By extracting data from Enterprise Resource Planning (ERP) and Transport Management (TM) systems, particularly larger companies can easily generate data for official reporting obligation and directly transfer it to the National Statistical Institution (NSI).
What to do with the existing spatial data in planningKarel Charvat
Spatial planning acts between all levels of government so planners face important challenges in the development of territorial frameworks and concepts every day.
Spatial planning systems, the legal situation and spatial planning data management are completely different and fragmented throughout Europe.
Nevertheless, planning is a holistic activity.
All tasks and processes must be solved comprehensively with
input from various sources.
It is necessary to make inputs interoperable because it allows the user to search data from different sources, view them, download them and use them with help of geoinformation technologies (GIT).
Building Freight Planning Skills for Small MPO and Rural Transportation PlannersRPO America
In this session at the 2016 National Regional Transportation Conference, Crystal Jones, Federal Highway Administration, provided an informational overview of freight data, freight and land use, and freight corridors.
CarStream: An Industrial System of Big Data Processing for Internet of Vehiclesijtsrd
As the Internet-of-Vehicles (IoV) technology becomes an increasingly important trend for future transportation, de-signing large-scale IoV systems has become a critical task that aims to process big data uploaded by fleet vehicles and to provide data-driven services. The IoV data, especially high-frequency vehicle statuses (e.g., location, engine parameters), are characterized as large volume with a low density of value and low data quality. Such characteristics pose challenges for developing real-time applications based on such data. In this paper, we address the challenges in de-signing a scalable IoV system by describing CarStream, an industrial system of big data processing for chauffeured car services. Photon is deployed within Google Advertising System to join data streams such as web search queries and user clicks on advertisements. It produces joined logs that are used to derive key business metrics, including billing for advertisers. Our production deployment processes millions of events per minute at peak with an average end-to-end latency of less than 10 seconds. We also present challenges and solutions in maintaining large persistent state across geographically distant locations, and highlight the design principles that emerged from our experience. Rakshitha K. S | Radhika K. R"CarStream: An Industrial System of Big Data Processing for Internet of Vehicles" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14408.pdf http://www.ijtsrd.com/computer-science/database/14408/carstream-an-industrial-system-of-big-data-processing-for-internet-of-vehicles/rakshitha-k-s
My slides at the API strategy workshop (17-18 October 2018,
JRC, Ispra (VA), Italy) on EU API strategies. Find my video at: https://youtu.be/aDbndTop-_A and all the presentations and videos of the Workshop at: https://ec.europa.eu/jrc/en/event/workshop/assessing-government-api-strategies-across-eu. Enjoy also the presentations of Mehdi Medjaoui, David Berlind, Kin Lane and Mark Boyd!
What to do with the existing spatial data in planningKarel Charvat
Spatial planning acts between all levels of government so planners face important challenges in the development of territorial frameworks and concepts every day.
Spatial planning systems, the legal situation and spatial planning data management are completely different and fragmented throughout Europe.
Nevertheless, planning is a holistic activity.
All tasks and processes must be solved comprehensively with
input from various sources.
It is necessary to make inputs interoperable because it allows the user to search data from different sources, view them, download them and use them with help of geoinformation technologies (GIT).
Building Freight Planning Skills for Small MPO and Rural Transportation PlannersRPO America
In this session at the 2016 National Regional Transportation Conference, Crystal Jones, Federal Highway Administration, provided an informational overview of freight data, freight and land use, and freight corridors.
CarStream: An Industrial System of Big Data Processing for Internet of Vehiclesijtsrd
As the Internet-of-Vehicles (IoV) technology becomes an increasingly important trend for future transportation, de-signing large-scale IoV systems has become a critical task that aims to process big data uploaded by fleet vehicles and to provide data-driven services. The IoV data, especially high-frequency vehicle statuses (e.g., location, engine parameters), are characterized as large volume with a low density of value and low data quality. Such characteristics pose challenges for developing real-time applications based on such data. In this paper, we address the challenges in de-signing a scalable IoV system by describing CarStream, an industrial system of big data processing for chauffeured car services. Photon is deployed within Google Advertising System to join data streams such as web search queries and user clicks on advertisements. It produces joined logs that are used to derive key business metrics, including billing for advertisers. Our production deployment processes millions of events per minute at peak with an average end-to-end latency of less than 10 seconds. We also present challenges and solutions in maintaining large persistent state across geographically distant locations, and highlight the design principles that emerged from our experience. Rakshitha K. S | Radhika K. R"CarStream: An Industrial System of Big Data Processing for Internet of Vehicles" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14408.pdf http://www.ijtsrd.com/computer-science/database/14408/carstream-an-industrial-system-of-big-data-processing-for-internet-of-vehicles/rakshitha-k-s
My slides at the API strategy workshop (17-18 October 2018,
JRC, Ispra (VA), Italy) on EU API strategies. Find my video at: https://youtu.be/aDbndTop-_A and all the presentations and videos of the Workshop at: https://ec.europa.eu/jrc/en/event/workshop/assessing-government-api-strategies-across-eu. Enjoy also the presentations of Mehdi Medjaoui, David Berlind, Kin Lane and Mark Boyd!
