WO2022199934A1 - Verfahren und kraftfahrzeug für eine multimodale routenplanung - Google Patents
Verfahren und kraftfahrzeug für eine multimodale routenplanung Download PDFInfo
- Publication number
- WO2022199934A1 WO2022199934A1 PCT/EP2022/053431 EP2022053431W WO2022199934A1 WO 2022199934 A1 WO2022199934 A1 WO 2022199934A1 EP 2022053431 W EP2022053431 W EP 2022053431W WO 2022199934 A1 WO2022199934 A1 WO 2022199934A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- vehicle
- motor vehicle
- route
- small vehicle
- main motor
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000012546 transfer Methods 0.000 claims abstract description 23
- 238000001514 detection method Methods 0.000 claims abstract description 17
- 238000010801 machine learning Methods 0.000 claims description 4
- 238000005457 optimization Methods 0.000 description 8
- 230000008859 change Effects 0.000 description 5
- 238000013459 approach Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 238000012790 confirmation Methods 0.000 description 2
- CBENFWSGALASAD-UHFFFAOYSA-N Ozone Chemical compound [O-][O+]=O CBENFWSGALASAD-UHFFFAOYSA-N 0.000 description 1
- 230000004913 activation Effects 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000003780 insertion Methods 0.000 description 1
- 230000037431 insertion Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/3423—Multimodal routing, i.e. combining two or more modes of transportation, where the modes can be any of, e.g. driving, walking, cycling, public transport
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R9/00—Supplementary fittings on vehicle exterior for carrying loads, e.g. luggage, sports gear or the like
- B60R9/08—Supplementary fittings on vehicle exterior for carrying loads, e.g. luggage, sports gear or the like specially adapted for sports gear
Definitions
- the present invention relates to a method for automatic route planning and a motor vehicle that is set up for such a method.
- the object of the present invention is to enable further improved route planning. According to the invention, this object is achieved by the subject matter of the independent patent claims. Possible refinements and developments of the present invention are disclosed in the dependent patent claims, in the description and in the figures.
- the method according to the invention is used for automatic route planning.
- the method according to the invention can be used to plan a route, starting from a current position or from a predefined or detected starting point to a predefined or detected navigation destination, which route is to be traveled based on the vehicle.
- the navigation destination is recorded, in particular before or at the start of the journey, by a navigation device of a main motor vehicle that is set up for multimodal route planning. This can include, for example, detecting a corresponding user input via an input interface, retrieving corresponding data from a data memory and/or the like or more significant.
- a corresponding detection device of the main vehicle which is connected to a navigation device for route planning, or by the navigation device itself. If necessary, a corresponding
- Detection result are automatically transmitted to the navigation device or recorded by it.
- a small vehicle in the present sense can basically be any vehicle or any type of vehicle that can be carried or transported in, on or with the main vehicle.
- the small vehicle can be a bicycle, a unicycle, a scooter with or without a drive motor, a Segway personal transporter, an e-board, a skateboard and/or the like.
- Such a small vehicle can, for example, be transported in or with a conventional car, ie it can be carried along, which can then function as the main motor vehicle.
- a multimodal route to the navigation destination is automatically planned by the navigation device in a further method step of the method according to the invention. This multimodal route is planned in such a way that it includes a first
- the present invention thus provides for an automatic adjustment of the route planning to the respective circumstances.
- a multimodal route can, for example, save time, emissions and costs, reduce motor vehicle traffic in congested areas and also be health-promoting.
- the present invention makes the practical realization of these advantages particularly easy and convenient for a respective user and can lower the hurdle for using the small vehicle for stretches or sections.
- the automatic route planning is carried out or adapted automatically depending on the presence or absence of the small vehicle.
- a respective user does not have to make a manual selection or activation of the multimodal route planning, for example, if he takes the small vehicle with him in or on the main motor vehicle.
- the individual route sections for the respective means of transport i.e. for the main motor vehicle or for the small vehicle being carried along, are automatically planned in a targeted manner and also the transfer point at which a change from the main motor vehicle to the small vehicle takes place or should take place, by the navigation device is determined by oneself
- the entire multimodal route can be automatically optimized with regard to one or more specified criteria and thus be designed to meet requirements or be particularly pleasant or comfortable for the respective user. This is possible here with particularly little effort, since the respective user does not have to select the transfer point manually, for example, and different individual routes are not planned independently of one another, but are planned in combination with one another in all route sections.
