Trends in Non-Urban Traffic Control Engineering
The wide variety of Sitraffic products is being continuously developed so that it corresponds to state of the art. In pursuing development, Siemens promotes innovation and pioneering trends and develops novel solutions and technologies. It goes without saying that existing systems can be combined with, and benefit from, these new developments.
Parking Guidance for Trucks
The continuing growth of goods traffic has in some instances led to considerable shortages of appropriate parking spaces on freeway rest areas.
Critical availability of parking space
In conjunction with the legally required driving and rest times, this shortage often leads to critical situations: overtired truck drives are forced to continue their search for the next available parking space or decide, as a matter of necessity, to park in forbidden zones. The aim must be to improve the utilization of the existing truck parking spaces.
Solution to provide relief
One important solution to provide relief here is the use of parking guidance for trucks on freeway rest areas. This solution makes use of dynamic display boards which inform truck drivers of the free parking spaces available at rest areas along the route ahead. This reduces driving time spent in search of a parking space – an important contribution to both traffic safety and the environment.
New technologies and procedures allow road-specific data, in particular travel times, to be collected directly. Traffic jams and disturbances can frequently be derived from this data with much more accuracy than from data supplied by local detection.
Technology in the Trial Phase
Basically, two different types of process data are being used in this area:
Floating Car Data (FCD).
These different approaches are currently in various stages of development and testing and display specific properties, such as data contents, data volume, how up-to-date the data is and the cost, which all have to be weighed and taken into consideration in any decision regarding their use.
Possible Sitraffic Products
The Sitraffic product family comprises two sustained and infrastructure-based procedures for travel-time management:
In principle, Siemens also allows data to be integrated from different data sources into a center’s data pool in order to make it available and utilize it for traffic management purposes and information systems or for offline applications such as planning and evaluation.
Data from various different sources is frequently available to describe the traffic situation. This data can differ with regard to its content, geographic detail, provision intervals and quality.
Optimization by Data Fusion
By merging data from various different sources, it is possible to obtain improvements in terms of completeness, accuracy and up-to-dateness. This allows traffic control, routing and information to be optimized.
A lot of experience in the handling of traffic data is required to merge data from various different sources. It is essential that the reliability of the data sources be assessed and consideration be given to the specific properties of the recording technologies.
In this context, Siemens develops customized solutions within the scope of ongoing projects.
Cooperative Systems - Car to x
“The introduction and utilization of C2x systems (cooperative systems) improves road safety and traffic efficiency, mainly thanks to solutions that rely on significantly better knowledge of the local and global traffic situation in the road network.” (ITS Action Plan, European Commission)
‘Car to x’ is a vision in traffic telematics that is internationally coordinated and has already inspired a multitude of projects, technological developments and standardization initiatives. C2x is the link between the two essential traffic technology components: the vehicles and the infrastructure systems.
This link is usually implemented through wireless communication and data exchange in the combinations. One possible application is the transfer of variable-message sign-switching directly into vehicles.