Algorithm for on road key points detection Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) The Ask Question Wizard is Live! Data science time! April 2019 and salary with experience Should we burninate the [wrap] tag?What is the best algorithm for an overridden System.Object.GetHashCode?What algorithms compute directions from point A to point B on a map?Easy interview question got harder: given numbers 1..100, find the missing number(s)Graph auto-layout algorithmUkkonen's suffix tree algorithm in plain EnglishImage Processing: Algorithm Improvement for 'Coca-Cola Can' RecognitionHow to find time complexity of an algorithmGiven two point sets A and B, how do you find the point in A farthest away from B?What is the optimal algorithm for the game 2048?Considering Start point and end point on edge, not Node of graph in Path finding algorithm for Road Network Graph

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Algorithm for on road key points detection



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
The Ask Question Wizard is Live!
Data science time! April 2019 and salary with experience
Should we burninate the [wrap] tag?What is the best algorithm for an overridden System.Object.GetHashCode?What algorithms compute directions from point A to point B on a map?Easy interview question got harder: given numbers 1..100, find the missing number(s)Graph auto-layout algorithmUkkonen's suffix tree algorithm in plain EnglishImage Processing: Algorithm Improvement for 'Coca-Cola Can' RecognitionHow to find time complexity of an algorithmGiven two point sets A and B, how do you find the point in A farthest away from B?What is the optimal algorithm for the game 2048?Considering Start point and end point on edge, not Node of graph in Path finding algorithm for Road Network Graph



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0















I have a problem with algorithm for detection points which leg on the road between source and destination points.



Example part of road with marked key points



There are a few assumptions for this:



  1. Starting from p0 (starting point) I want to move to pk (destination point)

  2. I have constraints for time and distance

  3. All of key points (p1, p2, p3, ..., pn) have weight (profit) corresponding to them (w1, w2, w3, ..., wn)

The question is how to detect which points are the most profitable? When I choose some points I would like to ask google navigation API if constraints are fulfilled but requests are expensive so it would be better for me not to do many of these.

Do you know any algorithm which is designed for solving such a problem?



---EDIT 1---



If I well understood you I should modify my problem to graph.



Transformation real road problem to graph



Still I don't know algorithm which allows me to solve this problem.

This is two-way graph (excluding connection to point p0 and pk). I would like to maximize profit and keep distance restrictions. Do you know any formal algorithm which could help me with it?



Example paths could be:

p0->3->2->1->pk

p0->1->pk










share|improve this question
























  • Is there any reason why Dijkstra's would not work here?

    – Mitchel Paulin
    Mar 8 at 16:46






  • 1





    If you can approximate time and distance using point coordinates (which should be reasonably cheap), you can calculate a preliminary profit-maximizing path given your constraints. Then, look up the real distances and times for the edges on your path and update. Iterate until you get a path that has the real distances and times.

    – Nico Schertler
    Mar 8 at 16:52











  • Dijkstra works for graph. Here is situation where I have real road. I know only distances in straight line between points but not real. To know real distance I have to send request for google but I would like to avoid it to ask for all of roads.

    – konrado
    Mar 8 at 16:58











  • @NicoSchertler Do you have any proposals how to approximate real distance between two coordinates? Important thing is that distance between points could be very small (0.5 km)

    – konrado
    Mar 8 at 17:36











  • Just direct distance, measured through air.

    – Nico Schertler
    Mar 8 at 17:40

















0















I have a problem with algorithm for detection points which leg on the road between source and destination points.



Example part of road with marked key points



There are a few assumptions for this:



  1. Starting from p0 (starting point) I want to move to pk (destination point)

  2. I have constraints for time and distance

  3. All of key points (p1, p2, p3, ..., pn) have weight (profit) corresponding to them (w1, w2, w3, ..., wn)

The question is how to detect which points are the most profitable? When I choose some points I would like to ask google navigation API if constraints are fulfilled but requests are expensive so it would be better for me not to do many of these.

Do you know any algorithm which is designed for solving such a problem?



---EDIT 1---



If I well understood you I should modify my problem to graph.



Transformation real road problem to graph



Still I don't know algorithm which allows me to solve this problem.

This is two-way graph (excluding connection to point p0 and pk). I would like to maximize profit and keep distance restrictions. Do you know any formal algorithm which could help me with it?



Example paths could be:

p0->3->2->1->pk

p0->1->pk










share|improve this question
























  • Is there any reason why Dijkstra's would not work here?

    – Mitchel Paulin
    Mar 8 at 16:46






  • 1





    If you can approximate time and distance using point coordinates (which should be reasonably cheap), you can calculate a preliminary profit-maximizing path given your constraints. Then, look up the real distances and times for the edges on your path and update. Iterate until you get a path that has the real distances and times.

    – Nico Schertler
    Mar 8 at 16:52











  • Dijkstra works for graph. Here is situation where I have real road. I know only distances in straight line between points but not real. To know real distance I have to send request for google but I would like to avoid it to ask for all of roads.

    – konrado
    Mar 8 at 16:58











  • @NicoSchertler Do you have any proposals how to approximate real distance between two coordinates? Important thing is that distance between points could be very small (0.5 km)

    – konrado
    Mar 8 at 17:36











  • Just direct distance, measured through air.

    – Nico Schertler
    Mar 8 at 17:40













0












0








0








I have a problem with algorithm for detection points which leg on the road between source and destination points.



