Determining optimum shared school bus route to a single destination from multiple origin pointsCreating...
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Determining optimum shared school bus route to a single destination from multiple origin points
Creating transfer edges in a multimodal network datasetMultimodal route analysis not yielding correct resultsFinding optimal network with python and network analyst in arcgis 10.0Map walking distance/time from transit stopscreating shortest route using line-segment layer as network locationsIdentify all continuous networks in a datasetWhy modelbuilder does not give the actual result?Navigating a road network and avoiding u-turnsAdding Cost to Shortest Path Finder in FMEWays to make network analyst prefer one type of path over the other while preserving accurate distance and velocity
Using ArcGIS and the network analyst toolkit, I want to determine the path of an optimized walking school bus route to school. a walking school bus is essentially a system by which adult volunteers chaperone elementary school children along a pre-set pedestrian path, to help keep them safe from traffic hazards and busy intersections. the idea would be that students would, starting from home, travel to their nearest walking bus "stop", then take the walking bus all the way to school.
I have a very detailed pedestrian network for my study area. scaled cost barriers include intersection controls, areas with high crime. the walking bus would bypass most of these barriers
Is there a workflow that could help determine the optimum location for the walking bus route itself? Right now my process is as follows:
Using closest facility analysis I determine the shortest path to the school for each house, then look at the density of routes along each segment of the network using a spatial join and the join count to find common "corridors". I would then digitize a route visually along this.
This is obviously fairly imprecise, and relies heavily on human judgement. Is there a better way to go about this?
arcgis-desktop network-analyst network
add a comment |
Using ArcGIS and the network analyst toolkit, I want to determine the path of an optimized walking school bus route to school. a walking school bus is essentially a system by which adult volunteers chaperone elementary school children along a pre-set pedestrian path, to help keep them safe from traffic hazards and busy intersections. the idea would be that students would, starting from home, travel to their nearest walking bus "stop", then take the walking bus all the way to school.
I have a very detailed pedestrian network for my study area. scaled cost barriers include intersection controls, areas with high crime. the walking bus would bypass most of these barriers
Is there a workflow that could help determine the optimum location for the walking bus route itself? Right now my process is as follows:
Using closest facility analysis I determine the shortest path to the school for each house, then look at the density of routes along each segment of the network using a spatial join and the join count to find common "corridors". I would then digitize a route visually along this.
This is obviously fairly imprecise, and relies heavily on human judgement. Is there a better way to go about this?
arcgis-desktop network-analyst network
add a comment |
Using ArcGIS and the network analyst toolkit, I want to determine the path of an optimized walking school bus route to school. a walking school bus is essentially a system by which adult volunteers chaperone elementary school children along a pre-set pedestrian path, to help keep them safe from traffic hazards and busy intersections. the idea would be that students would, starting from home, travel to their nearest walking bus "stop", then take the walking bus all the way to school.
I have a very detailed pedestrian network for my study area. scaled cost barriers include intersection controls, areas with high crime. the walking bus would bypass most of these barriers
Is there a workflow that could help determine the optimum location for the walking bus route itself? Right now my process is as follows:
Using closest facility analysis I determine the shortest path to the school for each house, then look at the density of routes along each segment of the network using a spatial join and the join count to find common "corridors". I would then digitize a route visually along this.
This is obviously fairly imprecise, and relies heavily on human judgement. Is there a better way to go about this?
arcgis-desktop network-analyst network
Using ArcGIS and the network analyst toolkit, I want to determine the path of an optimized walking school bus route to school. a walking school bus is essentially a system by which adult volunteers chaperone elementary school children along a pre-set pedestrian path, to help keep them safe from traffic hazards and busy intersections. the idea would be that students would, starting from home, travel to their nearest walking bus "stop", then take the walking bus all the way to school.
