In this chapter practical examples from Germany are used to show how the procedures of BIM according to ISO 19650 are applied for the systematic acquisition and provision of pavement condition data.
The ISO 19650 standard is written in a very general and partly abstract way. This is to ensure that the rules and best practices for information management can be applied as widely as possible. For practical application, however, adaptation to the specific features of the respective type of infrastructure is essential. Only then could practical benefits be derived from the application of the standard. Such adaptations and "translations" of the general rules, which are often formulated abstractly in the standard, into the "language" of the respective professional discipline are necessary in order to exploit the benefits of the ISO 19650 standard for the respective professional discipline.
At this point, it is important to emphasize that BIM, as interpreted by the ISO 19650 standard, is primarily focused on the acquisition and exchange of information relating to construction objects. Professional aspects such as design techniques or construction technologies are of course always important, but only to describe the general framework within which information management is performed. Furthermore, it must be clearly stressed that information management (like any management) is always situated in an organizational context. The goals of the respective organization, in this case the owner or operator of the road infrastructure, and the strategies and tasks derived from these goals determine the framework in which information management is practiced. For this reason, this chapter always refers to the respective general framework that determines the organization's actions, i.e., the organizational or professional context. This is to show that different solutions may be optimal in different circumstances.
In all construction activities, on the one hand physical objects are created or changed (e.g., structures are modernized) and, on the other hand, information is generated and exchanged that is necessary for the target-oriented execution of these construction activities. This information is essential for the operator, both during the construction phase and especially after commissioning of the completed construction object.
While the requirements for the technical tasks are formulated in the relevant professional standards, the BIM standard ISO 19650 formulates requirements for information management to achieve the goals of the construction project and to support its subsequent operation. The application of ISO 19650 is particularly useful in the case of multiple project participants. Experience shows that good information management has a positive effect on the efficiency of the actual project activities on the one hand, and on the other hand enables a smooth transition from the project phase to the operational phase after completion of the construction work.
Projects in which information management plays a key role include projects for the network-wide monitoring and evaluation, such as pavement condition data. Therefore, the execution of the projects for the pavement condition acquisition in accordance with ISO 19650 provides many benefits.
The German System for the monitoring and assessment of pavement condition ZEB (German abbreviation from Zustandserfassung und -bewertung) is based on the same established management rules as the British Standards series BS 1192:2007 (BS 2007). This standard was prepared with the aim of spreading digitalization to the entire construction industry. It was the first introduction of the then pioneering idea of a Common Data Environment (CDE). Since then, the CDE approach has been one of the most important features of all BIM-oriented construction projects.
Immediately after the publication of the British standard BS 1192, some of the ideas presented there were examined and validated in Germany with the aim of applying them in the framework of ZEB. In the same year of its publication (2007), the CDE concept was put into practice in a first pilot project for ZEB on state roads in Baden-Württemberg. Further BIM solutions were also successively adopted in the ZEB.
The most important principle of any information management in the organization is to acquire and manage data to the scope and quality required to support organizational goals. An abstract striving for the best quality of information without considering the current and planned scope of application contradicts not only the principles of modern Asset Management, but also elementary principles of economy.
When developing an information management strategy, it is therefore of fundamental importance to first identify the objectives and the resulting activities and tasks. Based on this, requirements must be defined for the information that contributes optimally to supporting these tasks and thus indirectly to achieving the company's goals (see Figure 4.3.7.3.1).
Figure 4.3.7.3.1 Requirements for the information are derived from the respective tasks
The organization's strategy for streamlined information management and the derivation of information requirements from the organization's goals, strategies, and plans are captured in the key BIM document, referred to in the ISO 19650 standard as Organizational Information Requirements (OIR).
Information about infrastructure represents a valuable asset and should be treated like other assets. The quality standard for the acquisition, evaluation and management of information should therefore be determined according to general economic principles. This involves comparing the benefits of using the information in the decision-making process with the costs of obtaining the information. The methodological basis for such consideration is provided by the discipline of Infonomics (Laney, 2017).
