# US 2026/0097791 A1 · Determining alternate routes based on health-related advantages > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0097791 A1 - Document ID: US20260097791A1 - Status: Published application - Kind: A1 - Application number: 18/905,195 - Filed: 2024-10-03 - Published: 2026-04-09 - Earliest claimed: 2024-10-03 - Assignees: Toyota Motor North America, Inc.; Toyota Jidosha Kabushiki Kaisha - Applicants: Toyota Motor North America, Inc. - Inventors: Imad Zahid; Joshua C. Batie - Web page: https://patentgrep.com/patent/US20260097791A1 ## CPC - B60W 60/0016: {of the vehicle or its occupants} - G01C 21/3484: {Personalized, e.g. from learned user behaviour or user-defined profiles} - B60W 40/08: related to drivers or passengers - B60W 50/0097: {Predicting future conditions} - B60W 50/14: Means for informing the driver, warning the driver or prompting a driver intervention - G01C 21/3407: {specially adapted for specific applications} - G01C 21/3415: {Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents} - G01C 21/3438: {Rendezvous; Ride sharing} - G01C 21/3446: {Details of route searching algorithms, e.g. Dijkstra, A*, arc-flags or using precalculated routes} - G01C 21/3453: {Special cost functions, i.e. other than distance or default speed limit of road segments} - G01C 21/3461: {Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types or segments such as motorways, toll roads or ferries} - G01C 21/3469: {Fuel consumption; Energy use; Emission aspects} - G01C 21/3492: {employing speed data or traffic data, e.g. real-time or historical (traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968)} - G01C 21/3617: {using user history, behaviour, conditions or preferences, e.g. predicted or inferred from previous use or current movement} - G01C 21/3691: {Retrieval, searching and output of information related to real-time traffic, weather, or environmental conditions (arrangements for giving variable traffic instructions G08G1/09)} - B60W 2540/221: Physiology, e.g. weight, heartbeat, health or special needs - B60W 2555/20: Ambient conditions, e.g. wind or rain - B60W 2556/40: High definition maps - B60W: CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT - G01C: MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY (measuring liquid level G01F; radio navigation, determining distance or velocity by use of propagation effects, e.g. Doppler effects, propagation time, of radio waves, analogous arrangements using other waves G01S) ## Abstract An example operation includes at least one of receiving, from a vehicle, first data that is related to at least one health condition of one or more occupants in the vehicle as the vehicle travels on a current route to a destination, receiving, from the vehicle, second data related to a quality of the current route, determining one or more alternate routes to the destination based on the first data and the second data, determining a first ranking of health-related advantages to the one or more occupants of the one or more alternate routes, determining a second ranking of travel-related disadvantages, determining an alternate route of the one or more alternate routes when the first ranking is above a first threshold and the second ranking is below a second threshold, and routing the vehicle to the alternate path. ## Claims ### Claim 1 A method, comprising: receiving, from a vehicle, first data that is related to at least one health condition of one or more occupants in the vehicle as the vehicle travels on a current route to a destination; receiving, from the vehicle, second data related to a quality of the current route; determining one or more alternate routes to the destination based on the first data and the second data; determining a first ranking of health-related advantages to the one or more occupants of the one or more alternate routes; determining a second ranking of travel-related disadvantages; determining an alternate route of the one or more alternate routes when the first ranking is above a first threshold and the second ranking is below a second threshold; and routing the vehicle to the alternate path. ### Claim 2 (depends on 1) The method of claim 1, comprising transmitting a notification to a device associated with the one or more occupants, wherein the notification identifies the determined alternate route. ### Claim 3 (depends on 1) The method of claim 1, comprising: receiving a second health condition for each of the one or more occupants from a device associated with each of the one or more occupants, wherein the second data includes environmental data related to the quality of the current route and a quality of the one or more alternate routes; and determining the first ranking of health-related advantages by comparing the environmental data and the second health condition for each of the one or more occupants to assign a health benefit score to each of the one or more alternate routes based on a reduction in exposure to an environmental condition. ### Claim 4 (depends on 1) The method of claim 1, comprising: determining one or more waypoints for the determined alternate route; updating a vehicle navigation system with a digital map related to the one or more waypoints; and interfacing with a vehicle control system to adjust one or more control parameters according to the alternate route. ### Claim 5 (depends on 1) The method of claim 1, comprising: implementing at least one artificial intelligence (AI) model using a neural network training capability with one or more environmental conditions, to predict a future environmental condition for the current route and for each of the one or more alternate routes; and executing the at least one implemented AI model to identify the determined alternate route for the one or more occupants. ### Claim 6 (depends on 5) The method of claim 5, wherein the at least one implemented AI model is configured to perform: collecting real-time data associated with a health level for the one or more occupants; processing the real-time data to generate the determined alternate route based on maximizing the health level by at least one of avoiding a congested area, avoiding a noisy environment, avoiding an environmental condition, or avoiding a stressful driving condition; and adjusting a vehicle navigation system to follow the determined alternate route. ### Claim 7 (depends on 1) The method of claim 1, comprising: determining that an environmental condition exists at a point of interest based on the second data; and determining the alternate route to avoid the point of interest. ### Claim 8 A system, comprising: a processor; and a memory, wherein the processor and the memory are