Example part of road with marked key points



There are a few assumptions for this:



  1. Starting from p0 (starting point) I want to move to pk (destination point)

  2. I have constraints for time and distance

  3. All of key points (p1, p2, p3, ..., pn) have weight (profit) corresponding to them (w1, w2, w3, ..., wn)

The question is how to detect which points are the most profitable? When I choose some points I would like to ask google navigation API if constraints are fulfilled but requests are expensive so it would be better for me not to do many of these.

Do you know any algorithm which is designed for solving such a problem?



---EDIT 1---



If I well understood you I should modify my problem to graph.



Transformation real road problem to graph



Still I don't know algorithm which allows me to solve this problem.

This is two-way graph (excluding connection to point p0 and pk). I would like to maximize profit and keep distance restrictions. Do you know any formal algorithm which could help me with it?



Example paths could be:

p0->3->2->1->pk

p0->1->pk










share|improve this question
















I have a problem with algorithm for detection points which leg on the road between source and destination points.



Example part of road with marked key points



There are a few assumptions for this:



  1. Starting from p0 (starting point) I want to move to pk (destination point)

  2. I have constraints for time and distance

  3. All of key points (p1, p2, p3, ..., pn) have weight (profit) corresponding to them (w1, w2, w3, ..., wn)

The question is how to detect which points are the most profitable? When I choose some points I would like to ask google navigation API if constraints are fulfilled but requests are expensive so it would be better for me not to do many of these.

Do you know any algorithm which is designed for solving such a problem?



---EDIT 1---



If I well understood you I should modify my problem to graph.



Transformation real road problem to graph



Still I don't know algorithm which allows me to solve this problem.

This is two-way graph (excluding connection to point p0 and pk). I would like to maximize profit and keep distance restrictions. Do you know any formal algorithm which could help me with it?



Example paths could be:

p0->3->2->1->pk

p0->1->pk







algorithm






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Mar 9 at 8:46







konrado

















asked Mar 8 at 16:16









konradokonrado

184




184












  • Is there any reason why Dijkstra's would not work here?

    – Mitchel Paulin
    Mar 8 at 16:46






  • 1





    If you can approximate time and distance using point coordinates (which should be reasonably cheap), you can calculate a preliminary profit-maximizing path given your constraints. Then, look up the real distances and times for the edges on your path and update. Iterate until you get a path that has the real distances and times.

    – Nico Schertler
    Mar 8 at 16:52











  • Dijkstra works for graph. Here is situation where I have real road. I know only distances in straight line between points but not real. To know real distance I have to send request for google but I would like to avoid it to ask for all of roads.

    – konrado
    Mar 8 at 16:58











  • @NicoSchertler Do you have any proposals how to approximate real distance between two coordinates? Important thing is that distance between points could be very small (0.5 km)

    – konrado
    Mar 8 at 17:36











  • Just direct distance, measured through air.

    – Nico Schertler
    Mar 8 at 17:40

















  • Is there any reason why Dijkstra's would not work here?

    – Mitchel Paulin
    Mar 8 at 16:46






  • 1





    If you can approximate time and distance using point coordinates (which should be reasonably cheap), you can calculate a preliminary profit-maximizing path given your constraints. Then, look up the real distances and times for the edges on your path and update. Iterate until you get a path that has the real distances and times.

    – Nico Schertler
    Mar 8 at 16:52











  • Dijkstra works for graph. Here is situation where I have real road. I know only distances in straight line between points but not real. To know real distance I have to send request for google but I would like to avoid it to ask for all of roads.

    – konrado
    Mar 8 at 16:58











  • @NicoSchertler Do you have any proposals how to approximate real distance between two coordinates? Important thing is that distance between points could be very small (0.5 km)

    – konrado
    Mar 8 at 17:36











  • Just direct distance, measured through air.

    – Nico Schertler
    Mar 8 at 17:40
















Is there any reason why Dijkstra's would not work here?

– Mitchel Paulin
Mar 8 at 16:46





Is there any reason why Dijkstra's would not work here?

– Mitchel Paulin
Mar 8 at 16:46




1




1





If you can approximate time and distance using point coordinates (which should be reasonably cheap), you can calculate a preliminary profit-maximizing path given your constraints. Then, look up the real distances and times for the edges on your path and update. Iterate until you get a path that has the real distances and times.

– Nico Schertler
Mar 8 at 16:52





If you can approximate time and distance using point coordinates (which should be reasonably cheap), you can calculate a preliminary profit-maximizing path given your constraints. Then, look up the real distances and times for the edges on your path and update. Iterate until you get a path that has the real distances and times.

– Nico Schertler
Mar 8 at 16:52













Dijkstra works for graph. Here is situation where I have real road. I know only distances in straight line between points but not real. To know real distance I have to send request for google but I would like to avoid it to ask for all of roads.

– konrado
Mar 8 at 16:58





Dijkstra works for graph. Here is situation where I have real road. I know only distances in straight line between points but not real. To know real distance I have to send request for google but I would like to avoid it to ask for all of roads.

– konrado
Mar 8 at 16:58













@NicoSchertler Do you have any proposals how to approximate real distance between two coordinates? Important thing is that distance between points could be very small (0.5 km)

– konrado
Mar 8 at 17:36





@NicoSchertler Do you have any proposals how to approximate real distance between two coordinates? Important thing is that distance between points could be very small (0.5 km)

– konrado
Mar 8 at 17:36













Just direct distance, measured through air.

– Nico Schertler
Mar 8 at 17:40





Just direct distance, measured through air.

– Nico Schertler
Mar 8 at 17:40












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