# US 2022/0034673 A1 · Trailer-considerate route recommendations > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2022/0034673 A1 - Document ID: US20220034673A1 - Status: Published application - Kind: A1 - Application number: 16/983,505 - Filed: 2020-08-03 - Published: 2022-02-03 - Earliest claimed: 2020-08-03 - Assignees: GM Global Technology Operations LLC - Applicants: GM Global Technology Operations LLC - Inventors: Donald K. Grimm; Fan Bai; David E. Bojanowski; Brooke A. Hart; Jeffrey M. Evangelist - Web page: https://patentgrep.com/patent/US20220034673A1 ## CPC - G01C 21/3453: {Special cost functions, i.e. other than distance or default speed limit of road segments} - G01C 21/3484: {Personalized, e.g. from learned user behaviour or user-defined profiles} - G01C 21/3407: {specially adapted for specific applications} - 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 21/3626: {Details of the output of route guidance instructions (traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968)} - 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)} - G06N 20/00: Machine learning - 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) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS ## Abstract A system and method to provide a trailer-considerate route recommendation involve obtaining logged information from vehicles, the logged information from each of the vehicles corresponding with a location of the vehicle, a time, a type of the vehicle, and a type of trailer pulled by the vehicle. A method includes obtaining potential routes under consideration for an on-going navigation by a trailering vehicle towing a towed trailer and obtaining road characteristics for the potential routes. A risk score is computed for each of the potential routes, the risk score being a weighted sum of risk factors. Each of the risk factors results from quantifying the logged information or the road characteristics. The trailer-considerate route recommendation is provided based on the risk score associated with each of the potential routes to affect the on-going navigation by the trailering vehicle. ## Claims ### Claim 1 A method of providing a trailer-considerate route recommendation, the method comprising: obtaining, by a processing system, logged information from vehicles, the logged information from each of the vehicles corresponding with a location of the vehicle, a time, a type of the vehicle, and a type of trailer pulled by the vehicle; obtaining, by the processing system, potential routes under consideration for an on-going navigation by a trailering vehicle towing a towed trailer; obtaining, by the processing system, road characteristics for the potential routes; computing, by the processing system, a risk score for each of the potential routes, the risk score being a weighted sum of risk factors, wherein each of the risk factors results from quantifying the logged information or the road characteristics; and providing, from the processing system, the trailer-considerate route recommendation based on the risk score associated with each of the potential routes to affect the on-going navigation by the trailering vehicle. ### Claim 2 (depends on 1) The method according to claim 1, further comprising empirically determining a weight corresponding with each risk factor used in the risk score. ### Claim 3 (depends on 2) The method according to claim 2, further comprising obtaining trailer-specific operator preferences and adjusting the weight corresponding each risk factor to which one of the trailer-specific operator preferences corresponds. ### Claim 4 (depends on 3) The method according to claim 3, further comprising using defaults for trailer-specific operator preferences that are not indicated by an operator. ### Claim 5 (depends on 3) The method according to claim 3, further comprising obtaining one or more of the trailer-specific operator preferences based on monitoring of driving behavior and machine learning. ### Claim 6 (depends on 3) The method according to claim 3, wherein the trailer-specific operator preferences include degree of tolerance for extra time or distance from a fastest or shortest route, degree of tolerance for danger of a route, degree of tolerance for route characteristics or degree of tolerance for ride comfort. ### Claim 7 (depends on 1) The method according to claim 1, further comprising categorizing the logged information according to the type of the vehicle and the type of the trailer. ### Claim 8 (depends on 7) The method according to claim 7, wherein the logged information used for the risk factors is specific to a category of the logged information matching a type of the trailering vehicle and a type of the towed trailer. ### Claim 9 (depends on 1) The method according to claim 1, wherein the obtaining the road characteristics for the potential routes is from a map database. ### Claim 10 (depends on 1) The method according to claim 1, wherein the providing the trailer-considerate route recommendation is to a central mapping system that communicates with the trailering vehicle or to an in-vehicle navigation system of the trailering vehicle. ### Claim 11 A system to provide a trailer-considerate route recommendation, the system comprising: memory configured to store logged information provided by vehicles, the logged information from each of the vehicles corresponding with a location of the vehicle, a time, a type of the vehicle, and a type of trailer pulled by the vehicle; and a processor configured to obtain potential routes under consideration for an on-going navigation by a trailering vehicle towing a towed trailer, to obtain road characteristics for the potential routes, to compute a risk score for each of the potential routes, the risk score being a weighted sum of risk factors, wherein each of the risk factors results from quantifying the logged information or the road characteristics, and to provide the trailer-considerate route recommendation based on the risk score associated with each of the potential routes to affect the on-going navigation by the trailering vehicle. ### Claim 12 (depends on 11) The system according to claim 11, wherein the processor is further configured to empirically determine a weight corresponding with each risk factor used in the risk score. ### Claim 13 (depends on 12) The system according to claim 12, wherein the processor is further configured to obtain trailer-specific operator preferences and to adjust the weight corresponding each risk factor to which one of the trailer-specific operator preferences corresponds. ### Claim 14 (depends on 13) The system according to claim 13, wherein the processor is further configured to use defaults for trailer-specific operator preferences that are not indicated by an operator. ### Claim 15 (depends on 13) The system according to claim 13, wherein the processor is further configured to obtain one or more of the trailer-specific operator preferences based on monitoring of driving behavior and machine learning. ### Claim 16 (depends on 13) The system according to claim 13, wherein the trailer-specific operator preferences include degree of tolerance for extra time or distance from a fastest or shortest route, degree of tolerance for danger of a route, degree of tolerance for route characteristics or degree of tolerance for ride comfort. ### Claim 17 (depends on 11) The system according to claim 11, wherein the processor is further configured to categorize the logged information according to the type of the vehicle and the type of the trailer. ### Claim 18 (depends on 17) The system according to claim 17, wherein the logged information used for the risk factors is specific to a category of the logged information matching a type of the trailering vehicle and a type of the towed trailer. ### Claim 19 (depends on 11) The system according to claim 11, wherein the processor is configured to obtain the road characteristics for the potential routes from a map database. ### Claim 20 (depends on 11) The system according to claim 11, wherein the processor is configured to provide the trailer-considerate route recommendation to a central mapping system that communicates with the trailering vehicle or to an in-vehicle navigation system of the trailering vehicle.