- the navigation device finds several different possible multimodal routes to the navigation destination, ie possible route suggestions, they can respective user for selection or confirmation, i.e. presented. A corresponding selection or confirmation by a respective user can then still be special and simple compared to conventional solutions.
- the navigation device can be set up to automatically replan or update the planned route as required during the journey, in particular during the journey on the first route section, if, for example, a predetermined criterion is met.
- Such replanning or updating can take place automatically, for example, if there is a traffic jam or some other obstruction on the planned first route section based on current traffic data that has been recorded.
- the transfer point can be brought forward, ie the second route section can be lengthened at the expense of the first route section.
- the transfer point can be moved closer to the navigation destination and thus the second route section can be shortened in favor of the first route section if it is recognized based on recorded current weather data or based on a recorded local weather situation that a specified precipitation criterion or icy road criterion or the like is met.
- the navigation device can also be set up to automatically send at least the second route section or corresponding navigation data or navigation information to a navigation device of the small vehicle or to a mobile terminal device, for example a smartphone or the like, assigned to the respective small vehicle or the respective user.
- the course of the second route section can thus be presented to the user in a particularly simple and convenient manner while using the small vehicle along this second route section, even if the navigation device is part of the main motor vehicle, for example.
- the navigation device can be set up to automatically plan a monomodal route that involves covering the entire route to the navigation destination the main motor vehicle or to carry out multimodal route planning involving public transport.
- at least one camera of the main motor vehicle is automatically activated to detect the small vehicle—for example, by the navigation device.
- Image data captured by this camera is then captured and processed to identify the small vehicle.
- a conventional image processing algorithm, an artificial neural network trained accordingly for object recognition and/or the like can be used.
- the small vehicle can be detected, for example, after the navigation destination has been detected or, possibly again, before the start of the journey, in particular immediately before the start of the journey. If, in the latter case, a small vehicle is detected before or at the start of the journey that was not previously detected, for example in the case of monomodal route planning that had already taken place when the navigation destination was recorded earlier, the route can be automatically replanned as a multimodal route on this detection, i.e. the multimodal route planning can be carried out despite a route that may already have been planned.
- the use of a camera in the main motor vehicle to detect the small vehicle can be advantageous since many motor vehicles are already equipped with cameras nowadays, for example for monitoring the interior and/or for detecting the surroundings.
- the camera image-based detection of the small vehicle enables the small vehicle or a type of small vehicle to be identified. In other words, it can therefore be detected particularly reliably which small vehicle or which type of motor vehicle is being carried. This can then be taken into account in the multimodal route planning, for example with regard to route selection. For example, it can be taken into account which routes are permitted for the respectively detected small vehicle and which are not.
- the small vehicle or its presence i.e. its entrainment in the main vehicle
- the small vehicle can be detected, for example, using an RFID, Bluetooth, radio or NFC signal or the like. This can be particularly favorable, since then there may not be a direct line of sight between the detection device and the small vehicle or certain lighting conditions must be given in order to to reliably detect small vehicles.
- the signal can also be used to transmit further data in a particularly simple and reliable manner, for example with regard to a type, equipment or battery charge status of the small vehicle and/or the like.
- Such data can then also be taken into account by the navigation device in the multimodal route planning. It can thus be ensured, for example, that the second route section can be managed by the respective small vehicle, for example with regard to its off-road mobility and/or its battery-powered range.
- the signal based on which the small vehicle is detected, can be requested automatically, for example, by the main motor vehicle or the navigation device upon detection of the navigation destination.
- a corresponding query or read signal can be automatically sent out by the navigation device, for example, in order to trigger a corresponding response signal, based on which the small vehicle can be detected or identified, if the small vehicle is present. This enables a further improvement in user comfort, since the user does not have to manually activate a corresponding transmitter of the small vehicle, for example, and also avoids the small vehicle or its transmitter having to continuously transmit the signal in order to be detected.
