SE540155C2 - Device and method for classification of road segment based on their suitability for platooning - Google Patents
Device and method for classification of road segment based on their suitability for platooningInfo
- Publication number
- SE540155C2 SE540155C2 SE1550429A SE1550429A SE540155C2 SE 540155 C2 SE540155 C2 SE 540155C2 SE 1550429 A SE1550429 A SE 1550429A SE 1550429 A SE1550429 A SE 1550429A SE 540155 C2 SE540155 C2 SE 540155C2
- Authority
- SE
- Sweden
- Prior art keywords
- road
- road segment
- classification
- platooning
- characterizing feature
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000011156 evaluation Methods 0.000 claims abstract description 12
- 230000000694 effects Effects 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 15
- 238000010276 construction Methods 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 8
- 230000036962 time dependent Effects 0.000 claims description 5
- 239000000446 fuel Substances 0.000 description 5
- 230000015572 biosynthetic process Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000004913 activation Effects 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000005431 greenhouse gas Substances 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/60—Intended control result
- G05D1/69—Coordinated control of the position or course of two or more vehicles
- G05D1/695—Coordinated control of the position or course of two or more vehicles for maintaining a fixed relative position of the vehicles, e.g. for convoy travelling or formation flight
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/22—Platooning, i.e. convoy of communicating vehicles
-
- 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
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3469—Fuel consumption; Energy use; Emission aspects
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- 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
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/14—Adaptive cruise control
- B60W30/16—Control of distance between vehicles, e.g. keeping a distance to preceding vehicle
- B60W30/165—Automatically following the path of a preceding lead vehicle, e.g. "electronic tow-bar"
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Automation & Control Theory (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Aviation & Aerospace Engineering (AREA)
- Traffic Control Systems (AREA)
- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
Abstract
A device and a method for classification of road segments (1) based on their suitability for platooning. The method comprises determining road data α for at least one road segment (1), wherein the road data α comprises at least one characterizing feature for the road segment (1) and identification data identifying the road segment (1). The method further comprises determining a classification of the road segment (1) indicating the suitability of the road segment (1) for platooning, based on a result of an evaluation of the at least one characterizing feature against a decision criterion. The method further comprises generating a classification signal β comprising the classification and the identification data.
Description
Device and method for classification of road segment based on their suitability for platooning Technical field The present disclosure relates to technology for platooning. In particular, the disclosure relates to a device and a method for classification of road segments based on their suitability for platooning. The disclosure also relates to a vehicle comprising the device, a computer program and a computer program product.
Background The European Union has set a goal of reducing greenhouse gases by 20% by 2020, and heavy vehicles currently account for 17% of the total CO2emissions in Europe. Thus, focus has been given on reducing fuel consumption of inter alia heavy vehicles to reach the goal and also to save on fuel costs. One way of reducing fuel consumption is to operate several vehicles in a chain formation, also known as platooning or a convoy.
Platooning take advantage of a reduced air drag by operating with small distances between vehicles. Under normal circumstances the air drag of a vehicle is proportional to the square of the vehicle’s velocity. This means that a reduction in speed from 90 km/h to 80 km/h reduces air drag by around 20 percent. Also, by staying close to a forward vehicle, an effect of reduced air drag can be obtained.
An adaptive cruise control, ACC, enables both of the above mentioned techniques for reducing air drag and fuel consumption, namely: • Allowing a lower cruising speed than the preset speed to reduce air drag when a forward vehicle is present.
• Staying closer to a forward vehicle may reduce air drag due to the aerodynamic effects.
Hence, by operating several vehicles in a chain formation, a substantial fuel reduction can be obtained through automated systems. However, it is difficult to establish or to maintain a vehicle platoon on certain road types. A road with several highway off- and on-ramps reduces the time a platoon can be maintained. For example, a vehicle might catch up with a preceding vehicle to form a platoon, only to have it turn off the road after a short while. If platoons are hard to establish or are dissolved just after they have been created, drivers may become more reluctant to form platoons.
Summary It is thus an object of the disclosure to provide a method that supports the formation of platoons. It is a further object of the disclosure to provide a method that increases the likelihood that a platoon will be maintained. These objects and others are at least partly achieved by the method and the device for classification of road segments based on their suitability for platooning according to the independent claims, and by the embodiments according to the dependent claims.