In this chapter, the terms "data" and "information" are often used interchangeably, although information management sees a clear difference. Data are the direct result of measurement or other survey and contain, for example, the elevation points of a roughness profile at 10cm intervals. They are often referred to as "raw data". By specific assessments, such raw data can be used to determine e.g. the IRI (International Roughness Index) for longer sections (e.g. of 100m), which are already considered as information, since these values can be used in decision-making processes. However, as long as the integration of the information into decision-making processes is hampered, e.g. because the access to the information is restricted or the form of presentation does not meet the expectations of the addressees, the benefit of such information is low or non-existent. Only when the information flows into decision-making processes and can have a positive impact on the goals of the organization will it reach the highest "evolutionary level", namely knowledge (see the so-called Knowledge Pyramid in Figure 4.3.7.3.2).
Figure 4.3.7.3.2 Knowledge Pyramid
For pragmatic reasons and also because of the technical terms already established in the road sector, the term "condition data" is usually used here, even when it is clearly "condition information".
Pavement condition data is used at all levels of Road Asset Management. Some selected applications of pavement condition data at the strategic, tactical, and operational management levels of road maintenance management are listed below.
Strategic management level:
• Determining medium and long-term maintenance needs in order to achieve specific quality objectives (measured by pavement condition),
• Ensuring horizontal (between sub-networks) and vertical (between sub-networks of different road classes) network consistency in the medium and long term, thus ensuring equivalent traffic performance in the overall network of the operators,
• Analyses of the performance (robustness) of construction technologies and materials based on the monitoring of the evolution of pavement conditions in the respective networks or sub-networks,
• Identification of Key Performance Indicators (KPI) for planning purposes and for the owner's bodies,
• …
Tactical management level:
• Allocation of maintenance funds to regional authorities to meet political and socio-economic demands and to achieve the desired level of disparity,
• Development of the short- and medium-term maintenance programs (localization of the maintenance measures) within the available budget,
• Controlling of the maintenance programs,
• …
Operational management level:
• Identification of the sources of damages,
• Determination of the appropriate type of measures for the planned maintenance programs,
• Early detection of unfavorable condition development,
• …
However, the pavement condition data is also used for numerous other tasks that go far beyond maintenance management. These include, for example, traffic safety analysis, including the calculation of safety potentials and support for safety audits. Geometry data, such as longitudinal slope and curvature, collected over a wide area during the pavement condition monitoring process are used for network-wide traffic engineering and economic analyses. In addition, route images routinely created during condition surveys are used for a variety of tasks, including for inventory purposes.
To ensure that the pavement condition data is suitable for the above-mentioned applications, it must permanently meet certain requirements.
The following three roles are always foreseen among the actors in the pavement condition monitoring and evaluation projects:
The most important requirements for the system for monitoring the pavement condition data include (Heller, 2011):
Standardization of data and processes
All processes of data monitoring and assessment must be kept stable over a longer period of time in order to ensure one of the most important requirements, namely the comparability of the condition data over time. This comparability over time is crucial, among other things, for the generation of prognosis models. At the same time, it must also be possible to compare the data between the administrations (between the sub-networks). Such spatial comparability is, in turn, a prerequisite for achieving the envisaged network consistency, which is an important strategic goal from the perspective of a road network owner's. Since pavement condition has a significant impact on driving comfort and safety, it is considered an important factor for this network consistency. In addition, the quality of the condition data must be ensured according to clear and standardized criteria in order to guarantee the comparability of the results of the pavement condition studies.
These requirements can only be met if the entire process for monitoring and assessment of the pavement condition data is standardized. In Germany, the ZTV-ZEB-StB (FGSV, 2006) represent such a standard.