- a carrier device mounted on the main vehicle is automatically detected to detect the small vehicle and the small vehicle is detected based on a weight load occurring when the small vehicle is inserted into the carrier device or a load change caused by the weight of the respective small vehicle.
- the carrier device can, for example, be detected optically, by means of a camera of the main motor vehicle and/or electrically, for example, when the carrier device is connected to an on-board network of the main motor vehicle.
- a weight or load sensor used for detecting the small vehicle can also be used for detecting the carrier device.
- a weight or a sensor or measured value caused by the empty carrier device can be stored, for example in a data memory of the navigation device.
- a weight or an associated sensor or measured value for the small vehicle or for several different small vehicles can be specified or stored. This can be a combined detection and enable identification of the small vehicle.
- a step-by-step or step-by-step change in the weight load a number of small vehicles that are carried along and inserted one after the other into the carrier device can be detected or identified. In practice, this is reliably possible since, as a rule, several small vehicles are not used in the carrier device at the same time.
- the detection of the small vehicle on the basis of the weight load can be particularly simple and reliable, since a sensor system used for this can be particularly robust with regard to environmental conditions, obstructed views and/or the like.
- the sensor system for detecting the weight load can include a pressure sensor, a force sensor, a strain gauge and/or the like. Such a sensor can be integrated, for example, in a receptacle or holder on the vehicle or a mounting point for the carrier device.
- the weight load can be detected, for example, based on an angle of inclination or a change in the angle of inclination, damper compression and/or the like of the main motor vehicle. If necessary, this can then be implemented without additional hardware of the main motor vehicle and thus in a particularly cost-effective and user-friendly manner.
- Corresponding data or measured values can, for example, be recorded by the navigation device via an on-board network of the main motor vehicle.
- the route and a position of the transfer point are optimized by the navigation device with regard to at least one predetermined criterion.
- a minimization of the total travel time can be specified as such a criterion, for example. For example, traffic or traffic jam data, a lower speed in inner-city traffic compared to extra-urban traffic, a time required to change from the main motor vehicle to the small vehicle and/or the like can be taken into account.
- a minimization of a proportion of main traffic roads or even traffic routes approved for motor vehicles or cars for the second route section can also be specified as a criterion.
- the route planning can be carried out in such a way that, depending on the type of the respective small vehicle, a proportion of footpaths or cycle paths is maximized for the second route section, for example.
- a particularly safe and pleasant driving experience can be realized on the second route section.
- compliance with a specified for the second route section can be used as a criterion Threshold for a maximum length, a maximum or average gradient and / or a maximum height difference between the transfer point and the navigation destination can be specified.
- Compliance with requirements specified for the transfer point, in particular space and safety requirements, can also be specified as a criterion. This ensures that the small vehicle can be unloaded or unloaded easily and safely at the transfer point.
- a minimization of a distance between the transfer point and the start of a path that is permitted for the small vehicle but is blocked for cars and forms at least part of the second route section can also be specified as a criterion.
- a minimization of the overall costs for reaching the navigation destination can also be specified as a criterion. For example, costs for drive energy, ie electric power for charging a traction battery or petrol or the like for the main motor vehicle, any toll fees incurred, parking fees at the transfer point and/or the like can be taken into account.
- a minimum length of the second route section can always be specified as an additional criterion.
- improved convenience and improved acceptance of the multimodal route planning can be achieved by ensuring that the multimodal route planning determines practical route suggestions or route planning solutions.
- Optimization with regard to one or more of the other criteria could, under certain circumstances, lead to the second route section only having a length in the range of 100 m, for example, which in practice usually means switching to the small vehicle in terms of suitability for everyday use and acceptance of multimodal route planning should not justify.
- An optimization threshold value can be specified or taken into account for one or more of the criteria mentioned.
- a threshold value can be specified for the incline or the vertical meters to be overcome along the second route section, with the route then being optimized in such a way that this optimization threshold value is complied with, ie not exceeded.
- the respective minimization or maximization can only be carried out or prioritized up to the respective predetermined optimization threshold value. This makes it possible to find meaningful, practicable solutions to the optimization problem, ie route planning and optimization, particularly quickly and reliably.
