FactISTM systems use machine vision and automated data processing to conduct near real-time inspections of passing trains at speeds up to 160 km/hr. The systems capture images and data on components like wheels, brakes, springs and couplers to identify issues and replace manual inspections. Early use detected a wheel with increasing flange wear over 56,000 km that traditional inspections had missed. Current installations are in several countries to improve safety through objective 24/7 monitoring of train components.
Seminar on Sustainable Intelligent Transportation System after Market Research on Advancements in Automotive Industries incorporating Telematic, Infotainment with Vehicle
Generation of Autonomous Vehicle Validation Scenarios Using Crash DataM. Ilhan Akbas
Autonomous vehicle (AV) technology is expected to
make a transformative impact on mobility. As a step towards that
direction, advanced driver-assistance systems (ADAS) and semiautonomous
features have been increasingly deployed in modern
vehicles. Consequently, there have been crashes reported for these
vehicles while operating in autonomous mode. In this paper,
we describe a methodology to use the information from these
crashes for the validation of autonomous vehicles, which is the
most critical obstacle in their mass deployment. We use existing
crash databases and provide a methodology to automatically
convert them into test scenarios in simulation, using our scenario
generation framework. The methodology assists in validation
by recreating crashes and their cousin scenarios. It is also
instrumental in forming the requirements the accident reports
for autonomous vehicles.
types of modern technologies used in transportation, uses of modern technology in transportation ,Introduction
Why ITS?
Application of ITS
Implementation of ITS
Benefits of ITS
Demerits of ITS
Ethernet Performance Measurement on the AMS-IX PlatformMichiel Appelman
Diving into protocols to measure the delay, jitter and frame loss in a high performance Ethernet platform. AMS-IX has chosen to use Ethernet OAM Y.1731 to measure their KPI's.
Erez Dagan, SVP Advanced development and strategy, Mobileye - Workshop on Safety of Automated Vehicles (in collaboration with IRCOBI) - 12 September 2017 - Antwerp, Belgium
Seminar on Sustainable Intelligent Transportation System after Market Research on Advancements in Automotive Industries incorporating Telematic, Infotainment with Vehicle
Generation of Autonomous Vehicle Validation Scenarios Using Crash DataM. Ilhan Akbas
Autonomous vehicle (AV) technology is expected to
make a transformative impact on mobility. As a step towards that
direction, advanced driver-assistance systems (ADAS) and semiautonomous
features have been increasingly deployed in modern
vehicles. Consequently, there have been crashes reported for these
vehicles while operating in autonomous mode. In this paper,
we describe a methodology to use the information from these
crashes for the validation of autonomous vehicles, which is the
most critical obstacle in their mass deployment. We use existing
crash databases and provide a methodology to automatically
convert them into test scenarios in simulation, using our scenario
generation framework. The methodology assists in validation
by recreating crashes and their cousin scenarios. It is also
instrumental in forming the requirements the accident reports
for autonomous vehicles.
types of modern technologies used in transportation, uses of modern technology in transportation ,Introduction
Why ITS?
Application of ITS
Implementation of ITS
Benefits of ITS
Demerits of ITS
Ethernet Performance Measurement on the AMS-IX PlatformMichiel Appelman
Diving into protocols to measure the delay, jitter and frame loss in a high performance Ethernet platform. AMS-IX has chosen to use Ethernet OAM Y.1731 to measure their KPI's.
Erez Dagan, SVP Advanced development and strategy, Mobileye - Workshop on Safety of Automated Vehicles (in collaboration with IRCOBI) - 12 September 2017 - Antwerp, Belgium
The SideSlip Angle Estimator is an algorithm developed by Addfor to estimate the Drifting Angle of a Vehicle.
The SideSlip also known as “Beta” or “Drifting” angle is the angle between the longitudinal axis of the vehicle and its speed direction. This angle cannot be measured with standard sensors but is very important for the modern Traction Control Systems.
Addfor has developed an high performance estimator based on the Deep Learning technology that outperforms the commonly known Kalman filtering approach.
For more information visit: www.add-for.com
The Performance Traction Control is an algorithm developed by Addfor to maximize the vehicle performance in every driving condition giving the vehicle the maximum available acceleration in exiting turns.
For any product details or customer specific questions our highly specialized team of Data Scientists and Engineers are available to answer you questions.
For more information visit: www.add-for.com
This presentation highlights the application of "5-Phase Project Management" implemented by Weiss and Wysocki, towards an automated traffic control system.
This presentation basically talks about the anti collision technology which is particularly implemented in cars in which cars are developed with anti collision technology which reduces the collision between them.
The state of the art technology has blessed us with intelligent traffic Management system which has not only led to the streamlining of traffic but also saves a lot of time by pre-informing the commuters about the traffic conditions, weather condition, alternative route, route map etc.