WHITE PAPER: Data Harmonization & Interoperability in OpenTransportNetplan4all
OpenTransportNet (OTN) distributes a series of White Papers to showcase its innovative approach in the
technical implementation of the OTN Hubs, and to communicate key outcomes in terms of service creation
and harmonisation of transport related data.
The White Papers are intended to provide insights and share lessons learned to others interested in using
the OTN approach for aggregating, harmonizing and visualising transport data. The audience for these
White Papers are mainly city and regional authorities that maintain and aggregate diverse data sources and
stimulate innovation development in transport, and the wider community of developers and experts in the
field of (geo) data as an opportunity to network and exchange knowledge.
This first White Paper, in a series of three, focuses on the data harmonisation process of the OTN project,
and is structured along the following use cases: (1) metadata harmonization through the CKAN and Micka
metadata management tools, and the upcoming GeoDCAT-AP metadata profile, (2), the DataTank data
management system and (3) the harmonized data model for road network data.
The paper starts with the main concepts of data interoperability and harmonization. Next, the use cases
are described that were implemented in the OTN project until January 2016 with the collaboration of the
four pilot cities (Antwerp, Issy-les-Moulineaux, Birmingham and the Liberec Region) and with the
consultation of the standard bodies Open Geospatial Consortium (OGC) and the World Wide Web
Consortium (W3C), and the in-house research centre of the European Commission, the Joint Research
Centre (JRC). The White Paper ends with harmonization guidelines for cities and regions interested in using
the OTN approach, and next steps of the OTN project in harmonization.
The second White Paper will describe further transport-related use cases including the Smart Points of
Interest in RDF and the Open Land Use Map. The second paper will also elaborate on the licensing aspects
of the project. The last White Paper will provide testimonials of pilot cities and regions and their key
outcomes, including innovative ways of big data visualizations and the involvement of local communities in
the co-creation of services.
A multi-objective evolutionary scheme for control points deployment in intell...IJECEIAES
One of the problems that hinder emergency in developing countries is the problem of monitoring a number of activities on inter-urban roadway networks. In the literature, the use of control points is proposed in the context of these countries in order to ensure efficient monitoring, by ensuring a good coverage while minimizing the installation costs as well as the number of accidents across these road networks. In this work, we propose an optimal deployment of these control points from several optimization methods based on some evolutionary multi-objective algorithms: the Non dominated sorting genetic algorithm-II (NSGA-II); the multi-objective particle swarm optimization (MOPSO); the strength pareto evolutionary algorithm-II (SPEA-II); and the pareto envelope based selection algorithm-II (PESA-II). We performed the tests and compared these deployments using pareto front and performance indicators like the spread and hypervolume and the inverted generational distance (IGD). The results obtained show that the NSGA-II method is the most adequate in the deployment of these control points.
Towards an Affordable GIS for Analysing Public Transport Mobility DataBenito Zaragozí
Slides of a presentation at the GISTAM 2020 conference (streaming event). It's a proposal for naming the outputs of querying a database containing public transportation data from smart cards.
Automatic detection and recognition of traffic signs is an essential part of automated driver assistance systems which contribute to the safety of the drivers, pedestrians and vehicles. This paper presents the advanced driver assistance system (ADAS) based on Raspberry pi for traffic sign detection, recognition and annunciation. Such a system presents a vital support for driver assistance in an intelligent automotive. The proposed algorithm is implemented in a real time embedded system using OpenCV library. Proposed method introduced a new method for detection and recognition of traffic signs. Firstly, Potential traffic signs regions are detected by colour segmentation method, then classified using HOG features and a linear SVM classifier to identify the traffic sign class. The proposed system shows good recognition rate under complex challenging lighting and weather conditions. Experimental results on the accuracy of the road sign detection are reported in this paper.
Port authorities worldwide are facing the challenge to morph from a landlord role, renting out public space to maritime logistics companies to a business developer role. In that function port authorities must
• include land based transport to/from the port into consideration;
• attract cargo/shippers and shipping lines to use their port facilities to justify investments;
• increase the reliability and cost-effectiveness of their service;
... in other words, become more competitive.
Many ports around the world are heeding the call. Supporting their efforts to become more competitive, they require empirical information which is current, comprehensive and actionable and can be used to compare a ports performance with those of its peers/competitors.
Maritime transport data, in combination with trade and road transportation data, presented in a self service fashion using SuperVIEW can be used by port authorities for strategic planning and analysis to
• provide a comprehensive picture of the development of transport in the economic zone;
• support the development of strategic scenarios for port communities;
• provide port authorities with strategic management capabilities to measure their performance and to analyze trends.
Benefits of such a service that can be provided by NSO's or other agencies include:
• increase the usefulness of statistics through meaningful combinations of surveys and trade data
• enhance the use of collected data by putting it in the regional and international context
• provide guided (purposefully constrained) analytics for "casual user
www.paradigma.net
2011 ITS World Congress - GO-Sync - A Framework to Synchronize Transit Agency...Sean Barbeau
Discusses an open-source tool that can sync GTFS datasets with OpenStreetMap to help small agencies manage their bus stop inventory via crowd-sourcing. Includes some actual results of crowd-sourcing bus stop location accuracy in Tampa, FL.