- a period of time required for unloading or unloading the small vehicle from or from the main motor vehicle is automatically determined. This time is then automatically taken into account when planning the route.
- the required length of time can, for example, be learned from past multimodal journeys by the navigation device. The required time can be broken down depending on the user, type of small vehicle, number of small vehicles, time of day, weather conditions, type of transfer point and/or the like. This enables a particularly precise, robust and reliable route planning and optimization.
- one or more criteria or conditions can be specified, which can be automatically checked or evaluated before the actual route planning and which determine whether the multimodal route planning is carried out at all or offered to a user or whether instead, for example - possibly despite the detection of a small vehicle being carried - another one Route planning is carried out, which does not take into account the small vehicle or its use.
- the latter can be, for example, multimodal route planning that only provides for the use of the main vehicle or park & ride route planning that provides for the use of the main vehicle and a public mass transport vehicle, for example a bus or train, in sections.
- Such criteria or conditions can be, for example, weather conditions are taken into account, possibly depending on individual user preferences.
- multimodal route planning can be carried out, i.e.
- the small vehicle or its use can only be taken into account if the current weather conditions or those expected up to the navigation destination fall within a predetermined range or if certain predetermined weather conditions, such as snowfall, icy roads, negative temperatures , heat, high ozone pollution, high UV values and/or the like are not present, i.e. are not given.
- the multimodal route planning involving the small vehicle or its use is only carried out for a section of the route if the total distance to the navigation destination is less than a predetermined distance threshold value.
- a predetermined distance threshold value For example, a maximum distance of 25 km, 50 km, 100 km, 150 km or several 100 km can be specified as such a distance threshold value.
- other, smaller, intermediate or larger values are also possible.
- situations can be excluded from the multimodal route planning in which it does not make sense. This can, for example, relate to a holiday trip, for example a journey to a hotel at a holiday location or the like.
- occupants of the main motor vehicle are automatically recognized by a detection device of the main motor vehicle.
- the multimodal route planning involving the small vehicle is then only carried out automatically if a predetermined criterion with regard to the number and/or identity of the recognized occupants is met, in particular if the number of recognized persons corresponds at most to the number of detected small vehicles, if the recognized occupants have a specific person or include a group of people and/or do not include a specific person, type of person or group of people.
- the detection device can be or include an interior camera of the motor vehicle, for example. The identity of the occupants can then, if appropriate, be carried out automatically using corresponding camera images and/or using personal mobile electronic devices of the occupants.
- route planning or route suggestions can be avoided that would lead to a separation or splitting up of a group of people traveling together in the main vehicle or would mean the use of the small vehicle by physically disabled people or infants, in particular without a respective user or vehicle occupant being able to do so multimodal route planning would have to be explicitly deactivated manually.
- the various criteria mentioned for optimizing the route and/or for deciding whether multimodal route planning is carried out or offered at all can be weighted, specified or selected automatically, for example depending on the situation or conditions, and/or by a user. This enables particularly good flexibility and adaptation time, in order ultimately to enable particularly convenient and needs-based use of the present invention.
- a machine learning device in particular the main motor vehicle or the navigation device, automatically learns the conditions under which a user of the main motor vehicle actually uses a small vehicle that is being carried.
- the multimodal route planning is then only carried out automatically if one, several or all of these conditions are met.
- connections or combinations of different parameters, situations, weather conditions, times of day, days of the week, seasons, certain starting points, certain navigation destinations, certain people or occupants of the main vehicle, other loading of the main vehicle and and/or the like can be determined by the device of machine learning that have led to the use of the small vehicle in the past or are likely to lead to such use.
- the machine learning setup can be trained to: automatically using the mentioned and/or other data to predict, for example, a respective probability that the respective user wants or will use the small vehicle for the respective journey, in particular if a corresponding multimodal route is suggested by the navigation device.
- the multimodal route planning can then be carried out automatically according to this probability or when a corresponding probability threshold value is reached or exceeded. Otherwise, ie if corresponding conditions are not fulfilled or given or the probability determined is below the probability threshold value, another route planning can be carried out automatically, for example as described. In this way, the convenience of use of the present invention can be further improved and possibly individualized with particularly little effort on the part of the user, ie adapted to personal characteristics, preferences or habits of the respective user.