According to one aspect, the disclosure comprises a device for classification of road segments based on their suitability for platooning. The device is configured to determine road data ? for at least one road segment, wherein the road data ? comprises at least one characterizing feature for the road segment and identification data identifying the road segment. The device is further configured to determine a classification of the road segment indicating the suitability of the road segment for platooning, based on a result of an evaluation of the at least one characterizing feature against a decision criterion. The device is further configured to generate a classification signal ? comprising the classification and the identification data wherein the classification is time-dependent for avoiding traffic congestion.
According to a second aspect, the disclosure comprises a method for classification of road segments based on their suitability for platooning. The method is comprised of determining road data ? for at least one road segment, wherein the road data ? comprises at least one characterizing feature for the road segment and identification data identifying the road segment. The method further comprises determining a classification of the road segment indicating the suitability of the road segment for platooning, based on a result of at least one evaluation of the at least one characterizing feature against a decision criterion, and generating a classification signal ? comprising the classification and the identification data wherein the classification is time-dependent.
The device and/or method may aid fleet managers or operators to plan the transport routes more fuel-efficiently. Furthermore, it also aids in the acceptance of platoons, since by only platooning on the road segments suitable for platooning the traffic will be undisturbed. After positive experiences with platooning, drivers may continue with platooning to a higher extent than if they have negative platooning experiences.
According to one embodiment, the determining of the classification is based on evaluation of a plurality of characterizing features against a decision criterion each.
According to one embodiment, the characterizing feature is any of: a density of off-ramps along the road segment, speed restriction along the road segment, number of lanes along the road segment, road construction, number of previous successful platooning activities along the road segment and current or earlier traffic congestions along the road segment. The decision criterion comprises at least one limit for the characterizing feature, and the evaluation comprises to compare the characterizing feature to the at least one limit.
According to one embodiment, the characterizing features are configured to be continuously updated.
According to one embodiment, a road segment is any of a road route, a predetermined length of a road, or a length of a road where at least one characterizing feature is not changing or is changing within a predetermined interval.
According to one embodiment, the device is configured to send the classification signal ? to a communication device in a vehicle, whereby the classification and the identification data is communicated to the driver of the vehicle.
According to a third aspect, the disclosure relates to a vehicle comprising the device as disclosed herein.
According to a fourth aspect, the computer program P comprises a computer program code to cause a device, or a computer connected to the device, to perform the method according to any step as disclosed herein.
According to a fifth aspect, the computer program product comprising a computer program code stored on a computer-readable medium to perform the method as disclosed herein, when the computer program code is executed by a device or by a computer connected to the device.
Brief description of the drawings Fig. 1 illustrates a road network with a plurality of road segments.
Fig. 2 illustrates a device for classification of road segments according to one embodiment of the disclosure.
Fig. 3 illustrates a method for classification of road segments according to one embodiment of the disclosure.
Detailed description Fig. 1 is illustrating part of a road network with a plurality of interconnecting roads 1. When coordinating platoons, it is advantageous if information about the suitability of roads intended for performing platooning is available. If several routes are possible, the route with the most suitable roads for platooning may then be chosen. If there is no route with roads suitable for platooning available, then it may be decided to not platoon on these routes.
In Fig. 2 a device 2 is shown that has been developed in order to determine data that may be used when coordinating platoons. The device 2 includes a processing unit 3 and a memory unit 4. The processing unit 3 may be made up of one or more Central Processing Units (CPU). The memory unit 4 may be made up of one or more memory units. A memory unit may include a volatile and/or a non-volatile memory, such as a flash memory or Random Access Memory (RAM). The memory unit 4 further includes a computer program P including a computer program code to cause the device 2, or a computer connected to the device 2, to perform any of the method steps that will be described in the following. The device 2 may be an Electronic Control Unit (ECU), and be arranged in a vehicle (not shown). The device 2 may instead be arranged in an off-board system such as a remote computer or a road-side unit (not shown). The method may be performed when the vehicle is on the road, or e.g. on a fleet management portal.
The device 2 is arranged for classification of road segments based on their suitability for platooning. A road segment may be defined to be a road route, a predetermined length of a road, or a length of a road where at least one characterizing feature is not changing or is changing within a predetermined interval. A road route may be defined by geographical positions from a starting position to a destination position determined e.g. for accomplishing an assignment of a vehicle. A characterizing feature may be any of: a density of off-ramps along the road segment, speed restriction along the road segment, number of lanes along the road segment, road construction, a number of previously successful platooning activities along the road segment and current or earlier traffic congestions along the road segment.