Examining Pareto optimality in analytic hierarchy process on real Data: An ap...BME
Recent findings in operations research and decision theory show that the eigenvectors derived from pair- wise comparison matrices are not Pareto optimal in all cases. Thus, looking at the traditional eigenvector method of Saaty, a better approximation may exist for characterizing the decision makers’ opinion. The Pareto optimal modified vector may lead to better decisions for better expressing the real intention of the evaluator. This paper aims to examine Pareto-optimality on real data pairwise comparison matrices gained from a public transport Analytic Hierarchy Process (AHP) survey. Moreover, detecting the impact of weight score modification on the whole AHP structure and thus the significance of Pareto test is also in the scope of this study. Further, a detailed description of the general process of Pareto optimal AHP is also included. The application has been conducted in Mersin, Turkey with the purpose of determining public preference on the importance of developing supply quality elements in local bus transportation service.
WHITE PAPER: Data Harmonization & Interoperability in OpenTransportNetplan4all
OpenTransportNet (OTN) distributes a series of White Papers to showcase its innovative approach in the
technical implementation of the OTN Hubs, and to communicate key outcomes in terms of service creation
and harmonisation of transport related data.
The White Papers are intended to provide insights and share lessons learned to others interested in using
the OTN approach for aggregating, harmonizing and visualising transport data. The audience for these
White Papers are mainly city and regional authorities that maintain and aggregate diverse data sources and
stimulate innovation development in transport, and the wider community of developers and experts in the
field of (geo) data as an opportunity to network and exchange knowledge.
This first White Paper, in a series of three, focuses on the data harmonisation process of the OTN project,
and is structured along the following use cases: (1) metadata harmonization through the CKAN and Micka
metadata management tools, and the upcoming GeoDCAT-AP metadata profile, (2), the DataTank data
management system and (3) the harmonized data model for road network data.
The paper starts with the main concepts of data interoperability and harmonization. Next, the use cases
are described that were implemented in the OTN project until January 2016 with the collaboration of the
four pilot cities (Antwerp, Issy-les-Moulineaux, Birmingham and the Liberec Region) and with the
consultation of the standard bodies Open Geospatial Consortium (OGC) and the World Wide Web
Consortium (W3C), and the in-house research centre of the European Commission, the Joint Research
Centre (JRC). The White Paper ends with harmonization guidelines for cities and regions interested in using
the OTN approach, and next steps of the OTN project in harmonization.
The second White Paper will describe further transport-related use cases including the Smart Points of
Interest in RDF and the Open Land Use Map. The second paper will also elaborate on the licensing aspects
of the project. The last White Paper will provide testimonials of pilot cities and regions and their key
outcomes, including innovative ways of big data visualizations and the involvement of local communities in
the co-creation of services.
A multi-objective evolutionary scheme for control points deployment in intell...IJECEIAES
One of the problems that hinder emergency in developing countries is the problem of monitoring a number of activities on inter-urban roadway networks. In the literature, the use of control points is proposed in the context of these countries in order to ensure efficient monitoring, by ensuring a good coverage while minimizing the installation costs as well as the number of accidents across these road networks. In this work, we propose an optimal deployment of these control points from several optimization methods based on some evolutionary multi-objective algorithms: the Non dominated sorting genetic algorithm-II (NSGA-II); the multi-objective particle swarm optimization (MOPSO); the strength pareto evolutionary algorithm-II (SPEA-II); and the pareto envelope based selection algorithm-II (PESA-II). We performed the tests and compared these deployments using pareto front and performance indicators like the spread and hypervolume and the inverted generational distance (IGD). The results obtained show that the NSGA-II method is the most adequate in the deployment of these control points.
Towards an Affordable GIS for Analysing Public Transport Mobility DataBenito Zaragozí
Slides of a presentation at the GISTAM 2020 conference (streaming event). It's a proposal for naming the outputs of querying a database containing public transportation data from smart cards.
Automatic detection and recognition of traffic signs is an essential part of automated driver assistance systems which contribute to the safety of the drivers, pedestrians and vehicles. This paper presents the advanced driver assistance system (ADAS) based on Raspberry pi for traffic sign detection, recognition and annunciation. Such a system presents a vital support for driver assistance in an intelligent automotive. The proposed algorithm is implemented in a real time embedded system using OpenCV library. Proposed method introduced a new method for detection and recognition of traffic signs. Firstly, Potential traffic signs regions are detected by colour segmentation method, then classified using HOG features and a linear SVM classifier to identify the traffic sign class. The proposed system shows good recognition rate under complex challenging lighting and weather conditions. Experimental results on the accuracy of the road sign detection are reported in this paper.
Port authorities worldwide are facing the challenge to morph from a landlord role, renting out public space to maritime logistics companies to a business developer role. In that function port authorities must
• include land based transport to/from the port into consideration;
• attract cargo/shippers and shipping lines to use their port facilities to justify investments;
• increase the reliability and cost-effectiveness of their service;
... in other words, become more competitive.
Many ports around the world are heeding the call. Supporting their efforts to become more competitive, they require empirical information which is current, comprehensive and actionable and can be used to compare a ports performance with those of its peers/competitors.