- Another aspect of the present invention is a motor vehicle that has a detection device for automatically detecting a small vehicle carried in or on the motor vehicle and a navigation device coupled thereto for automatically planning a multimodal route to a navigation destination when a small vehicle is detected.
- the motor vehicle according to the invention is set up to carry out at least one variant of the method according to the invention, in particular automatically or semi-automatically.
- the motor vehicle according to the invention can therefore in particular be the main motor vehicle mentioned in connection with the method according to the invention. Accordingly, the motor vehicle according to the invention can have some or all of the properties and/or features mentioned in connection with the method according to the invention, in particular of the main motor vehicle mentioned there.
- FIG. 1 shows a fragmentary schematic overview representation to illustrate a method for multimodal route planning
- FIG. 2 shows a schematic representation of a detail of a motor vehicle that carries a small vehicle and is set up for multimodal route planning.
- a road 10 is shown here, on which a main motor vehicle 12 is located at an initial or starting point.
- This main motor vehicle 12 is used here by a driver 14 and carries a small vehicle 16 with him.
- the main motor vehicle 12 is set up for automatic, needs-based, multimodal route planning and has a navigation device 18 for this purpose.
- the driver 14 can enter or specify a respective navigation destination 20 for the navigation device 18, for example via a corresponding interface 36 (see FIG. 2). It can then be automatically detected that the small vehicle 16 is being carried in or on the main motor vehicle 12 .
- the navigation device 18 can record further data, for example with regard to the main motor vehicle 12, the small vehicle 16, the driver 14, current weather conditions, current traffic conditions and/or the like.
- the navigation device 18 can determine, for example, that a first road section 22 of the road 10 is classified as a main road, motor road or motorway or the like and currently or for a period of time subsequent to a planned departure time has only a relatively low traffic load, a closer to the navigation destination 20 lying second route section 24 is classified, for example, as an inner-city area and / or the time or during a planned travel time has a relatively high traffic load.
- the navigation device 18 can determine that along the road 10 or between a starting point and the navigation destination 20, for example, a parking lot 26 exists, the based on at least one predetermined criterion as a transfer point 32 in question, at which the driver 14 can switch from the main motor vehicle 12 to using the small vehicle 16.
- the navigation device 18 can determine that the road 10 at least one point, presently in the area of the parking lot 26, is at least close to a footpath and cycle path 28 that also leads to the navigation destination 20.
- the navigation device 18 can then carry out automatic multimodal route planning.
- the navigation device 18 plans a multi-part route from the start or starting point to the navigation destination 20 , which in the present case includes a first route section 30 and a second route section 34 .
- the first route section 30 leads from the start or starting point to the transfer point 32 and is to be covered with the main motor vehicle 12 in accordance with the multimodal route planning.
- the second route section 34 leads from the transfer point 32 to the navigation destination 20 and is to be covered with the small vehicle 16 .
- Fig. 2 shows an exemplary schematic representation of the main motor vehicle 12.
- Its navigation device 18 has the interface 36 here, via which, for example, user information, data or signals can be recorded and a planned route, a route suggestion or corresponding navigation instructions can be output - Be it to the driver 14, the small vehicle 16 and / or, for example, to an electronic device of the driver 14.
- the navigation device 18 also includes a processor device 38 and an associated computer-readable data memory 40.
- a Operating or computer program can be stored that represents the processes or measures described, i.e. coded or implemented, and can be executed by the processor device 38 in order to carry out a corresponding method for multimodal route planning or to carry it out cause.
- a carrier device 42 is mounted on the main motor vehicle 12, by means of which the small vehicle 16 carried along is transported.
- the carrier device 42 can be a bicycle carrier, for example.
- An assembly of the carrier device 42, but at least an insertion or loading of the small vehicle 16 in or on the carrier device 42 can be detected by a corresponding sensor system.
- the main motor vehicle 12 can have, for example, at least one load sensor 44 coupled to the carrier device 42 or to a mounting point of the main motor vehicle 12 provided for this purpose and/or a camera 46 .
- the latter can be or include, for example, an interior camera and/or an area camera.
