System, method, and interface for selective visual display of guided input vehicle routing optimization

A computer map system for vehicle routing optimization, the system comprising:

• a computer device with a hardware processor having a graphical user interface (GUI) configured to:
• receive a plurality of stop locations;
• display a map visualization;
• provide one or more input tools to permit drawing and capture of directional input on the map visualization;
• receive a freeform shape input on the map visualization;
• display an optimized route on the map visualization;
• receive adjustments to the freeform shape input for triggering real-time modification and re-computation of the optimized route;
• and
• update the display of the map visualization based on a modified optimized route;
• non-transitory memory storing one or more machine learning models, weight parameters, and historical adjustments of map drawn input;
• and
• a processing system of one or more hardware processors programmed with executable instructions and with a communication path to the non-transitory memory, wherein the one or more hardware processors:
• translate the freeform shape input into spatial constraints for automated route optimization for the map visualization;
• generate the optimized route by determining an optimal sequencing of a plurality of geocoordinate line segments based on adherence to the freeform shape input, the spatial constraints, the plurality of stop locations, and efficiency factors, wherein the optimized route comprises a sequence of stop locations, wherein the optimized route is generated by providing the freeform shape input as soft constraints for determining the optimal sequencing, wherein the processing system converts the freeform shape input into an ordered polyline P={p1, p2, . . . , pk} of geographic coordinates in a projected coordinate system, wherein each consecutive pair (pi, pi+1) defines a directed segment, wherein the processing system computes a directionality score D(s) for each candidate stop s and each segment (pi, pi+1) as a function of:
• (i) the distance of s to the segment centerline, (ii) the projection of s onto the segment tangent, and (iii) the monotonicity of s along the cumulative arc length of P, wherein the processing system aggregates directionality scores across segments to yield a global adherence score;
• provide the optimized route to the computer device with the map interface;
• dynamically update the optimized route by adapting the weight parameters for the one or more machine learning models based on feedback or adjustments to the freeform shape input captured by the map interface, and the historical adjustments;
• and
• provide a modified optimized route to the computer device with the map interface.

A non-transitory computer-readable medium to store instructions, which when executed by a computer, cause the computer to perform operations comprising:

• receiving a freeform shape input on a map visualization of a map interface;
• translating the freeform shape input into spatial constraints for automated route optimization for the map visualization;
• generating an optimized route by determining an optimal sequencing of a plurality of geocoordinate line segments based on adherence to the freeform shape input, the spatial constraints, the plurality of stop locations, and efficiency factors, wherein the optimized route comprises a sequence of stop locations, wherein generating the optimized route comprises providing the freeform shape input as soft constraints for determining the optimal sequencing, wherein the processing system converts the freeform shape input into an ordered polyline P={p1, p2, . . . , pk} of geographic coordinates in a projected coordinate system, wherein each consecutive pair (pi, pi+1) defines a directed segment, wherein the processing system computes a directionality score D(s) for each candidate stop s and each segment (pi, pi+1) as a function of:
• (i) the distance of s to the segment centerline, (ii) the projection of s onto the segment tangent, and (iii) the monotonicity of s along the cumulative arc length of P, wherein the processing system aggregates directionality scores across segments to yield a global adherence score;
• displaying the optimized route on the map visualization of the map interface;
• and
• receiving adjustments to the freeform shape input for real-time modification and recalculation of the optimized route, and updating the display of the map visualization.