Maritime transport data, in combination with trade and road transportation data, presented in a self service fashion using SuperVIEW can be used by port authorities for strategic planning and analysis to
• provide a comprehensive picture of the development of transport in the economic zone;
• support the development of strategic scenarios for port communities;
• provide port authorities with strategic management capabilities to measure their performance and to analyze trends.
Benefits of such a service that can be provided by NSO's or other agencies include:
• increase the usefulness of statistics through meaningful combinations of surveys and trade data
• enhance the use of collected data by putting it in the regional and international context
• provide guided (purposefully constrained) analytics for "casual user
www.paradigma.net
2011 ITS World Congress - GO-Sync - A Framework to Synchronize Transit Agency...Sean Barbeau
Discusses an open-source tool that can sync GTFS datasets with OpenStreetMap to help small agencies manage their bus stop inventory via crowd-sourcing. Includes some actual results of crowd-sourcing bus stop location accuracy in Tampa, FL.
Examining Pareto optimality in analytic hierarchy process on real Data: An ap...BME
Recent findings in operations research and decision theory show that the eigenvectors derived from pair- wise comparison matrices are not Pareto optimal in all cases. Thus, looking at the traditional eigenvector method of Saaty, a better approximation may exist for characterizing the decision makers’ opinion. The Pareto optimal modified vector may lead to better decisions for better expressing the real intention of the evaluator. This paper aims to examine Pareto-optimality on real data pairwise comparison matrices gained from a public transport Analytic Hierarchy Process (AHP) survey. Moreover, detecting the impact of weight score modification on the whole AHP structure and thus the significance of Pareto test is also in the scope of this study. Further, a detailed description of the general process of Pareto optimal AHP is also included. The application has been conducted in Mersin, Turkey with the purpose of determining public preference on the importance of developing supply quality elements in local bus transportation service.
(Paper) A Method for Sharing Traffic Jam Information using Inter-Vehicle Comm...Naoki Shibata
Shibata, N., Terauchi, T., Kitani, T., Yasumoto, K., Ito, M., Higashino, T.: A Method for Sharing Traffic Jam Information Using Inter-Vehicle Communication, The 2nd International Workshop on Vehicle-to-Vehicle Communications (V2VCOM) (Mobiquitous2006 Workshop), pp. 1-7, DOI:10.1109/MOBIQ.2006.340428 (July 2006) (invited paper).
http://ito-lab.naist.jp/themes/pdffiles/060725.shibata.v2vcom06.pdf
In this paper, we propose a method for cars to autonomously and cooperatively collect traffic jam statistics to estimate arrival time to destination for each car using inter-vehicle communication. In the method, the target geographical region is divided into areas, and each car measures time to pass through each area. Traffic information is collected by exchanging information between cars using inter-vehicle communication. In order to improve accuracy of estimation, we introduce several mechanisms to avoid same data to be repeatedly counted. Since wireless bandwidth usable for exchanging statistics information is limited, the proposed method includes a mechanism to categorize data, and send important data prior to other data. In order to evaluate effectiveness of the proposed method, we implemented the method on a traffic simulator NETSTREAM developed by Toyota Central R&D Labs, conducted some experiments and confirmed that the method achieves practical performance in sharing traffic jam information using inter-vehicle communication.
This white paper presents a spatial decision support system (SDSS) aimed at generating optimized vehicles routes for multiple vehicles routing problems that involves serving the demand located at nodes of a transportation network. The SDSS incorporates MapPointTM (cartography and network data), a database and a metaheuristic developed generate routes.
Lecture given at EPFL as part of the course "Introduction to transportation systems" (Bachelor semester 6, Civil engineering). To see the video on slide 32: https://api.eu.kaltura.com/html5/html5lib/v2.98/mwEmbedFrame.php/p/324/uiconf_id/23453841/entry_id/0_mppdaxl3?wid=_324&iframeembed=true&playerId=kaltura_player&entry_id=&wid=0_h4mrwvlw
Intelligent Traffic Management System using Shortest Pathijtsrd
Due to current significant increases in population and consequently in traffic congestion in most metropolitan cities in the world, designing of an intelligent traffic management system ITMS in order to detect the path with the shortest travel time is critical for emergency, health, and courier services. The aim of this research study was to develop a theoretical traffic detection system and capable of estimating the travel time associated with each street segment based on the traffic data updated every 20 seconds, which successively finds the path with the shortest travel time in the network by using a dynamic programming technique. Furthermore, in this study we model the travel time associated with each street segment based on the historical and real time data considering that the traffic speed on each road segment is piecewise constant. It would be useful to implement such algorithms in GIS systems such as Google map in such a way that the service delivery drivers can avoid congested routes by receiving real time traffic information. Bharti Kumari | Vinod Mahor "Intelligent Traffic Management System using Shortest Path" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-5 , August 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50598.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/50598/intelligent-traffic-management-system-using-shortest-path/bharti-kumari
VEHICULAR 2020 Presentation by Kohei HosonoKohei Hosono
Title:
Implementation and Evaluation of Priority Processing by Controlling Transmission Interval Considering Traffic Environment in a Dynamic Map
Author:
Kohei Hosono, Akihiko Maki, Yoichi Watanabe, Hiroaki Takada, Kenya Sato
Affiliation:
Computer and Information Science, Graduate School of Science and Engineering, Doshisha University
Fujitsu Limited
Institutes of Innovation for Future Society, Nagoya University
Mobility Research Center, Doshisha University
Conference:
The Ninth International Conference on Advances in Vehicular Systems, Technologies and Applications VEHICULAR 2020
Abstract:
Much attention has been attracted to the research of cooperative automatic driving that focuses on safety and efficiency by sharing the data obtained from sensor information of a vehicle. In addition, dynamic maps, a common information and communication platform for the integrated management of shared sensor information, are under consideration. A vehicle always sends data to a server that manages the dynamic map, and the server runs applications for driving support and control on the basis of the data, so fast information processing is required. However, congestion is a concern when data is continuously sent from vehicles to the server at high transmission intervals and when many vehicles are managed by dynamic maps on the server. In addition, the data transmission interval from the vehicle required by the road characteristics differs in actual traffic environments. Therefore, congestion can be alleviated by adjusting the transmission interval of data from the vehicle in consideration of road characteristics. In this paper, a platform for a dynamic map consisting of a server and a vehicle is constructed. We have also implemented a priority processing function that sets the priority for each section of a lane, and adjusts the transmission interval on the basis of the characteristics of the road around the vehicle.
