Abstract

Digital map systems may represent speed limits as static, single-value attributes, which can limit their ability to model real-world scenarios with multiple, context-dependent rules for a single road segment. A system is described for modeling coexisting speed limits via a multi-stage processing pipeline that may feature a parallel propagation architecture. This mechanism, which can be referred to as smearing, can propagate different speed limit types as independent, overlapping layers along a road network. The process can generate a dynamic, multi-dimensional map layer that consolidates explicit rules from physical signs and implicit legal rules. This framework may enable a vehicle's computing system (e.g., a smartphone, smart watch, wearable device) to determine an appropriate, context-aware speed limit under various conditions, potentially resolving ambiguity and improving accuracy over some static models.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Share

COinS