Task-neutral monitoring and task-oriented assessment of pavement condition data
The ultimate result of the pavement condition monitoring is georeferenced raw data, so-called GEO raw data, in high resolution. They are delivered in files in defined and documented formats. Figure 4.3.7.5.1 shows a section of a GEO raw data file with longitudinal evenness data. The GEO raw data also includes the georeferenced route images as well as the high-resolution surface images, which provide the basis for the manual or automatic detection of surface properties in the later assessment phase.
Figure 4.3.7.5.1 Fragment of a GEO raw data file with longitudinal evenness data
In GEO raw data, the entire data stream is typically referenced every 10 meters to a point whose location is uniquely determined by geographic coordinates.
For practical purposes, these GEO raw data must be assigned onto the network, i.e. onto the linear referencing system. Because the projection is done on the road axis and because of the inaccuracies in the recording of the coordinates, the raw data stream must be stretched or compressed accordingly. Since different methods can be used, the process of data projection is standardized and a freeware standard software (GEO-ROH-RASTER) is provided for these purposes by the federal authorities BASt (German Federal Highway Research Institute).
The GEO raw data projected onto the road network are aggregated in the data segments of an evaluation raster. One data segment of the raster corresponds to the ZEB evaluation sections of 100m in non-urban areas and 20m in urban crossings and is uniquely localized by means of the kilometers of the beginning and the end as well as by the indication of the traffic lane. All localization information must correspond to the current network model in the Asset Information Model (AIM).
The RASTER raw data generated in this way provided the basis for the computation of the pavement condition quantities and values, as well as for the visualization of the raw data, as shown on Figure 4.3.7.5.2.
Figure 4.3.7.5.2 Example of a profile with RASTER raw data for the purposes of the operational tasks
Figure 4.3.7.5.3 schematically illustrates the process of projecting GEO raw data onto the geometry model of the network to create the RASTER raw data.
The GEO raw data is the basis for further assessments:
Figure 4.3.7.5.4 shows the major standardized assessment steps of the pavement data.
Figure 4.3.7.5.4 Standardized assessment steps of the pavement condition data
If, due to new research insights, the algorithms for determining the condition parameters change or new or alternative characteristics are defined, it is always possible to assess the historical GEO raw data from the previous ZEB projects according to the new algorithms and thus validate the object- and network-related consequences of such modifications.
The raw data also provide the basis for a wide range of applications, including those that were not known at the time of the survey. This high degree of flexibility is achieved by making the monitoring process somewhat 'task neutral', by giving the raw data the status of an ultimate data source and by standardizing its format.
In this way, the raw data can be used as a basis for further assessments that go over and above maintenance planning. For example, skid resistance data aggregated to 100m are of limited value for object-based analyses of traffic safety. Therefore, the indicators are calculated based on the moving average of 1-m measurement results, which are then linked to geometry data such as curvature. This allows areas with road safety gaps to be identified much more accurately and targeted.
In the meantime, there are also numerous other applications for the pavement condition data beyond road administration that benefit from the availability of the raw data, e.g. in the automotive industry. Even the route images recorded as part of ZEB, which were originally used only to check the plausibility of the condition data, are now being applied massively for various other purposes. The fact that these images are available network-wide in the same resolution and the required quality makes them a good basis for comprehensive photogrammetric assessments.
Efficient providing of the condition data and assessment results
As mentioned above, the real value of condition data and information is determined by their impact on specific decision-making processes . Providing the condition data in a suitable aggregation level and presenting or visualizing it in a suitable form are therefore of fundamental importance. As a result of ZEB, statistical assessments and visualizations in the form of diagrams, maps and profiles are thus provided in addition to the pure condition data (raw data, condition quantities and condition values as well as road or surface images). The raw data are also presented in a corresponding form on so-called raw data profiles (see Figure 4.3.7.5.2).
Since the spread of online technologies, it is expected that all relevant data and results are also available online for authorized users.