communicably coupled, wherein the processor: receives, from a vehicle, first data that is related to at least one health condition of one or more occupants in the vehicle as the vehicle travels on a current route to a destination; receives, from the vehicle, second data related to a quality of the current route; determines one or more alternate routes to the destination based on the first data and the second data; determines a first rank order of health-related advantages to the one or more occupants of the one or more alternate routes; determines a second rank order of travel-related disadvantages; determines an alternate route of the one or more alternate routes when the first rank order is above a first threshold and the second rank order is below a second threshold; and routes the vehicle to the alternate path. ### Claim 9 (depends on 8) The system of claim 8, wherein the processor transmits a notification to a device associated with the one or more occupants, and wherein the notification identifies the determined alternate route. ### Claim 10 (depends on 8) The system of claim 8, wherein the processor: receives a second health condition for each of the one or more occupants from a device associated with each of the one or more occupants, wherein the second data includes environmental data related to the quality of the current route and a quality of the one or more alternate routes; and compares the environmental data and the second health condition for each of the one or more occupants to determine the first rank order of health-related advantages and to assign a health benefit score to each of the one or more alternate routes based on a reduction in exposure to an environmental condition. ### Claim 11 (depends on 8) The system of claim 8, wherein the processor: determines one or more waypoints for the determined alternate route; updates a vehicle navigation system with a digital map related to the one or more waypoints; and interfaces with a vehicle control system to adjust one or more control parameters in accordance with the alternate route. ### Claim 12 (depends on 8) The system of claim 8, wherein the processor: implements at least one artificial intelligence (AI) model with a neural network train capability with one or more environmental conditions, to predict a future environmental condition for the current route and for each of the one or more alternate routes; and executes the at least one implemented AI model to identify the determined alternate route for the one or more occupants. ### Claim 13 (depends on 12) The system of claim 12, wherein the at least one implemented AI model is configured to: collect real-time data associated with a health level for the one or more occupants; process the real-time data to generate the determined alternate route based on a maximization of the health level by at least one of avoids a congested area, avoids a noisy environment, avoids an environmental condition, or avoids a stressful drive condition; and adjust a vehicle navigation system to follow the determined alternate route. ### Claim 14 (depends on 8) The system of claim 8, wherein the processor: determines that an environmental condition exists at a point of interest based on the second data; and determines the alternate route to avoid the point of interest. ### Claim 15 A computer-readable storage medium comprising instructions that, when read by a processor, cause the processor to perform: receiving, from a vehicle, first data that is related to at least one health condition of one or more occupants in the vehicle as the vehicle travels on a current route to a destination; receiving, from the vehicle, second data related to a quality of the current route; determining one or more alternate routes to the destination based on the first data and the second data; determining a first ranking of health-related advantages to the one or more occupants of the one or more alternate routes; determining a second ranking of travel-related disadvantages; determining an alternate route of the one or more alternate routes when the first ranking is above a first threshold and the second ranking is below a second threshold; and routing the vehicle to the alternate path. ### Claim 16 (depends on 15) The computer-readable storage medium of claim 15, further comprising instructions for transmitting a notification to a device associated with the one or more occupants, wherein the notification identifies the determined alternate route. ### Claim 17 (depends on 15) The computer-readable storage medium of claim 15, further comprising instructions for: receiving a second health condition for each of the one or more occupants from a device associated with each of the one or more occupants, wherein the second data includes environmental data related to the quality of the current route and a quality of the one or more alternate routes; and determining the first ranking of health-related advantages by comparing the environmental data and the second health condition for each of the one or more occupants to assign a health benefit score to each of the one or more alternate routes based on a reduction in exposure to an environmental condition. ### Claim 18 (depends on 15) The computer-readable storage medium of claim 15, further comprising instructions for: determining one or more waypoints for the determined alternate route; updating a vehicle navigation system with a digital map related to the one or more waypoints; and interfacing with a vehicle control system to adjust one or more control parameters according to the alternate route. ### Claim 19 (depends on 15) The computer-readable storage medium of claim 15, further comprising instructions for: implementing at least one artificial intelligence (AI) model using a neural network training capability with one or more environmental conditions, to predict a future environmental condition for the current route and for each of the one or more alternate routes; and executing the at least one implemented AI model to identify the determined alternate route for the one or more occupants. ### Claim 20 (depends on 19) The computer-readable storage medium of claim 19, wherein the at least one implemented AI model is configured to perform: collecting real-time data associated with a health level for the one or more occupants; processing the real-time data to generate the determined alternate route based on minimizing the health level by at least one of avoiding a congested area, avoiding a noisy environment, avoiding an environmental condition, or avoiding a stressful driving condition; and adjusting a vehicle navigation system to follow the determined alternate route.