In the flowchart shown in Fig. 3 the method for classification of road segments based on their suitability for platooning according to one embodiment is shown. According to one embodiment, only highways are considered for low computational complexity, i.e. fast computation. As previously described, the method may be implemented as program code P and saved in the memory unit 4 (Fig. 2). The method may thus be implemented with the above described hardware of the device 2. The method comprises determining road data ? for at least one road segment, wherein the road data ? comprises at least one characterizing feature for the road segment and identification data identifying the road segment (A1). The road data ? may be retrieved from commercial map databases, street maps etc. that may be continuously updated about speed restrictions, traffic conditions such as road works or traffic congestion, number or density of off-ramps, number of lanes etc. Road data ? may also be retrieved from a platooning coordinator system, which may keep track of successful and not successful platooning activities, traffic conditions such as road works or traffic congestion, etc. Road data ? such as the characterizing features may also be determined by the device 2 based on retrieved data such as time and location of road works, traffic congestions, platooning activities, location of off-ramps, etc. Identification data may include geographical positions of the road segment, route starting position and destination etc.
The method further comprises determining a classification of the road segment indicating the suitability of the road segment for platooning, based on a result of at least one evaluation of the at least one characterizing feature against a decision criterion (A2). The determining of the classification may be based on evaluation of a plurality of characterizing features against a decision criterion each. The characterizing feature may be any of: a density of off-ramps along the road segment 1, speed restriction along the road segment 1, number of lanes along the road segment 1, road construction, number of previously successful platooning activities along the road segment 1 and number of current or earlier traffic congestions along the road segment 1. The characterizing features are preferably continuously updated. The decision criterion may comprise at least one limit for the characterizing feature, and the evaluation may comprise comparing the characterizing feature to the at least one limit.
The limit for the density of off-ramps may for example be a number of off- ramps per 10 km, e.g. 0, 5, 1, 2, 3 etc. If there are none off-ramps on the road segment, then the road segment is suitable for platooning. If there are 10 off-ramps on the road segment, and the road segment is 50 km long, then the road segment is not suitable for platooning. Based on the length of the road segment and the number of off-ramps, the density of the road segment may be calculated.
The speed restriction along the road segment may be compared to a velocity limit, as platooning may be more beneficial, thus more fuel-efficient, during high speed. The speed restriction may be e.g. 70 km/h, or 90 km/h. If the speed restriction is lower than 70 km/h, the road segment is not suitable for platooning. If the speed restriction is lower than 90 km/h, but at least 70 km/h, then the road segment is suitable for platooning. If the speed restriction is at least 90 km/h, the road segment is even more suitable for platooning. Moreover, a low speed restriction (e.g. below 70km/h) may be a good indication of the expected traffic density, since more trafficated roads typically have a lower speed restriction. A road segment with high density is thus typically not suitable for platooning.
The number of lanes along the road segment 1 may be compared to a lane limit. For example, if the number of lanes in the same direction of the road segment 1 is less than two (2), the road segment 1 is not suitable for platooning. Platooning on a single lane road may cause annoyance to the other vehicles on the road that are not platooning, e.g. passenger vehicles.
Road data ? with a characterizing feature about road construction on the road segment 1 may be considered to determine if the road segment 1 is suitable for platooning or not. For example, if the road segment 1 has an ongoing road construction, then the road segment 1 is not suitable for platooning. The characterizing feature about road construction may be indicated as “road construction=yes” in the road data ? if there is a road construction along the road segment 1.
The characterizing feature the number of previous successful platooning activities along the road segment 1 may be compared to a lower limit for previously successful platooning activities along the road segment. For example, the lower limit may be one (1), and if the number of previous successful platooning activities is less than one (1), then the road segment 1 is not suitable for platooning. The characterizing feature the number of previous not successful platooning activities along the road segment may be compared to an upper limit for previously not successful platooning activities along the road segment. For example, the upper limit may be one (1), and if the number of previously not successful platooning activities is more than one (1), then the road segment 1 is not suitable for platooning. These characterizing features may also be compared against each other. For example, if the number of previously successful platooning activities along the road segment 1 is at least 20, and the number of previously not successful platooning activities along the road segment 1 is two (2), then the road segment 1 may still be determined to be suitable for platooning. The data of successful and not successful platooning activities is preferably continuously updated.
The characterizing feature the number of current or earlier traffic congestions along the road segment 1 may be compared to an upper limit for current or earlier traffic congestions along the road segment 1. For example, if the tracked number of earlier traffic congestions is five (5) the last 7 days, then the road segment may be determined to be not suitable for platooning.