Successful Lighthouse City Smart Solutions Replication in Fellow Cities?Milla J. Åman
Learning from the Successful - SCC Replication Workshop (26th Jan 2018 @ INEA, Brussels) - Smart Mobility Roundtable Session: Robotbuses in Helsinki by Metropolia UAS
For Vehicle testing we offer all instruments and after sale support and services.
OEM Technological Instruments offers you the best technology for your R&D and Testing applications.
Please Feel Free to contact Us for any Inquiry.
Mobile : +91-9810533190
Tel: 0120-4370020
E-mail: mail@oemtesting.com oemtech@sify.com
Op de kletsnatte en door files geteisterde donderdagavond van 16 mei vond in de ConQuaestor Arena de kick-off plaats van de Content Club. Thema voor deze avond: Brand publishing; het hoe en waarom merken uitgevers worden.
Dit is de presentatie van Ronald Fabbro, Manager Marketing & Communicatie bij ConQuaestor.
Check de inleiding op mijn verhaal (by Cor Hospes):
http://www.molblog.nl/bericht/conquaestor-spreekt-op-content-club/
Check het verslag van de bijeenkomst (by Aldert Faassen) molblog:http://www.molblog.nl/bericht/content-club-kick-off-3-inspirerende-contentmarketing-cases-van-nederlandse/
The SideSlip Angle Estimator is an algorithm developed by Addfor to estimate the Drifting Angle of a Vehicle.
The SideSlip also known as “Beta” or “Drifting” angle is the angle between the longitudinal axis of the vehicle and its speed direction. This angle cannot be measured with standard sensors but is very important for the modern Traction Control Systems.
Addfor has developed an high performance estimator based on the Deep Learning technology that outperforms the commonly known Kalman filtering approach.
For more information visit: www.add-for.com
The Performance Traction Control is an algorithm developed by Addfor to maximize the vehicle performance in every driving condition giving the vehicle the maximum available acceleration in exiting turns.
For any product details or customer specific questions our highly specialized team of Data Scientists and Engineers are available to answer you questions.
For more information visit: www.add-for.com
This presentation highlights the application of "5-Phase Project Management" implemented by Weiss and Wysocki, towards an automated traffic control system.
This presentation basically talks about the anti collision technology which is particularly implemented in cars in which cars are developed with anti collision technology which reduces the collision between them.
The state of the art technology has blessed us with intelligent traffic Management system which has not only led to the streamlining of traffic but also saves a lot of time by pre-informing the commuters about the traffic conditions, weather condition, alternative route, route map etc.
Successful Lighthouse City Smart Solutions Replication in Fellow Cities?Milla J. Åman
Learning from the Successful - SCC Replication Workshop (26th Jan 2018 @ INEA, Brussels) - Smart Mobility Roundtable Session: Robotbuses in Helsinki by Metropolia UAS
For Vehicle testing we offer all instruments and after sale support and services.
OEM Technological Instruments offers you the best technology for your R&D and Testing applications.
Please Feel Free to contact Us for any Inquiry.
Mobile : +91-9810533190
Tel: 0120-4370020
E-mail: mail@oemtesting.com oemtech@sify.com
Op de kletsnatte en door files geteisterde donderdagavond van 16 mei vond in de ConQuaestor Arena de kick-off plaats van de Content Club. Thema voor deze avond: Brand publishing; het hoe en waarom merken uitgevers worden.
Dit is de presentatie van Ronald Fabbro, Manager Marketing & Communicatie bij ConQuaestor.
Check de inleiding op mijn verhaal (by Cor Hospes):
http://www.molblog.nl/bericht/conquaestor-spreekt-op-content-club/
Check het verslag van de bijeenkomst (by Aldert Faassen) molblog:http://www.molblog.nl/bericht/content-club-kick-off-3-inspirerende-contentmarketing-cases-van-nederlandse/
A highway variable speed limit control system based on internet of thingsijmnct
It is an important issue of Intelligent Transportation System, how to quickly relieve the highway congestion.
The variable speed limit control system can limit the traffic flow before the highway congestion zone. So it
is wildly used to relieve the highway congestion. In this paper, we propose a novel highway variable speed
limit control system base on the Winternet Architecture. We use the STeC language to describe the system’s
formal model. Finally, we give control algorithm of the highway variable speed limit control system, which
based on the formal model. The simulation results show the control algorithm is effective.
If someone asks (and only then) You can say we use the name FactIs because we could get it registered as a trade mark.(Couldn’t do that with ATEx)Regarding the list of features, you can say that these are the features that the current systems possess. However, to get to that took a long time and required many technical innovations along the way.