driven pattern of ITS based on cloud computing technology named user-driven cloud transportation system (CTS) foe smarter user of transportation network.
Introductory deck describing Parkofon's unique infrastructure-free technology and value proposition across multiple modes as a provider of Mobility-as-a-Service (MaaS)
1. TRAFFIC MANAGEMENT Real time information
P
robably anyone reading this
has been in this situation more
times than they can count.
The traffic on the motorway
has already slowed to a
crawl and the VMS sign ahead flashes:
CONGESTION NEXT 20km.
Brilliant! At this point you are
committed to stay in the jam with the
most viable alternate routes well behind
you and the ones ahead now filling up as
drivers bail out at the first opportunity,
quickly tying up the secondary roads.
You are on a modern, well-managed
highway in a major city with a good
current generation ITS infrastructure. The
traffic management centre is fully aware of
the situation. Roadside cameras and loop
detectors in the system are all working
perfectly generating a stream of images
and probe data in real-time as they were
designed and (procured at great expense)
to do. So why didn’t all this technology
prevent the traffic jam that you and about
30,000 others are sitting in right now
or that the one that millions around the
world experience on a daily basis?
The simple answer is that real-time
transport management, no matter how
much data is available or how quickly and
effectively it can be processed, simply isn’t
good enough.
For decision-makers from city managers
to operations centre supervisors to
individual drivers to have the means to
avoid delays caused by any number of
events, they must be able to anticipate,
forecast and take action well ahead of
what’s happening at that moment.
MORETHAN AN EDUCATED
GUESS
This is exactly the situation that
predictive analytics are designed to
address – for virtually all transport
modes whether highway, bus, ferry, rail,
or any combination or sub-category
thereof. As it has in other areas of both
artificial intelligence and ‘big data’
management technology, IBM and
other members of the global ICT
David E Pickeral on when real time isn’t good enough
Predictive
text
>>>
2. TRAFFIC MANAGEMENT
community are developing predictive analytics as the essential
next step in ITS evolution.
Recognising the substantial investment in transport
monitoring technology to date, predictive analytics is about
enhancement not replacement. Enhanced assets such as
analytical tools, trackers, dashboards, ATMS and TIS become
an order of magnitude more effective by integrating multiple
sources of data – in far larger volumes than ever before possible
– to look ahead of real-time with a high degree of accuracy.
A SENSE OF HISTORY
IBM’s Traffic Prediction Tool (TPT), which has been piloted
in Singapore, is in the process of being selectively deployed
elsewhere around the world. Through its synthesis of both
real time and historical data, TPT is able to provide extremely
accurate predictions about how and to what extent specific
incidents or events will affect all modes within the transport
ecosystem collectively and individually. As a result, all
stakeholders are empowered with accurate information
accompanied by actionable recommendations far earlier than
ever before possible. This gives transport operators the ability
to mitigate or even eliminate problems in the transport system,
not merely react to them.
The result is that predictive analytics, when used in concert
with advanced traffic management, ensures the reliable
and unhindered flow of goods and people through existing
Traffic in Singapore which piloted IBM’sTraffic PredictionTool
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Barco’s Sense6
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3. Real time information
DavidPickeralisGlobalDevelopmentExecutiveforSmarter
TransportationatIBM,basedinWashington,DC
depicker@us.ibm.com
www.linkedin.com/in/pickeral
ReadmoreinourARCHIVESatthinkinghighways.com/archives.aspx
fyi
transport channels without the need to expand physical
infrastructure or replace existing ITS systems. Additionally,
there are socio-economic and environmental benefits. In any
geography or economy, that translates to a win-win situation.
Today there are more than a billion cars worldwide and that
number will double by 2020. Traffic increased 236 per cent
as the population grew 20 per cent between 1982 and 2001 in
the US. Clearly the situation demands a different paradigm
so we can get more throughput out of existing road, rail,
runway and waterway infrastructure. By starting the process
of deploying analytical tools across all modes as budgets and
schedules allow, transportation planner will take positive
steps to ensure that as the years progress transport modes
of the world stay ahead of this growth both collectively and
individually, ensuring the flow of goods and people as the
century progresses.