Sustainability
The described ZEB procedure was first introduced by the federal government in the early 1990s for the federal motorways. In the meantime, it is used by all German federal states and by many counties and cities. Even though the scope and procedure of the evaluation procedures are often adapted to the local circumstances in the individual federal states or counties, which is made possible by the principle of task-based assessment, the general approach of ZEB must remain unchanged over the years.
In order to ensure the long-term comparability of the results despite the shareholding of different actors, the BASt has commissioned the development of special software for all relevant evaluation steps, which is made available free of charge to all companies involved in ZEB projects. The software is continuously maintained and kept up to date.
All pavement condition data and information are affected by a life cycle. They are either in the phase of acquisition, i.e. monitoring and assessment within the framework of a ZEB project, or in the phase of utilization or application.
These two phases of the life cycle of the condition data are closely related to the life cycle of the road infrastructure. In accordance with the terminology of the ISO 19650 standard, the two phases mentioned above can be referred to as the delivery phase (providing the condition data for use in the operational phase) and the operational phase.
The data model of condition data at the delivery phase is called in ISO 19650 the Project Information Model (PIM). In the subsequent operational phase, the condition data are part of the digital model of the entire road infrastructure, i.e. the Asset Information Model (AIM).
Since the pavement condition changes continuously, the condition data must also be updated periodically (see Figure 4.3.7.6.1). The distinctive events (according to the ISO 19650 standard), such as the transition from the operational phase to the delivery phase (B), are also shown in this figure. The index indicates which ZEB project is concerned. The explanations of these distinctive events can be found in the further part of the present document.
As a rule, the ZEB project is repeated every 4 years. During the delivery phase (ZEB project), the current condition data from the road infrastructure Asset Information Model are still used. Directly after, the updated condition data is transferred to the Asset Information Model and the previous condition data is historicized for use in analyzing condition changes.
Figure 4.3.7.6.1 Life cycles of the pavement condition data (the distinctive events A-E are explained in Figure 4.3.7.6.2)
This permanent change between the phases of delivering and operating is represented in ISO 19650 as a control loop of information (see Figure 4.3.7.6.2). The distinctive events (based on ISO 2018) / activities (A to E) are described below.
Figure 4.3.7.6.2 General representation of the control loop of information with distinctive events (based on ISO 2018)
A - Applications of the condition data during the operating phase
In the operational phase, the network-wide condition data are used for numerous tasks at all decision-making levels. Some examples of such tasks are given in Chapter 4.3.7.4. In most cases, the condition data integrated in the digital model of the network, i.e., the Asset Information Model (AIM), is used. However, some special applications require raw data or special indicators that are not available in the AIM. In such cases, appropriate professional systems are used.
B - Transition from the operational phase to the delivery phase
Event (trigger) "B" in the control loop of condition information refers to the initialization of a ZEB project. The client (usually the operator of the road network) formulates the requirements for the results of the pavement condition monitoring and assessment. These requirements cover the formats of the GEO raw data as well as the formats of the result files and the files with images. In ISO 19650, these requirements are referred to as Asset Information Requirements (AIR). Meeting these requirements ensures that updated condition data can be imported directly into the operator's Asset Information Model after finishing the ZEB project.
In addition, requirements are formulated for the entire monitoring process, for quality control, for data exchange between the actors, and for data provision, including deadlines for all milestones scheduled in the project. These requirements are referred to in ISO 19650 as Exchange Information Requirements (EIR).
Both groups of requirements, i.e. Asset Information Requirements and Exchange Information Requirements, are components of the tender documents.
Within the framework of a tendering procedure, the client selects one or more contractors to be commissioned with monitoring (data collector) and one consultant, who is independent of the data collectors. The consultant's tasks correspond to those of the BIM coordinator, but go beyond this and extend to professional activities.
One of the consultant's tasks is to set up and operate an IT system that serves as a Common Data Environment (CDE) on the one hand and is equipped with advanced modules for assessment and other analysis on the other. The general requirements for the functionality of the CDE in all phases of the ZEB project are formulated in the respective tender documents. They comply with ISO 19650's BIM Implementation Plan (BIP).
