Lane-Level Road View System Using Segmented Probe Data
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Solution Overview
Problem
Current navigation systems, including GPS-based devices, face challenges in providing accurate lane-level traffic information due to positioning errors, which hinder the ability to distinguish between adjacent lanes and predict future traffic conditions effectively.
Innovation Solution
The method involves accessing and communicating lane-specific data using advanced positioning technologies like Differential Global Positioning System (DGPS) and sensing technologies such as camera systems to provide real-time, lane-level information, including speed conditions, to users through various display formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS data is used for navigation, then positioning coverage is widespread, but positioning precision deteriorates to several meters error
Solution Approach 1:
The system segments roadway information by dividing the road into multiple lanes and further into segments along each lane. Probe vehicles report traffic conditions for specific lane segments, allowing the system to track and communicate conditions for individual lanes rather than treating the entire roadway as a single entity.
Solution Approach 2:
The patent introduces an intermediary processing system that receives probe vehicle reports, processes the GPS data with lane-level information, and communicates processed traffic conditions to clients. This intermediary layer bridges the gap between imprecise GPS data and the need for accurate lane-level information by adding contextual lane segmentation and filtering.
2Loss of information
If probe vehicles report traffic conditions, then traffic information coverage increases, but lane identification accuracy deteriorates due to GPS error
Solution Approach 1:
The system segments roadway information by dividing the road into multiple lanes and further into segments along each lane. Probe vehicles report traffic conditions for specific lane segments, allowing the system to track and communicate conditions for individual lanes rather than treating the entire roadway as a single entity.
Solution Approach 2:
The system performs preliminary processing of probe vehicle reports by associating reported positions with specific lane segments before communicating traffic conditions. This preliminary action of pre-segmenting and pre-associating data ensures that when traffic conditions are communicated, they are already linked to the correct lane segments.
3Speed
If drivers change lanes to expedite travel, then short-term speed improves, but long-term travel time increases due to unknown traffic conditions
Solution Approach 1:
The system provides feedback to drivers about upcoming traffic conditions in different lanes. By communicating lane-specific traffic conditions ahead of time, drivers can make informed decisions about whether to change lanes, avoiding situations where they switch to a lane that will soon become congested.
Solution Approach 2:
The system performs preliminary processing of probe vehicle reports by associating reported positions with specific lane segments before communicating traffic conditions. This preliminary action of pre-segmenting and pre-associating data ensures that when traffic conditions are communicated, they are already linked to the correct lane segments.
Data Source
AI summary
Methods for providing a lane-level road view include: (a) accessing lane-specific data comprising information characterizing a first segment of a first lane of a road in a direction of travel; and (b) communicating at least a portion of the lane-specific data to a client. Apparatuses for providing lane-level road views are described.