I have a very detailed pedestrian network for my study area. scaled cost barriers include intersection controls, areas with high crime. the walking bus would bypass most of these barriers
Is there a workflow that could help determine the optimum location for the walking bus route itself? Right now my process is as follows:
Using closest facility analysis I determine the shortest path to the school for each house, then look at the density of routes along each segment of the network using a spatial join and the join count to find common "corridors". I would then digitize a route visually along this.
This is obviously fairly imprecise, and relies heavily on human judgement. Is there a better way to go about this?
arcgis-desktop network-analyst network
arcgis-desktop network-analyst network
edited 4 hours ago
Vince
14.7k32749
14.7k32749
asked 6 hours ago
AlexAlex
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This looks like a Steiner tree problem. You'll need some programming to solve it.
Picture below shows manually improved output of algorithm from networkX:
and I think computing "flow" in this network will bring you even closer to near optimal solution:
In this case SE student looks like a best candidate to start route.
What you are doing will give you blurry pattern like that:
thanks so much! I am however having a bit of trouble finding the paper that forms the source of the approximation they used - i am writing a paper myself and need to cite it. also, if you had any code you could share to speed me along i would be very grateful!. I do know python.
– Alex
11 mins ago
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1 Answer
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1 Answer
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This looks like a Steiner tree problem. You'll need some programming to solve it.
Picture below shows manually improved output of algorithm from networkX:
and I think computing "flow" in this network will bring you even closer to near optimal solution:
In this case SE student looks like a best candidate to start route.
What you are doing will give you blurry pattern like that:
thanks so much! I am however having a bit of trouble finding the paper that forms the source of the approximation they used - i am writing a paper myself and need to cite it. also, if you had any code you could share to speed me along i would be very grateful!. I do know python.
– Alex
11 mins ago
add a comment |
This looks like a Steiner tree problem. You'll need some programming to solve it.
Picture below shows manually improved output of algorithm from networkX:
and I think computing "flow" in this network will bring you even closer to near optimal solution:
In this case SE student looks like a best candidate to start route.
What you are doing will give you blurry pattern like that:
thanks so much! I am however having a bit of trouble finding the paper that forms the source of the approximation they used - i am writing a paper myself and need to cite it. also, if you had any code you could share to speed me along i would be very grateful!. I do know python.
– Alex
11 mins ago
add a comment |
This looks like a Steiner tree problem. You'll need some programming to solve it.
Picture below shows manually improved output of algorithm from networkX:
and I think computing "flow" in this network will bring you even closer to near optimal solution:
In this case SE student looks like a best candidate to start route.
What you are doing will give you blurry pattern like that:
This looks like a Steiner tree problem. You'll need some programming to solve it.
Picture below shows manually improved output of algorithm from networkX:
and I think computing "flow" in this network will bring you even closer to near optimal solution:
In this case SE student looks like a best candidate to start route.
What you are doing will give you blurry pattern like that:
edited 4 hours ago
answered 4 hours ago
FelixIPFelixIP
16.4k11642
16.4k11642
thanks so much! I am however having a bit of trouble finding the paper that forms the source of the approximation they used - i am writing a paper myself and need to cite it. also, if you had any code you could share to speed me along i would be very grateful!. I do know python.
– Alex
11 mins ago
add a comment |
thanks so much! I am however having a bit of trouble finding the paper that forms the source of the approximation they used - i am writing a paper myself and need to cite it. also, if you had any code you could share to speed me along i would be very grateful!. I do know python.
– Alex
11 mins ago
thanks so much! I am however having a bit of trouble finding the paper that forms the source of the approximation they used - i am writing a paper myself and need to cite it. also, if you had any code you could share to speed me along i would be very grateful!. I do know python.
– Alex
11 mins ago
thanks so much! I am however having a bit of trouble finding the paper that forms the source of the approximation they used - i am writing a paper myself and need to cite it. also, if you had any code you could share to speed me along i would be very grateful!. I do know python.
– Alex
11 mins ago
add a comment |
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