In addition to the classic tasks of a BIM coordinator, the consultant has to fulfill a number of professional tasks, which are particularly related to quality management. These tasks include, among others:
C - Production and exchange of information during the ZEB project phase
The ZEB project is characterized by a very high level of complexity. Large amounts of data and information are exchanged between the involved actors and along the interfaces between the realization phases. Any disturbances in this exchange of information at these interfaces would have a negative impact on the efficiency of the entire ZEB project and cause delays in the delivery of condition data, which in turn would have a negative impact on the routine tasks of the operators and owners.
For this reason, the client formulates strict requirements in the document - EIR (Exchange Information Requirements) for meeting the deadlines for the individual milestones and for the quality of the data and results. The three objectives are followed:
Although the ZEB projects have already been implemented for several years using the same procedures and one might think that they have therefore reached routine status, the complexity of the project and the numerous risks indicate that a high degree of flexibility is also required in the design of the entire approach.
The prerequisite for meeting these demanding requirements for ZEB projects is the support of professionally qualified staff that understands the requirements of the client and acts accordingly, as well as the implementation and operation of an IT system with the CDE functionality and with other features for solving specialized tasks. The Customer formulates the requirements for the functionality of such IT system that will be applied throughout the project phase.
The OnKo system is used as the CDE platform for the ZEB in almost all ZEB projects in Germany. Since its first deployment in 2007, the CDE/OnKo platform has been used in ZEB-projects in Germany and abroad, managing condition data on a coverage length of more than 700 thousand lane kilometers only on federal highways and state roads.
D - Transition from the ZEB project phase to the operational phase
The ZEB project ends with the handover of all contractually agreed delivery objects, i.e. the GEO raw data files, the RASTER raw data files, the results files, the files with route and surface images as well as the documentation and visualization of the results by the consultant to the client. The amount of data is considerable. For example, a ZEB project for state roads in Baden-Württemberg in 2020 generates more than 8 terabytes of data.
E - Transfer of ZEB results into the Asset Information Model
Most of the digital models of the road infrastructure (Asset Information Model) of the federal states in Germany are limited to the management of aggregated data, i.e. the condition quantities and values for the individual evaluation sections (100m/20m). Often the road images are also included. The raw data are usually not included in these models.
Deviating from such approach, some federal states, including Baden-Württemberg, have decided to use the CDE/OnKo - platform not only during the ZEB project, but also after its completion as a supplement to the digital model of the road infrastructure (Asset Information Model). So OnKo takes on another role, no longer as a CDE - platform, which it played during the ZEB project, but as a specialized system for the assessment and providing of pavement condition data.
The GEO raw data managed on the OnKo platform meet the requirement: "Single Source of Information" and thus, as a continuation of the CDE in the ZEB project, represent the original source for all pavement condition indicators generated from the GEO raw data, in particular condition quantity and condition values. OnKo is also equipped with a WFS (Web Feature Services) to integrate the condition data and images into third-party applications. The geographic layers with the condition classes can be integrated into external GIS applications using WMS (Web Map Services).
Furthermore, OnKo has the functionality to project condition data from previous ZEB projects onto the current road network and thus realize so-called dynamic data evaluations. Figure 4.3.7.6.3 shows an example of such an assessment of the dynamics of pavement condition.
Figure 4.3.7.6.3 Example of professional analysis of pavement condition dynamics with OnKo-System (here: condition on a upgraded road section)
Although ZEB projects have been regularly performed in the area of federal trunk roads since 1992, and a few years later in the area of state roads as well, it took several years to establish a uniform IT solution to support these projects. This was triggered by the idea of a Common Data Environment presented in the British Standard BS 1192 in 2007. In the same year, the idea of a Common Data Environment as a platform for the exchange of information was realized using software within the framework of a ZEB project for the state roads in Baden-Württemberg and implemented throughout the entire network.
