Abstract: A method involves accelerating the electronic determination of high quality solutions to routing problems by utilizing determined optimized time windows for precomputing optimal path matrices to reduce computer resource usage. The use of traffic windows defined based on changes in rates of change of speeds for traffic on road segments allows for more rapid determination of a set of one or more high quality solutions as compared to requiring on-demand, in-process determination of a shortest path for a particular time during comparison of paths or routes performed as part of a process for determining high quality solutions to the routing problem.

Abstract: A method involves accelerating the electronic determination of high quality solutions to routing problems by utilizing determined optimized time windows for precomputing optimal path matrices to reduce computer resource usage. The use of traffic windows defined based on changes in rates of change of speeds for traffic on road segments allows for more rapid determination of a set of one or more high quality solutions as compared to requiring on-demand, in-process determination of a shortest path for a particular time during comparison of paths or routes performed as part of a process for determining high quality solutions to the routing problem.

Abstract: A method involves accelerating the electronic determination of high quality solutions to routing problems by utilizing determined optimized time windows for precomputing optimal path matrices to reduce computer resource usage. The use of traffic windows defined based on changes in rates of change of speeds for traffic on road segments allows for more rapid determination of a set of one or more high quality solutions as compared to requiring on-demand, in-process determination of a shortest path for a particular time during comparison of paths or routes performed as part of a process for determining high quality solutions to the routing problem.

Abstract: A method involves accelerating the electronic determination of high quality solutions to routing problems by leveraging simplified travel time approximations. The use of first approximation travel time estimates allows for more rapid beginning of a process for electronically determining one or more high quality solutions to a routing problem as compared to having to wait for computation of second travel time estimates for every ordered pair of locations involved in the routing problem, thus allowing for more rapid determination of one or more high quality solutions.

Abstract: A server within an on-demand computing services environment may receive a request to determine a route that involves a set of geographic locations. The server may identify pre-computed path information suitable for responding to the request. A route may be determined based on the identified information, and route information may be transmitted in response to the request.

Abstract: A method involves utilizing a geo-locator service and zone servers to reduce server resource requirements for determining high quality solutions to routing problems. The use of a geo-locator service and zone servers enables the use of servers having less memory which can handle determination of high quality solutions to routing problems involving locations spanning a smaller geographic area even if they are incapable of handling determination of high quality solutions to routing problems involving locations spanning a larger geographic area, and enables efficient assignment of requests to an appropriate server without unduly burdening high value servers having sufficient memory to handle determination of high quality solutions to routing problems involving locations spanning a very large geographic area with determination of high quality solutions to routing problems involving locations spanning a smaller geographic area.

Abstract: A method involves accelerating the electronic determination of high quality solutions to routing problems by utilizing determined optimized time windows for precomputing optimal path matrices to reduce computer resource usage. The use of traffic windows defined based on changes in rates of change of speeds for traffic on road segments allows for more rapid determination of a set of one or more high quality solutions as compared to requiring on-demand, in-process determination of a shortest path for a particular time during comparison of paths or routes performed as part of a process for determining high quality solutions to the routing problem.

Abstract: A method involves accelerating the electronic determination of high quality solutions to routing problems by utilizing determined optimized time windows for precomputing optimal path matrices to reduce computer resource usage. The use of traffic windows defined based on changes in rates of change of speeds for traffic on road segments allows for more rapid determination of a set of one or more high quality solutions as compared to requiring on-demand, in-process determination of a shortest path for a particular time during comparison of paths or routes performed as part of a process for determining high quality solutions to the routing problem.

Abstract: A method involves accelerating the electronic determination of high quality solutions to routing problems by utilizing determined optimized time windows for precomputing optimal path matrices to reduce computer resource usage. The use of traffic windows defined based on changes in rates of change of speeds for traffic on road segments allows for more rapid determination of a set of one or more high quality solutions as compared to requiring on-demand, in-process determination of a shortest path for a particular time during comparison of paths or routes performed as part of a process for determining high quality solutions to the routing problem.

Abstract: A method involves accelerating the electronic determination of high quality solutions to routing problems by utilizing determined optimized time windows for precomputing optimal path matrices to reduce computer resource usage. The use of traffic windows defined based on changes in rates of change of speeds for traffic on road segments allows for more rapid determination of a set of one or more high quality solutions as compared to requiring on-demand, in-process determination of a shortest path for a particular time during comparison of paths or routes performed as part of a process for determining high quality solutions to the routing problem.