Application of Cumulative Axle Model To Impute Missing Traffic Data in Defect...IJERDJOURNAL
Abstract: An automatic vehicle classification (AVC) station is typically composed of three sensors per lane. Instances of data missing from the traffic datasets collected at such stations can occur as a result of issues such as one of the sensors malfunctioning. Although various data imputation methods, such as autoregressive integrated moving average (ARIMA), exponential smoothing, and interpolation, have been proposed to deal with this problem, they are either too complicated or have significant errors. This paper proposes a model, called the “cumulative axle model,” that minimizes such errors in traffic volume data resulting from a malfunctioning sensor at AVC stations. Evaluations conducted in which missing traffic volume data imputation was simulated using the proposed cumulative axle model indicate that our method has a mean absolute percentage error (MAPE) of 2.92%. This is significantly more accurate than that of conventional imputation methods, which achieve a MAPE of only 10% on average.
Deriving on-trip route choices of truck drivers by utilizing Bluetooth data,...SalilSharma26
This paper models on-trip route choices of the truck drivers. Second, we assess the inefficiencies of those routing decisions. This paper utilizes Bluetooth data, loop detector data, and variable message sign data to model the route choices of truck drivers. The trucks are inferred from Bluetooth data by applying a Gaussian mixture model-based clustering technique. We apply both a binary logit model and a mixed logit model to derive the route choices of truck drivers on a case study between the port of Rotterdam and hinterland in the Netherlands. The model results indicate truck drivers significantly value travel distance, instantaneous travel time and lane closure information en-route. The estimate of travel distance varies significantly among truck drivers. While 38 percent of truck drivers do not take the shortest time path, 48 percent of truck drivers do not choose the system-optimal path.
Using IBM Watson to construct semantic models to extract relevant point-of-ca...Paradigma Consulting
Using Named Entity Recognition technologies contained in IBM Watson products, we are building the ontology of concepts contained in the Cochrane Database of Systematic Reviews: inclusion criteria, participants, interventions, comparisons, and outcomes (PICO), risk of bias assessments, conclusions, and dates. In the future, medical researchers and practitioners will be able to navigate the resulting network using simple queries and natural language queries and access the resulting information using tablets or similar convenient systems of engagement.
PARADIGMA presented a first prototype of the ontology which has been automatically extracted from the Cochrane corpus, shared her experiences in the process of developing the ontology, and demonstrated its use in the context of search and discovery.
Teams working on complex and innovative projects require fast and easy access to a wide variety of heterogeneous data. IBM's Watson Explorer aka VIVISIMO has been used to collect and semantically enrich relevant text corpora to support an international project team
Trade Corridors and Multimodal Transport Corridors in EuropeParadigma Consulting
Trans European Networks (TEN-T) illustrate the concept of trade corridors. The Baltic-Adriatic Corridor in particular which extends to the Nordic countries as well as to the Eastern Mediterranean exemplifies the challenges and promises of such networks.
The aim of this short report is to show the usage and benefits of the ebXML architecture and
the UN/CEFACT Modelling Methodology with a real-world example: the empties supply chain.
Within GILDANET this example can be used to demonstrate an electronic document
exchange application, explain (real) interoperability and the reusability of its components. The
implementation of this application can be used to build an ebXML framework (architecture),
demonstrate the functionality, and build reusable blocks that help other customers to create
service oriented applications in the logistic sector.
Dipl.Ing. Alexander Bertsch, Statistik Austria wird in einer „Poster Präsentation“ über Ziele und Erfahrungen der Statistik Austria mit dem flächendeckenden Einsatz von SuperSTAR (SpaceTimeResearch) berichten.