This data and information platform is used for the exchange of information and furthermore for the maintenance, quality control and assessment of the ZEB data in all its four "evolutionary stages": Work in Progress, Shared, Published and Archive (see Figure 4.3.7.7.1 (based on BS, 2007)).
Figure 4.3.7.7.1 The "evolutionary stages" of information on CDE (based on (BS, 2007))
CDE/OnKo is also provided with functions for interactive and synchronized visualization of the pavement condition data. This enables the authorized stakeholders, especially the client and the consultant's team, to perform a complex control of the collected raw GEO data at the stage: Work in Progress and especially after their verification and aggregation at the stage Shared. For this purpose, a special visualization of both, the raw data and images was made available online, so that the client's on-site could also contribute to a better control of the data with their knowledge of the local circumstances. Their comments, especially the critical ones that could be entered online in fields provided for this purpose, contribute to the successive building of a knowledge base for the engineering assessment of the interpretation of the surface properties.
Currently, the CDE/OnKo platform is equipped with all the functions that support the consultant in all his specialized tasks, including the procedures for quality control and complex assessment and visualizations.
In the following, the main functions of the CDE/OnKo platform in the ZEB projects are listed.
Archive and knowledge base
On the CDE/OnKo platform, all relevant documents for the subject area of ZEB as well as for the respective ZEB project are made available. This includes, among others, tender documents, rules and regulations and other documents with the status archive.
Documentation of the recording scope
The client determines the scope of ZEB monitoring (so-called ZEB basic data) by specifying the location of the road sections and lanes to be monitored. Since the client may at any time specify deviating regulations or special treatment of individual route sections, his decisions will be communicated to the consultant and documented by him accordingly.
The information on the monitoring order is uploaded to the CDE/OnKo platform and is available for download by the data collectors in the form of lists of relevant route sections, maps and road profiles.
Ongoing control of the monitoring progress
The data collectors are obliged to report at specific time intervals, usually weekly, on which sections data were collected during this period and which parts of the network could not be surveyed for specific reasons (e.g. due to construction sites or other disruptions).
Such information about monitoring progress is stored on the CDE platform, automatically assessed and presented online for the customer in the form of maps and statistics. This type of progress monitoring is considered an essential element of risk management and fulfills the function of an "early warning system" for the case that the data collector's performance should be hindered.
Assessment of the control measurements
The client has the to let third parties perform the control measurements on certain routes of his choice. The decision on which routes the control measurements are to be performed is the sole responsibility of the client. Sections that have already been recorded as part of the regular monitoring, as can be seen from the monitoring progress, come into consideration.
The results of the regular monitoring and those of the control measurements are imported as GEO raw data into the CDE/OnKo platform and compared by the consultant on the basis of the criteria and tolerance values specified in the ZTV-ZEB-StB. Afterwards, the consultant creates the standardized check report. In case of deviations over the tolerance values, the client takes appropriate decisions to ensure the reliability of the ZEB results.
Data control on the intermediate deadlines and on the final deadline
The data collectors are obliged to transfer the recorded and quality-assured results of the condition monitoring as GEO raw data as well as files with images to the CDE/OnKo platform for the purpose of complex verification at specific deadlines. Alternatively, in the case of larger data volumes, the GEO raw data and in particular the image files can be transmitted to the consultant on a data storage medium and he then imports them onto the CDE/OnKo platform. The client usually orders one or two intermediate deadlines. These correspond, for example, to 20% and 60% of the planned scope of data capture. The interim deadline at the beginning of ZEB (20%) serves as a further element of the "early warning system" to identify risks to the ZEB project in time and minimize their consequences.
The data control includes 2 main steps: the technical and the functional control.
The technical control involves the automatic checking of the formal IT requirements for the formats of the files with GEO raw data and for their required contents. The route images and the surface images are also checked according to the predefined criteria. If the files do not meet the predefined control criteria, the data collectors are requested to correct them and deliver again.
