V2X Travel Time Determination via Sub-segment Speed Assignment
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Solution Overview
Problem
Existing methods for determining travel time of road users are not cost-effective, precise, or current, and do not account for individual driving behaviors or vehicle types, relying on infrastructure development and data collection that lacks anonymity and accuracy.
Innovation Solution
A method that divides a route into subsections, assigns speed values based on driving behavior and vehicle type, using V2X communication to collect and transmit position and speed information, allowing for precise determination of travel time by calculating average speed and considering driving behavior classifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to determine travel time by forecasting based on road conditions and speed limits, then the determination can be made with basic infrastructure, but the accuracy and timeliness of the data are insufficient
Solution Approach 1:
Road users themselves collect and transmit their position and speed data through V2X communication devices, eliminating the need for external infrastructure to collect this information. Each road user's device serves as both the data source and the processing unit, calculating travel times based on their own measurements and broadcasted data from other road users.
Solution Approach 2:
V2X communication acts as an intermediary mechanism that enables road users to exchange position and speed information without requiring traditional infrastructure. The communication protocol mediates the data collection process, allowing accurate travel time determination through peer-to-peer data sharing rather than infrastructure-based collection.
2Measurement precision
If individual road user data is collected to improve travel time determination accuracy, then the precision increases, but anonymity and data privacy are compromised
Solution Approach 1:
The system changes the parameter of data aggregation by grouping road users into categories (e.g., vehicle types, travel purposes) rather than tracking individual identities. This allows precise travel time calculation based on homogeneous group behavior while preserving individual anonymity, as only aggregated category-level data is stored and analyzed.
3Measurement precision
If comprehensive data collection is implemented to account for different vehicle types and driving behaviors, then the prediction accuracy improves, but the costs of data collection and processing increase
Solution Approach 1:
The system segments the route into multiple sub-sections and segments data collection by vehicle type and driving behavior category. Instead of collecting and processing all possible data uniformly, the system divides the problem into manageable segments, collecting only relevant data for each segment type. This reduces overall data volume while maintaining comprehensive coverage of different road user characteristics.
Solution Approach 2:
Different levels of data collection and processing are applied to different road user segments based on their specific characteristics. For example, more detailed data collection is applied to vehicle types that require higher precision, while simpler models are used for categories where coarse-grained data suffices. This localized approach optimizes the balance between accuracy and data volume.
Data Source
Figure 1~2
AI summary
A method is described for determining the travel time of road users on a road segment by recording positional information of the road users' current position and speed information, 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 each sub-segment being assigned a length value, -- in a subsequent second step, each of the sub-segments is assigned a speed value, -- 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, whereby the determination of the travel time requires or corresponds to the calculation of an average speed.where the average speed is calculated based on driving behavior information.