Abstract: The present disclosure discloses a method and system for constructing a predictive vehicle driving condition, a device and a medium. The method includes: acquiring a first road set and historical vehicle driving data; screening distances less than or equal to a distance threshold from the first distance set, generating a road point-in-time set; sequencing a plurality of point-in-time corresponding to the same road segment, and cutting at two adjacent point-in-time with a time difference greater than a time threshold, to obtain a plurality of road segments; establishing road segment databases; screening segments with segment feature data meeting a second preset condition from all the road segment databases, and generating a road-condition segment set; and sequencing a plurality of condition segments corresponding to each road segment, and screening condition segments meeting a third preset condition from all the segment sequences, to generate an optimal driving condition.

Abstract: The present disclosure discloses a method and system for constructing a predictive vehicle driving condition, a device and a medium. The method includes: acquiring a first road set and historical vehicle driving data; screening distances less than or equal to a distance threshold from the first distance set, generating a road point-in-time set; sequencing a plurality of point-in-time corresponding to the same road segment, and cutting at two adjacent point-in-time with a time difference greater than a time threshold, to obtain a plurality of road segments; establishing road segment databases; screening segments with segment feature data meeting a second preset condition from all the road segment databases, and generating a road-condition segment set; and sequencing a plurality of condition segments corresponding to each road segment, and screening condition segments meeting a third preset condition from all the segment sequences, to generate an optimal driving condition.

Abstract: The present disclosure discloses a steady-state site driving condition development method based on a transient-state driving condition, including: fragmenting a laboratory chassis drum transient-state speed-time curve to obtain transient-state motion segments; fragmenting the transient-state motion segment that is not pretreated with reference to a minimum speed of the pretreated transient-state motion segments to obtain transient-state sub-motion segments; merging the transient-state sub-motion segments, calculating maximum constant speeds and mean accelerations and mean decelerations of steady-state motion segments; converting acceleration and deceleration processes into uniform acceleration and uniform deceleration processes, calculating acceleration and deceleration durations of the steady-state motion segments to obtain steady-state motion segment; connecting steady-state motion segments according to time axes, inserting idle segments between the steady-state motion segments and at the beginning and end

Abstract: Disclosed are a test routes planning method and apparatus of a vehicle on actual roads, a medium and a device. The method includes the following steps: dividing road traffic scenes; calculating traffic scene characteristics based on the divided road traffic scenes; constructing a preliminary road selection database for test routes; and completing a planning of the test routes of the vehicle on the actual roads at different speeds in different traffic scenes by leveraging a genetic algorithm based on the preliminary road selection database for the test routes. The present disclosure provides a solution for planning the test routes of the vehicle on the actual roads. In the solution, the travel speed distribution of a user is obtained through calculation based on traffic flow big data, and the planning of the test routes on the actual roads in different traffic scenes is completed by leveraging the genetic algorithm.