After the positive outcome of the technical control, the prerequisites are given to perform an automatic assessment and to aggregate the GEO raw data to the longer evaluation sections. Subsequently, the raw data and the determined condition quantities and values are visualized for the purposes of the functional (specialist) control. The functional control to achieve the stage shared will be performed by the consultant's staff on the terminal equipment of the CDE/OnKo - platform. In addition, the client's staff has access to the visualization functions and, thanks to their local knowledge, can contribute to the control of the data and, above all, to the interpretation of the damage images. The functionality to visualize the condition data in the Share - stage also by third parties (not only by the consultant) for control purposes was already part of the functionality of the CDE/OnKo platform in the first year of the application (2007) (see Figure 4.3.7.7.2 and Figure 4.3.7.7.3).
Figure 4.3.7.7.2 First CED/OnKo application in 2007 for state roads in Baden-Württemberg
Figure 4.3.7.7.3 Examples of visual data control on the CDE/OnKo platform in 2020 for state roads in Baden-Württemberg
Assessment of pavement condition, statistical analysis and visualization
After the functional control of the data has been positively completed, the final assessment, statistical analysis and visualization of the data on maps and road profiles is performed (see the corresponding examples in Figure 4.3.7.7.4, Figure 4.3.7.7.5, Figure 4.3.7.7.6). The condition data then receive the status: published and can already be used for further, task-related assessments by the client (operator). The CDE/OnKo platform is equipped with all the necessary functions to realize these analytical assessments and visualizations automatically. The results are then made available in the required formats on the CDE/OnKo - platform for downloading by authorized parties, especially the operator's staff. The condition data in the Published status are considered as final results of the respective ZEB project.
The operator (client of the ZEB project) then decides which results of the entire ZEB project are transferred directly into the respective road information database (Asset Information Model) and are awarded the status archive. The verification of the ZEB results by the operator and their transfer into the Asset Information Model can be done outside the CDE/OnKo platform or by using the corresponding functionality of CDE/OnKo.
Figure 4.3.7.7.4 Example of statistical assessments
Figure 4.3.7.7.5 Example of a profile of condition values and condition classes
Figure 4.3.7.7.6 Example of a map with condition classes
The German ZEB is an example of the practical implementation of the general BIM approach described in the BS 1192:2007 and ISO 19650:2018 standards for monitoring and managing road infrastructure data. Both the general information management requirements formulated in these regulations (e.g., deriving the requirements for condition data from the organizational goals of the operator) and technical solutions (such as CDE) are used here.
This also follows an important principle of digitalization that is highlighted in several places in ISO 19650, namely an approach that is as broad as possible and not limited to large projects. It is namely expected that the solutions applied always correspond to the dimensions of the respective project. Considering this basic principle, scaling both the ZEB process and the data management requirements is not only possible, but necessary. Thus, the CDE/OnKo solution could be successfully applied for large projects on federal highways with over 30,000 lines-km as well as for small and micro projects on county, municipality or concession level with a length of a few hundred kilometers.
The high flexibility of the ZEB approach due to the central position of the GEO raw data and the simultaneously flexible and service-oriented architecture of the CDE/OnKo platform made it possible to implement this platform into the IT environment of the existing database systems of different operators after completion of the ZEB project. Thus, CDE/OnKo could be used as a platform for the intersection and visualization of condition data in the combination of inventory, traffic, measures and other data not only in Baden-Württemberg, but also by road infrastructure operators in other countries such as Austria (ASFINAG), Portugal (Infraestructuras de Portugal) or China (JSTI).
One of the principles of modern asset management is the need to continuously validate the technology and, above all, to verify that it is in line with the current objectives and strategies of the operator's organization. This, and also the need to reflect the current state of the art, results in the requirement to continuously improve the respective solution, even if it is working error-free at the moment. This is only possible in close and cooperative partnership with the client (operator), who is responsible for implementing the operating strategy.