Electronic Horizon Traffic Signal Timing Data
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Solution Overview
Problem
Current driving assistance systems lack the ability to effectively incorporate temporal conditions of dynamic phenomena, such as traffic lights, into their protocols, limiting their ability to anticipate and adapt to temporally variable events on the road.
Innovation Solution
A method that uses data processing systems within vehicles to determine and transmit data packets containing information about the position of traffic signal stop lines and the timing of signal phase changes, allowing electronic control devices to optimize speed profiles and driving behavior by anticipating signal changes, even for dynamically regulated traffic systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If static phenomena are included in electronic horizon messages, then information completeness is improved, but the system cannot handle dynamic phenomena like traffic lights with temporal conditions
Solution Approach 1:
The patent applies the dynamics principle by transforming the electronic horizon message structure from static to dynamic. It introduces temporal parameters (start time, end time, cycle time) that allow the system to represent and communicate time-varying phenomena such as traffic light signal phases. This enables the message to adapt to dynamic conditions while maintaining information completeness.
Solution Approach 2:
The patent implements parameter changes by adding temporal parameters (start time, end time, cycle time, signal phase duration) to the existing electronic horizon message structure. These parameter extensions allow the system to convey dynamic information about traffic lights and other temporally variable phenomena without losing static information, thus resolving the contradiction between information completeness and adaptability to dynamic phenomena.
2Adaptability or versatility
If temporal conditions of dynamic phenomena are incorporated into protocols, then adaptability to dynamic events is improved, but protocol complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the temporal information about dynamic phenomena into distinct, manageable parameters (start time, end time, cycle time, signal phase duration). This segmentation allows the complex temporal conditions to be represented in a structured, modular way that increases adaptability while keeping protocol complexity manageable through systematic organization.
Solution Approach 2:
The patent implements universality by designing a message structure that can handle both static phenomena (original functionality) and dynamic phenomena with temporal conditions (new functionality) using the same protocol framework. The extended parameters provide a universal solution that works for various types of dynamic events (traffic lights, temporary road closures, etc.) without requiring separate specialized protocols, thus improving adaptability while controlling complexity through reuse.
3Productivity
If data packets contain detailed timing information for signal phases, then driving optimization is improved, but data transmission requirements increase
Solution Approach 1:
The patent applies the taking out principle by extracting only the essential temporal parameters (start time, end time, cycle time, signal phase duration) needed for driving optimization from the complete set of possible traffic signal data. This selective extraction provides sufficient information for speed profile optimization and anticipatory driving while minimizing data transmission requirements by excluding redundant or non-essential information.
Data Source
AI summary
The invention relates to a driving assistance method for a vehicle, wherein the movement of the vehicle in the direction of travel can be influenced in accordance with a traffic-controlling signal system positioned on the road in front of the vehicle and having cyclically recurring signal states, and wherein, inside the vehicle, first data relating to the position of a stop line associated with the signal system, and second data relating to the start times and end times of individual signal states of the signal system are determined via a first data processing system (electronic horizon) and provided in the form of data packets (messages) (A, B) for electronic control devices by means of a data connection inside the vehicle, and wherein individual data packets contain at least the following data: an earliest possible and/or latest possible time for the exchange of a signal phase, as well as a most probable time of the exchange of a signal phase. The corresponding data can be provided in a more efficient manner in the vehicle, in a predetermined bit length according to the ADASIS v2-protocol and optionally by means of a CAN-bus-transport protocol, in such a way that the electronic control devices can base the planning of driving assistance measures on same.