Poster Presentation
234 Erfahrungen der Statistik Austria im Bereich
Dissemination/Publikation mit SuperSTAR
Statistics Austria’s deployment of self service reports
National road accident statistics have been collected and compiled in Austria since 1961. Police are documenting each accident on public roads involving casualties using paper forms.
As of Jan 2012, data describing the details of accidents will be collected electronically by the police authorities. Pre-validated data is transmitted daily to Statistics Austria using web –services. Monthly updates are published traditionally using reports as well as using SuperWEB, to allow controlled, self service access of defined users.
As part of the new collection system, new attributes and new values sets will be collected, such as details regarding the drivers license, vehicle types, description of the location ...
PARADIGMA has been commissioned by Statistics Austria to implement an automated process, integrating the daily deliveries of accident records from the Ministry of Interior, applying validation rules, compiling the cleansed authentic data and feeding the micro data in a SuperSTAR database.
In cooperation with user groups and road safety experts, a set of sample reports have been developed to enhance the accessibility of the statistics.
Benefits of the new process:
lower cost of production (data capture)
enhanced quality of the collected statistics through validity checks close to the source and seamless production process
significant reduction of efforts to produce ad hoc analyses and reports, which are more numerous in road statistics than elsewhere
partial shift of analyses workload from the NSO's statisticians to the ultimate users of the data
better prevention of road accidents through the collection of additional factors
www.paradigma.net
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
B2B payments are rapidly changing. Find out the 5 key questions you need to be asking yourself to be sure you are mastering B2B payments today. Learn more at www.BlueSnap.com.
At Techbox Square, in Singapore, we're not just creative web designers and developers, we're the driving force behind your brand identity. Contact us today.
Cracking the Workplace Discipline Code Main.pptxWorkforce Group
Cultivating and maintaining discipline within teams is a critical differentiator for successful organisations.
Forward-thinking leaders and business managers understand the impact that discipline has on organisational success. A disciplined workforce operates with clarity, focus, and a shared understanding of expectations, ultimately driving better results, optimising productivity, and facilitating seamless collaboration.
Although discipline is not a one-size-fits-all approach, it can help create a work environment that encourages personal growth and accountability rather than solely relying on punitive measures.
In this deck, you will learn the significance of workplace discipline for organisational success. You’ll also learn
• Four (4) workplace discipline methods you should consider
• The best and most practical approach to implementing workplace discipline.
• Three (3) key tips to maintain a disciplined workplace.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
Company Valuation webinar series - Tuesday, 4 June 2024FelixPerez547899
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2. Road Transport Statistics in Austria
EU Regulation 70/2012 provides a general legal and methodological
framework for the different national surveys (territoriality principle)
Stratified quarterly sample comprises 6,500 vehicles per quarter out
of a total of about 72,000 registered.
Meets quality criteria described in the regulation
Original sample size of 26000 vehicle weeks per year significantly reduced (since 2006)
Local units, operating vehicles and drawn for the sample use paper
based questionnaires or an electronic questionnaire (11% in 2009)
Efforts to complete the questionnaire have been reduced.
27.3 minutes on average to complete a questionnaire
150 work weeks per annum for the Austrian economy …
Main task for completing the questionnaires consists of collecting and
preparing the information within their companies.
Page 2
3. Current situation
Quality concerns regarding road transport data
Limited relevance of data for Austria’s traffic & transport planners
due to sample errors on county or smaller traffic cell levels
Insufficient precision of reported tonne-km
as a result of automated imputation of the distance travelled between origin and destination of a
journey using distance matrices, ignoring potential detours in between.
Possible over-estimation of empty trips
assuming that distances between places of unloading and subsequent places of loading are empty
trips
Assumed under reporting of trips
respondents assumed to minimize efforts, and report a vehicle to be out-of-order during the sample
week.
Limited accuracy of cargo types i
Respondents have limited information regarding cargo moved („mixed cargo“)
Assignment of goods to NST/R classification by respondents leads to incoherent results
Page 3
4. Consortium
Gebrüder Weiss GmbH
Petschl Transporte Österreich GmbH & Co KG
Process knowledge and experience of transport companies
Paradigma Unternehmensberatung GmbH
Austrian Institute of Technology – Department Mobility
Technology, data management und electronic data exchange
Wirtschaftsuniversität Wien – Inst. f. Transportwirtschaft und Logistik
Methods and legal environment of road freight statistics in Europe
Page 4
5. Goals and Results of the Project
Project Goals
Further reduction of the
respondents efforts through
automation
Return to a larger sample to meet
national requirements
Increase of data quality and
actuality
Reduction of required ressources for
preparation and processing of the
data
Page 5
Project deliverables
Prototypic and fully functional
implementation of the connection
between data (from companies) to
the XML-Interface
Test the applicability of automatic
data collection technologies and
algorithms to obtain precise
measurements.
Legal, economic and methodical
evaluation of the results with
respect to the road freight transport
statistic
6. Research Objectives
Prove the technical feasibility
building such a working prototype
develop a sufficiently generic standard interface
Assess the organizational impact on the respondents
obtain empirical information on the benefits as well as potential issues
Use information about goods from transport booking data, to infer
cargo types (NST/R)
Train a Bayes algorithm, part of the KNIME data mining software to classify goods using free text
Use GPS location to measure distances travelled and to infer
load/unload events.
