USE OF GPS SIGNALS FROM MULTIPLE VEHICLES FOR ROBUST VEHICLE TRACKING
Methods and systems for tracking a target vehicle. GPS data can be obtained from multiple vehicles in the vicinity of a target vehicle. Such GPS data can include GPS signals associated with the multiple vehicles and GPS signals associated with the target vehicle. The GPS signals associated with the multiple vehicles can be fused, and a prediction made about the travel time of the target vehicle based on the GPS signals associated with multiple vehicles and the GPS signals associated with the target vehicle. The GPS data provides a redundancy that increases the accuracy and robustness of the prediction.
1 . A method for tracking vehicles using GPS signals, comprising:
obtaining GPS data from a plurality of vehicles in a vicinity of a target vehicle, said GPS data including GPS signals associated with said plurality of vehicles and GPS signals associated with said target vehicle;
fusing said GPS signals associated with said plurality of vehicles; and
making a prediction about a travel time of said target vehicle based on said GPS signals associated with said plurality of vehicles and said GPS signals associated with said target vehicle, said GPS data providing a redundancy, wherein said redundancy increases an accuracy and robustness of said prediction.
2 . The method of claim 1 further comprising requesting from said target vehicle sharing of said GPS signals associated with said target vehicle.
3 . The method of claim 1 further comprising if said target vehicle is unwilling to share said GPS signals associated with said target vehicle due to an indication of a privacy concern, utilizing only said GPS signals associated with said plurality of said vehicles to provide a model of travel to said target vehicle that said target vehicle utilizes to make a prediction about said travel time of said target vehicle.
4 . The method of claim 1 further comprising:
requesting from said target vehicle sharing of said GPS signals associated with said target vehicle; and
if said target vehicle is unwilling to share said GPS signals associated with said target vehicle due to an indication of a privacy concern, utilizing only said GPS signals associated with said plurality of said vehicles to provide a model of travel to said target vehicle that said target vehicle utilizes to make a prediction about said travel time of said target vehicle.
5 . The method of claim 1 further comprising providing a filter that utilizes said GPS data including multiple observations of associations associated with said plurality of vehicles to output a model of an environment that includes said plurality of vehicles with respect to said target vehicle.
6 . The method of claim 1 further comprising utilizing a model of an environment to predict said travel time of said target vehicle in said vicinity in a presences or an absence of vehicles in said vicinity, wherein said environment includes said plurality of vehicles with respect to said target vehicle.
7 . The method of claim 1 further comprising:
providing a filter that utilizes said GPS data including multiple observations of associations associated with said plurality of vehicles to output a model of an environment that includes said plurality of vehicles with respect to said target vehicle; and
utilizing said model to predict said travel time of said target vehicle in said vicinity in a presences or an absence of vehicles in said vicinity.
8 . The method of claim 7 wherein said filter comprises a Kalman filter.
9 . A system for tracking vehicles using GPS signals, said system comprising:
at least one processor; and
a non-transitory computer-usable medium embodying computer program code, said computer-usable medium capable of communicating with said at least one processor, said computer program code comprising instructions executable by said at least one processor and configured for:
obtaining GPS data from a plurality of vehicles in a vicinity of a target vehicle, said GPS data including GPS signals associated with said plurality of vehicles and GPS signals associated with said target vehicle;
fusing said GPS signals associated with said plurality of vehicles; and
making a prediction about a travel time of said target vehicle based on said GPS signals associated with said plurality of vehicles and said GPS signals associated with said target vehicle, said GPS data providing a redundancy, wherein said redundancy increases an accuracy and robustness of said prediction.
10 . The system of claim 9 wherein said instructions are further configured for requesting from said target vehicle sharing of said GPS signals associated with said target vehicle.
11 . The system of claim 9 wherein said instructions are further configured for: if said target vehicle is unwilling to share said GPS signals associated with said target vehicle due to an indication of a privacy concern, utilizing only said GPS signals associated with said plurality of said vehicles to provide a model of travel to said target vehicle that said target vehicle utilizes to make a prediction about said travel time of said target vehicle.
12 . The system of claim 9 wherein said instructions are further configured for:
requesting from said target vehicle sharing of said GPS signals associated with said target vehicle; and
if said target vehicle is unwilling to share said GPS signals associated with said target vehicle due to an indication of a privacy concern, utilizing only said GPS signals associated with said plurality of said vehicles to provide a model of travel to said target vehicle that said target vehicle utilizes to make a prediction about said travel time of said target vehicle.
13 . The system of claim 9 further comprising a filter that utilizes said GPS data including multiple observations of associations associated with said plurality of vehicles to output a model of an environment that includes said plurality of vehicles with respect to said target vehicle.
14 . The system of claim 9 wherein said instructions are further configured for utilizing a model of an environment to predict said travel time of said target vehicle in said vicinity in a presences or an absence of vehicles in said vicinity, wherein said environment includes said plurality of vehicles with respect to said target vehicle.
15 . The system of claim 9 further comprising a filter that utilizes said GPS data including multiple observations of associations associated with said plurality of vehicles to output a model of an environment that includes said plurality of vehicles with respect to said target vehicle and wherein said model is utilized to predict said travel time of said target vehicle in said vicinity in a presences or an absence of vehicles in said vicinity.
16 . The system of claim 15 wherein said filter comprises a Kalman filter.
17 . A non-transitory processor-readable medium storing computer code representing instructions to cause a process for tracking vehicles using GPS signals, said computer code comprising code to:
obtain GPS data from a plurality of vehicles in a vicinity of a target vehicle, said GPS data including GPS signals associated with said plurality of vehicles and GPS signals associated with said target vehicle;
fuse said GPS signals associated with said plurality of vehicles; and
make a prediction about a travel time of said target vehicle based on said GPS signals associated with said plurality of vehicles and said GPS signals associated with said target vehicle, said GPS data providing a redundancy, wherein said redundancy increases an accuracy and robustness of said prediction.
18 . The processor-readable medium of claim 17 wherein said code further includes code to:
request from said target vehicle sharing of said GPS signals associated with said target vehicle; and
if said target vehicle is unwilling to share said GPS signals associated with said target vehicle due to an indication of a privacy concern, utilize only said GPS signals associated with said plurality of said vehicles to provide a model of travel to said target vehicle that said target vehicle utilizes to make a prediction about said travel time of said target vehicle.
19 . The processor-readable medium of claim 17 wherein said code further includes code to:
provide a filter that utilizes said GPS data including multiple observations of associations associated with said plurality of vehicles to output a model of an environment that includes said plurality of vehicles with respect to said target vehicle; and
utilize said model to predict said travel time of said target vehicle in said vicinity in a presences or an absence of vehicles in said vicinity.
20 . The processor-readable medium of claim 19 wherein said filter comprises a Kalman filter.