Abstract: A method involves utilizing a geo-locator service and zone servers to reduce server resource requirements for determining high quality solutions to routing problems. The use of a geo-locator service and zone servers enables the use of servers having less memory which can handle determination of high quality solutions to routing problems involving locations spanning a smaller geographic area even if they are incapable of handling determination of high quality solutions to routing problems involving locations spanning a larger geographic area, and enables efficient assignment of requests to an appropriate server without unduly burdening high value servers having sufficient memory to handle determination of high quality solutions to routing problems involving locations spanning a very large geographic area with determination of high quality solutions to routing problems involving locations spanning a smaller geographic area.

Abstract: A method involves utilizing a geo-locator service and zone servers to reduce server resource requirements for determining high quality solutions to routing problems. The use of a geo-locator service and zone servers enables the use of servers having less memory which can handle determination of high quality solutions to routing problems involving locations spanning a smaller geographic area even if they are incapable of handling determination of high quality solutions to routing problems involving locations spanning a larger geographic area, and enables efficient assignment of requests to an appropriate server without unduly burdening high value servers having sufficient memory to handle determination of high quality solutions to routing problems involving locations spanning a very large geographic area with determination of high quality solutions to routing problems involving locations spanning a smaller geographic area.

Abstract: A method involves utilizing a geo-locator service and zone servers to reduce server resource requirements for determining high quality solutions to routing problems. The use of a geo-locator service and zone servers enables the use of servers having less memory which can handle determination of high quality solutions to routing problems involving locations spanning a smaller geographic area even if they are incapable of handling determination of high quality solutions to routing problems involving locations spanning a larger geographic area, and enables efficient assignment of requests to an appropriate server without unduly burdening high value servers having sufficient memory to handle determination of high quality solutions to routing problems involving locations spanning a very large geographic area with determination of high quality solutions to routing problems involving locations spanning a smaller geographic area.

Abstract: A method involves utilizing a geo-locator service and zone servers to reduce server resource requirements for determining high quality solutions to routing problems. The use of a geo-locator service and zone servers enables the use of servers having less memory which can handle determination of high quality solutions to routing problems involving locations spanning a smaller geographic area even if they are incapable of handling determination of high quality solutions to routing problems involving locations spanning a larger geographic area, and enables efficient assignment of requests to an appropriate server without unduly burdening high value servers having sufficient memory to handle determination of high quality solutions to routing problems involving locations spanning a very large geographic area with determination of high quality solutions to routing problems involving locations spanning a smaller geographic area.

Abstract: A method involves utilizing a geo-locator service and zone servers to reduce server resource requirements for determining high quality solutions to routing problems. The use of a geo-locator service and zone servers enables the use of servers having less memory which can handle determination of high quality solutions to routing problems involving locations spanning a smaller geographic area even if they are incapable of handling determination of high quality solutions to routing problems involving locations spanning a larger geographic area, and enables efficient assignment of requests to an appropriate server without unduly burdening high value servers having sufficient memory to handle determination of high quality solutions to routing problems involving locations spanning a very large geographic area with determination of high quality solutions to routing problems involving locations spanning a smaller geographic area.

Abstract: A method involves utilizing a geo-locator service and zone servers to reduce server resource requirements for determining high quality solutions to routing problems. The use of a geo-locator service and zone servers enables the use of servers having less memory which can handle determination of high quality solutions to routing problems involving locations spanning a smaller geographic area even if they are incapable of handling determination of high quality solutions to routing problems involving locations spanning a larger geographic area, and enables efficient assignment of requests to an appropriate server without unduly burdening high value servers having sufficient memory to handle determination of high quality solutions to routing problems involving locations spanning a very large geographic area with determination of high quality solutions to routing problems involving locations spanning a smaller geographic area.

Abstract: A server within an on-demand computing services environment may receive a request to determine a route that involves a set of geographic locations. The server may identify pre-computed path information suitable for responding to the request. A route may be determined based on the identified information, and route information may be transmitted in response to the request.

Abstract: A server within an on-demand computing services environment may receive a request to determine a route that involves a set of geographic locations. The server may identify pre-computed path information suitable for responding to the request. A route may be determined based on the identified information, and route information may be transmitted in response to the request.

Abstract: A server within an on-demand computing services environment may receive a request to determine a route that involves a set of geographic locations. The server may identify pre-computed path information suitable for responding to the request. A route may be determined based on the identified information, and route information may be transmitted in response to the request.

Abstract: A method involves utilizing a geo-locator service and zone servers to reduce server resource requirements for determining high quality solutions to routing problems. The use of a geo-locator service and zone servers enables the use of servers having less memory which can handle determination of high quality solutions to routing problems involving locations spanning a smaller geographic area even if they are incapable of handling determination of high quality solutions to routing problems involving locations spanning a larger geographic area, and enables efficient assignment of requests to an appropriate server without unduly burdening high value servers having sufficient memory to handle determination of high quality solutions to routing problems involving locations spanning a very large geographic area with determination of high quality solutions to routing problems involving locations spanning a smaller geographic area.