The classification of the road segment 1 may according to one embodiment be either “highly suitable for platooning” or “not suitable for platooning”. If any of the available characterizing features of the road segment 1 show that the road segment 1 is not suitable for platooning, then the road segment 1 may according to this embodiment be determined to be “not suitable for platooning”. According to another embodiment, the classification of the road segment 1 may also include “medium suitable for platooning”. This classification may be determined if only some of the available characterizing features of the road segment 1 show that the road segment 1 is not suitable for platooning, and some of the available characterizing features of the road segment 1 show that the road segment 1 is suitable for platooning, or at least is not “not suitable” for platooning. For example, if there is no road construction along the road segment, but the speed restriction is 65 km/h, then the road segment may get the classification “medium suitable for platooning”.
The method further comprises generating a classification signal ? comprising the classification and the identification data. The classification may thus be any of “highly suitable for platooning”, “medium suitable for platooning” or “not suitable for platooning”. The classifications may however be expressed in another way, e.g. with numbers or other words or letters.
The classification signal ? may be sent to another entity in the vehicle or remote computer, or be used internally in the same device 2. By having the information of which road segments in a road network that are suitable for platooning, a platooning method may use the information to better choose road segments to platoon on. The platooning method may choose to only use road segments which are highly suitable for platooning.
The method may be initiated when information is retrieved, e.g. from a platooning coordination system, that a suitable vehicle for platooning with the own vehicle is located in front of the own vehicle, e.g. further down along the road. The method may also be initiated by the driver. The driver may initiate the method by voice input, via a button or lever, via input to a touch screen etc to a system comprising the device 2. Activation data may then be generated that is sent to the device 2, whereby the method is executed. The road between the own vehicle and the suitable vehicle may then be the road segment, and the method may in real time determine if the road segment is suitable for platooning or not. This information may determine if the own vehicle should platoon with the vehicle in front or not. The device 2 may be configured to send the classification signal to a communication device (not shown) in the own vehicle, whereby the classification and the identification data is communicated to the driver of the own vehicle. The driver is thereby informed about the suitability of the road segment for platooning.
The communicated information to the driver may e.g. be that the road segment is “highly suitable for platooning”, “medium suitable for platooning” or “not suitable for platooning”. If the road segment is suitable for platooning, the driver of the own vehicle may initiate a platooning operation to drive up to the suitable vehicle for platooning The driver may decide to platoon with the vehicle suitable for platooning further down the road e.g. by giving input to the platooning coordination system. The input to the platooning coordination system may be given as voice input, via a button or lever, via input to a touch screen etc.
Platooning between the own vehicle and the vehicle suitable for platooning may then be automatically performed. The driver may instead manually achieve platooning increasing its velocity to catch up with the vehicle suitable for platooning.
The classification may be time-dependent. This may mean that the classification is only valid a certain time of the day. For example may traffic congestion be heavy between 7 and 9 am on the road segment 1 and therefore the road segment 1 may not be suitable for platooning during these hours, meanwhile the traffic conditions during other hours may be better on this road segment 1 such that the road segment 1 during the other hours may be suitable for platooning.
The device 2 may be arranged to receive data ? via wireless communication such as vehicle-to-vehicle communication (V2V), or via infrastructure communication (V2I), depending on where the device 2 is arranged. The wireless communication may also be conducted via mobile communication servers, via an application in a communication unit or via a server.
The present invention is not limited to the above-described preferred embodiments. Various alternatives, modifications and equivalents may be used. Therefore, the above embodiments should not be taken as limiting the scope of the invention, which is defined by the appending claims.
Claims (11)
1. A device (2) for classification of road segments (1) based on their suitability for platooning, characterized in that the device (2) is configured to: - determine road data ? for at least one road segment (1), wherein the road data ? comprises at least one characterizing feature for the road segment (1) and identification data identifying the road segment (1); - determine a classification of the road segment (1) indicating the suitability of the road segment (1) for platooning, based on a result of an evaluation of the at least one characterizing feature against a decision criterion; - generate a classification signal ? comprising the classification and the identification data wherein the classification is time-dependent for avoiding traffic congestion.
2. The device (2) according to claim 1, wherein the determining of the classification is based on evaluation of a plurality of characterizing features against a decision criterion each.