Obtain route information from GPS readings – infer events and compare with order information
Obtain experience with the technical and economic challenges to
implement the standard interface
industry software as well as individually developed software
7. International coordination
Identify similar European initiatives
Identification of similar projects in Europe
Learn from experience and best practice
Implications of easier data exchange for survey design and sampling
EUROSTAT
International harmonization of electronic data exchange
Potential requirements for national RF surveys (data collection)
Standards and architectures
Software providers (ERP, TMS)
Statistical microdata exporter as standard software component
Economies of scale targeting the EU marketplace
Talks with SAP, Navision, TransIT, Sauer, …
Page 7
8. International responses
EUROSTAT: Joint approach of data collection
Metadata – enrichment as early as possible
Joint, comparable Method (for consolidation)
Collection of fuel use (CO²-emission)
CBS (NL) is a guide for InnoRFDat-X
Sustains good contacts with SW-industry for realisation of XML-based
reports
Uses algorithms for ease of input (goods classification, route
validation)
Experiences of the Ministère du Développement Durable (FR)
Hesitant Respondents
Heavily fragmented company landscape with litte IT use
No strategy for integration of SW-industry
Page 8
9. International responses
Trafik Analys (Sweden)
At the moment with traditional questionnaires only with manual
recording
Interested in InnoRFDat-X approach
Kraftfahrt-Bundesamt Flensburg (Germany)
Survey: Increasing use of standardised software but lack of citical
mass of one provider
Search for alternative data sources for groups of goods, origin &
destination
Danske Statistik (Denmark)
Legal requirement to replace paper as used medium by the end of
2012 -> Web-questionnaire with manual input
Attempts on using TMS/ERP-data
Page 9
10. Target Solution Architecture
Data interfaces are in the public
domain and provided to the
Software- and System developers
Completion of missing data and
corrections are performed by the
respondent
Different information entities are
consolidated according to the data
model specifications and business
logic
Based on the transfer-format the
specific required structure for the
respective country questionaire is
generated
11. Stakeholders & expected benefits
Respondents
Carriers
Freight Forwarders
Companies with own fleet
Users
Public sector decision
makers
Interest groups
General public
Increase of data quality
Producers
National Statistics
Institutes
Ministries of Transportation
Page 11
Reduce cost
Lower production cost
No need to collect data manually
Reduction of paper-based work
No follow-up calls from NSI‘s
Increased accuracy
Increased coverage
Less correction, completion efforts
Reduce, eliminate paper based work
12. Information elements collected
4 XML-based interface specifications are provided
FleetMasterData
FleetStatusData
ConsignmentData
PositionData
Data on lorries
and trailers
(capacity, axles,
odometer, age,
license, etc.)
Information on
specific lorries at
certain times
(driven distance,
fuel usage, etc.)
order related
data containing
information on
goods, packaging,
origin and
destination …
GPS readings,
country/ZIP
codes, activity
(loading, border
crossing)
Page 12
13. The information model
0 or more journeys performed during the observation
period per vehicle can be reported.
0 to 3 trailers per journey can likewise be reported as
well as 0 or more different shipments per journey.
0 or more combined
transports per journey
can be reported.
class PIM Ov erv iew
query
response
0 or more transit countries
(international journeys) per
journey can be reported
(not shown in the diagram).
query::j ourney::
combinedTransport
query::j ourney::shipment::commodity::
dangerous
1
0..*
1..*
query::motorVehicleNotification
query::j ourney
0..*
0..*
1..*
1
0 or more shipments per
journey may be reported;
each shipment can be associated with 0 or more
containers.
query::motorVehicle
A shipment can comprise 1 or more commodities; each
commodity can be classified to be a dangerous good if
applicable.
0..1
0..3
query::j ourney::
trailer
query::j ourney::
shipment
0..2
query::j ourney::
shipment::container
query::j ourney::
1..* shipment::commodity
14. Data Collection Service
Protoytped process deployed to move data from IT systems to eQuest
eQuest
Webapplication
API
ERP/
TSM
Insert your own text here
Questionnaires as XML files are generated by
the eQuest system run by Statistics Austria.
These Questionnaires contain the selection
criterias for the data export.
Database
Access
Data
export
Selection
criteria
XMLQuestionnaire
Exported
XML data
The data export extracts the information out
of the ERP/TMS-systems and saves them as
XML-files (4 predefined formats).
These files are uploaded to the „SGVSKonsole“ web-application.
The respondent can now revise the data.
Web application
„SGVS Console“
Questionnaire
with data
The web-application generates a „completed
questionnaire“ and uploads this to the eQuest
system.
In the eQuest system the report is finished.
Page 14
17. Validation Rules (Excerpt)
Every lorry or articulated vehicle mentioned in the NSI’s
questionnaire must have an entry in the company’s fleet
management system.
Odometer readings at the beginning and the end of the reporting
period must be available, where the latter has to be greater or equal
than the former. If multiple odometer readings are available over
time, the sequence of readings must be non-decreasing.
Every shipment must have been allocated to one or more sections of
a journey.
