Abstract: Service disruption prevention through monitoring dynamic geofencing is disclosed. The present disclosure seeks to prevent (or drastically reduce the probability) mass vehicle recovery events due to fragile portions of the map. Tooling is used to actively monitor chokepoints and new avoidance areas. Comprised by the operational design domain (ODD), geofences are actively changed in response to the state of the chokepoints and avoidance areas. Varying states can be assigned to a plurality of geofences within the ODD, for example, if a geofence reaches a critical state, one or more areas can be cut off from the ODD.

Abstract: Service disruption prevention through chokepoint identification and monitoring is disclosed. The present disclosure seeks to prevent (or drastically reduce the probability) mass vehicle recovery events due to fragile portions of the map. Choke points are identified by iterating through the lane segments of a map and analyzing the effect of their removal on the service area. Once identified, tooling is used to actively monitor chokepoints using a hybrid polygon with high granularity. Down and upstream effects also can be determined. Based on the monitoring of lane segments and/or areas, location connectivity can be estimated and a map fragility calculated therefrom. If map fragility reaches a critical state, one or more areas can be cut off from the service area.

Abstract: A map database stores data describing a set of connected roads each having one or more lanes, each having one or more lanes. The map database further stores data describing at an avoidance area comprising an area in the map database that an autonomous vehicle (AV) avoids traversing. A routability system determines at least one lane that can be accessed by the AV if the AV traverses the avoidance area, and generates a restored coverage area corresponding to the at least one lane. The restored coverage area corresponds to an area of restored coverage provided by the AV traversing the avoidance area. The routability system computes a score based on the restored coverage area, the score indicating an impact of restoring access by the AV to the avoidance area.

Abstract: A map database stores data describing a set of connected roads each having one or more lanes, each having one or more lanes. The map database further stores data describing at an avoidance area comprising an area in the map database that an autonomous vehicle (AV) avoids traversing. A routability system determines at least one lane that can be accessed by the AV if the AV traverses the avoidance area, and generates a restored coverage area corresponding to the at least one lane. The restored coverage area corresponds to an area of restored coverage provided by the AV traversing the avoidance area. The routability system computes a score based on the restored coverage area, the score indicating an impact of restoring access by the AV to the avoidance area.