V2X Travel Time Calculation via Route Subsection Segmentation
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Solution Overview
Problem
Existing methods for determining travel times of road users are not cost-effective, precise, or current, and they lack anonymity and efficient data collection, especially in infrastructure development for Intelligent Transport Systems.
Innovation Solution
A method that divides a route section into subsections, assigns length and speed values to each subsection, and uses V2X communication to determine travel times based on speed and length values, allowing for precise and anonymous data collection through broadcast messages, enabling road users to calculate their travel times efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods for determining travel times are used, then infrastructure costs are reduced, but measurement precision and data accuracy deteriorate
Solution Approach 1:
The route section is divided into multiple subsections, with each subsection having its own length value and speed value. This segmentation allows for more precise travel time calculation while using existing V2X infrastructure without requiring additional expensive equipment deployment.
Solution Approach 2:
Road users themselves contribute position and speed information through their V2X devices, eliminating the need for external infrastructure to actively measure and collect data. The system uses self-reported data from vehicles to determine travel times, reducing infrastructure costs while maintaining precision.
2Measurement precision
If data collection is performed continuously, then measurement precision improves, but loss of time and processing overhead increase
Solution Approach 1:
The route section is pre-divided into subsections with predetermined length values stored in the system. When a road user traverses the section, the system only needs to retrieve these pre-calculated length values and combine them with speed data, significantly reducing processing time while maintaining accurate measurement precision.
3Measurement precision
If detailed position information is collected, then measurement precision improves, but loss of information (anonymity) deteriorates
Solution Approach 1:
The system extracts only the necessary position information (current location on the route section) required for travel time calculation, while excluding detailed personal identifiers. This allows precise position-based measurement while preserving road user anonymity by removing unnecessary sensitive data.
4Measurement precision
If more subsections are created, then measurement precision improves, but device complexity increases
Solution Approach 1:
The system changes the parameter representation by using pre-stored length values for each subsection rather than calculating distances dynamically. This simplifies the processing complexity while allowing flexible adjustment of the number of subsections to achieve desired measurement precision.
Data Source
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AI summary
A method is described for determining the travel time of road users on a road segment by recording position information of the current position of the road users and speed information of the road users, whereby the following steps are carried out to determine the travel time of the road users on the road segment: -- in a first step, the road segment is divided into a plurality of sub-segments, with a length value being assigned to each sub-segment, -- in a subsequent second step, a speed value is assigned to each of the sub-segments, -- in a subsequent third step, the travel time of the road users on the road segment is determined as a function of the respective speed values and the respective length values.