If events and activities such as load, unload are reported or inferred
from the position data (see below), corresponding sections of
journey’s have to be reported as well.
Reported sections and journeys of a given vehicle must not overlap
18. Automatic classification of goods
Official
statistics
In compliance with national regulations all transported goods are
classified by the NST/R
Respondents
Hauliers and forwarding agents often use free text in their operative
data. (i.e. 10 ldm bathtubs, granite, etc.)
Assignment to NST/R classification is conducted manually.
Experiences
Assignment of goods to NST/R classification through respondents
leads to incoherent results (DE)
Hauliers provide free texts, classification is done by NSO (NL)
InnoRFDat-X
Development of a model for automatic classification according to
NST/R categories for all free texts.
Page 18
19. Automatic classification - experiences
Based on an algorithm trained on classification texts and applied to a sample of
1000 cargo descriptions from transport orders
Correct categorization
Expect improvements
when trained using
respondents texts
Autoteile , Coils Stahl und Blech
Bleche
Bleche max .
Bleche Überbreite
Coils
kompl . Profile
Leitschienen
nahtlose Stahlrohre
Profile
Profile 12,2 m
Profile lt . Beilage
Rohre
Sonderfahrt , Profile
Stabstahl
Stahl
Stahl ( S320GD+Z275MB) , 2 Coil
Stahl Rohre
Stahl Vg . 1/7
Stahlbleche
Page 19
Insufficiently discriminating
Imprecisions
Pervasive use of product
codes in one case;
Find a balance between
„rote learning“ and the
capability to correctly
classify new descriptions
Transport provider has
insufficient information
(„45 parcels“)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
5 - Eisen, Stahl und NE-Metalle (einschl. Halbzeug)
20. Summary
Model deployed is capable to automatically classify cargo
Sufficient precision achieved after training with respondent specific
datasets
Less effort required from the respondents
Quality improvements as a consequence of consistent classification
Implementation aspects
Improve „training phase“ using both descriptions and preclassifications of a sample of respondents
Encourage consigners to provide more descriptive data of their goods
Provide functions to manually override misclassifications
Page 20
21. Route & Event Detection
Protoytped process deployed to generate trips using GPS data
Objective
•Timestamp
•GPS-Coordinates
Speed gradient
Geographic change
Detect Stops
Loading
point
order info:
(ZIP-Code)
Spatial distance
•Stop-Position
•Stop-Duration
Mandatory rest period
Distance to
point of loading
Classify Stops
Distance to
motorway services, etc.
Resting stop
Page 21
Loading stop
Position data file containing
the geographic details of
every tour where
a tour starts with the
loading of an empty lorry
ends with the unloading
of the last cargo
Two-Step Heuristics applied
First to detect all stops
in the data file
Second to eliminate nonloading/unloading stops
22. Route & Event Detection: Prototype
Implementation architecture
Implementation
GPS data input (via ad hoc
XML file)
Consignment data input using
interface definition
Linkage between GPS Data
and consignment data via
postcodes (geoname.org)
Result fed into the
Position.Data interface
definition
Page 22
23. Event detection performance
Heuristics gave
100% Recall but
only 28% Precision
Heuristics + Order
details (ZIP-Codes)
gave 100% Recall
and 85% Precision
24.
25. Live Test Run Experiences / Feedback
Use of unfamiliar terms which did not always
correspond with specific business practices
Usability problems with handling the web-service
prototype (method to complex)
Interface was tested successfully and is usable
Inconsistencies and errors in the application were
corrected
Journeys could be reconstructed based on position data
and associated with certain orders
Automatic classification of transported goods possible
Page 25
26. TMS Software penetration in Austria
12
Methodology
32
40
14
Contacts to 55 larger companies,
o.w. 29 responded and provided
information
Significant proportion has
outsourced transport
14
15
Respondents represented 7,3 % of all
trucks registered in Austria (SGVS
2007, Q4)
5.230 / 72.000 = 7,3 %
Sauer
Hypersoft, -sped
Helpten
C-Logistic
Page 26
Bespoke SW
No TMS
COSware
Transporeon (?)
27. Lessons learned
The collection and use of operational available at transport
companies to produce road traffic statistics is feasible
Standardized interfaces can be cost-effectively implemented
Research implications
A large set of position data should reveal patterns of loading/unloading
locations to better determine between rest and load/unload stops
Respondent specific training sets is expected to increase the precision of
goods classification
Generation of data from ERP/TMS-system would allow for continuous reporting
of transport activities.
Recommended changes to the legal framework
New regulations to mandate the collection and production methodologies
Development towards a mode-integrative approach
Obligation/encouragement of NSI‘s to utilize available technologies for the
collection of raw data
28. The way forward
Solution is not restricted to the Austria territory.
The choice of application architecture and scope has been guided by the
vision of a European rather than only a national application.
A Europe wide adoption of our methodology is expected to
significantly increase both quality as well as the quantity of the data
collected by the member states.
applicability of transport statistics all over Europe will be enhanced
comparability of transport statistics across countries will be improved.
Piloted process has shown the potential to substantially reduce the
administrative burden on reporting companies
It is also expected to further raise the efficiency in the statistical
production process leading to cost reductions and time savings.