- the driver 14 can also be recognized or identified via the former, in particular, and a number of other occupants of the main motor vehicle 12 can be determined if necessary. Overall, the examples described show how a multimodal
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Abstract
Description
Claims
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US18/549,786 US20240151539A1 (en) | 2021-03-24 | 2022-02-11 | Method and Motor Vehicle for Multimodal Route Planning |
CN202280013224.9A CN116867681A (zh) | 2021-03-24 | 2022-02-11 | 用于多模式路线规划的方法和机动车 |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102021107425.8 | 2021-03-24 | ||
DE102021107425.8A DE102021107425A1 (de) | 2021-03-24 | 2021-03-24 | Verfahren und Kraftfahrzeug für eine multimodale Routenplanung |
Publications (1)
Publication Number | Publication Date |
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WO2022199934A1 true WO2022199934A1 (de) | 2022-09-29 |
Family
ID=80685454
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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PCT/EP2022/053431 WO2022199934A1 (de) | 2021-03-24 | 2022-02-11 | Verfahren und kraftfahrzeug für eine multimodale routenplanung |
Country Status (4)
Country | Link |
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US (1) | US20240151539A1 (de) |
CN (1) | CN116867681A (de) |
DE (1) | DE102021107425A1 (de) |
WO (1) | WO2022199934A1 (de) |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102014224090A1 (de) | 2013-12-02 | 2015-06-03 | Ford Global Technologies, Llc | Planung für multimodale strecke |
DE102015116693A1 (de) * | 2014-10-06 | 2016-04-07 | Ford Global Technologies, Llc | Fahrzeug- und Elektrofahrrad-Ladungsüberwachungsschnittstelle |
SE538875C2 (en) * | 2015-05-07 | 2017-01-17 | Scania Cv Ab | Detecting vacant load capacity in a delivery vehicle |
US20180082585A1 (en) * | 2016-09-21 | 2018-03-22 | Ford Global Technologies Llc | Navigation systems for a vehicle and an auxilliary vehicle |
WO2018156118A1 (en) * | 2017-02-22 | 2018-08-30 | Ford Global Technologies, Llc | Autonomous bus bicycle rack |
US20190066041A1 (en) * | 2017-08-28 | 2019-02-28 | X Development Llc | Dynamic Truck Route Planning Between Automated Facilities |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR3091342B1 (fr) | 2018-12-28 | 2021-01-29 | Vulog | Procédé et système de planification d’un trajet |
US11226208B2 (en) | 2019-10-07 | 2022-01-18 | Lyft, Inc. | Transportation route planning and generation |
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2021
- 2021-03-24 DE DE102021107425.8A patent/DE102021107425A1/de active Pending
-
2022
- 2022-02-11 CN CN202280013224.9A patent/CN116867681A/zh active Pending
- 2022-02-11 US US18/549,786 patent/US20240151539A1/en active Pending
- 2022-02-11 WO PCT/EP2022/053431 patent/WO2022199934A1/de active Application Filing
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102014224090A1 (de) | 2013-12-02 | 2015-06-03 | Ford Global Technologies, Llc | Planung für multimodale strecke |
DE102015116693A1 (de) * | 2014-10-06 | 2016-04-07 | Ford Global Technologies, Llc | Fahrzeug- und Elektrofahrrad-Ladungsüberwachungsschnittstelle |
SE538875C2 (en) * | 2015-05-07 | 2017-01-17 | Scania Cv Ab | Detecting vacant load capacity in a delivery vehicle |
US20180082585A1 (en) * | 2016-09-21 | 2018-03-22 | Ford Global Technologies Llc | Navigation systems for a vehicle and an auxilliary vehicle |
WO2018156118A1 (en) * | 2017-02-22 | 2018-08-30 | Ford Global Technologies, Llc | Autonomous bus bicycle rack |
US20190066041A1 (en) * | 2017-08-28 | 2019-02-28 | X Development Llc | Dynamic Truck Route Planning Between Automated Facilities |
Also Published As
Publication number | Publication date |
---|---|
US20240151539A1 (en) | 2024-05-09 |
CN116867681A (zh) | 2023-10-10 |
DE102021107425A1 (de) | 2022-09-29 |
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