3. The device (2) according to claim 1 or 2, wherein the characterizing feature is any of: a density of off-ramps along the road segment (1), speed restriction along the road segment (1), number of lanes along the road segment (1), road construction, number of previously successful platooning activities along the road segment (1) and number of current or earlier traffic congestions along the road segment (1).
4. The device (2) according to claim 3, wherein the decision criterion comprises at least one limit for the characterizing feature, and the evaluation comprises to compare the characterizing feature to the at least one limit.
5. The device (2) according to any of the preceding claims, wherein the characterizing features are configured to be continuously updated.
6. The device (2) according to any of the preceding claims, wherein a road segment is any of a whole road route, a predetermined length of a road, or a length of a road where at least one characterizing feature is not changing or is changing within a predetermined interval.
7. A device (2) according to any of the preceding claims, wherein the device (2) is configured to send the classification signal ? to a communication device in a vehicle, whereby the classification and the identification data is communicated to the driver of the vehicle.
8. A vehicle comprising a device (2) according to any of the preceding claims.
9. A method for classification of road segments (1) based on their suitability for platooning, the method comprising: - determining road data ? for at least one road segment, wherein the road data ? comprises at least one characterizing feature for the road segment (1) and identification data identifying the road segment (1); - determining a classification of the road segment (1) indicating the suitability of the road segment (1) for platooning, based on a result of at least one evaluation of the at least one characterizing feature against a decision criterion; - generating a classification signal ? comprising the classification and the identification data wherein the classification is time-dependent for avoiding traffic congestion.
10. A computer program P, wherein said computer program P comprises a computer program code to cause a device (1), or a computer connected to said device (1), to perform the method according to claim 9.
11. A computer program product comprising a computer program code stored on a computer-readable medium to perform the method according to claim 9, when said computer program code is executed by a device (1) or by a computer connected to said device (1).
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| SE1550429A SE540155C2 (en) | 2015-04-10 | 2015-04-10 | Device and method for classification of road segment based on their suitability for platooning |
| PCT/SE2016/050148 WO2016163929A1 (en) | 2015-04-10 | 2016-02-26 | Device and method for classification of road segments based on their suitability for platooning |
| DE112016001079.6T DE112016001079B4 (en) | 2015-04-10 | 2016-02-26 | Apparatus and method for classifying road sections based on their suitability for platooning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| SE1550429A SE540155C2 (en) | 2015-04-10 | 2015-04-10 | Device and method for classification of road segment based on their suitability for platooning |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| SE1550429A1 SE1550429A1 (en) | 2016-10-11 |
| SE540155C2 true SE540155C2 (en) | 2018-04-17 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| SE1550429A SE540155C2 (en) | 2015-04-10 | 2015-04-10 | Device and method for classification of road segment based on their suitability for platooning |
Country Status (3)
| Country | Link |
|---|---|
| DE (1) | DE112016001079B4 (en) |
| SE (1) | SE540155C2 (en) |
| WO (1) | WO2016163929A1 (en) |
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|---|---|---|---|---|
| US10921810B2 (en) | 2016-08-02 | 2021-02-16 | Pcms Holdings, Inc. | System and method for optimizing autonomous vehicle capabilities in route planning |
| US11293765B2 (en) | 2016-12-08 | 2022-04-05 | Pcms Holdings, Inc. | System and method for routing and reorganization of a vehicle platoon in a smart city |
| CN108877199A (en) * | 2017-05-15 | 2018-11-23 | 华为技术有限公司 | Control method, equipment and the car networking system of fleet |
| DE102018218368B3 (en) | 2018-10-26 | 2019-12-19 | Robert Bosch Gmbh | Method for operating a rail vehicle |
| EP3819187A1 (en) | 2019-11-05 | 2021-05-12 | Robert Bosch GmbH | Method for operating a rail vehicle |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8676466B2 (en) * | 2009-04-06 | 2014-03-18 | GM Global Technology Operations LLC | Fail-safe speed profiles for cooperative autonomous vehicles |
| US8717192B2 (en) | 2010-10-08 | 2014-05-06 | Navteq B.V. | Method and system for using intersecting electronic horizons |
| WO2014145918A1 (en) | 2013-03-15 | 2014-09-18 | Peloton Technology, Inc. | Vehicle platooning systems and methods |
| DE102011107111A1 (en) * | 2011-07-12 | 2013-01-17 | Continental Automotive Gmbh | A method and communication system for receiving data in wireless vehicle-to-environment communication |
| SE536818C2 (en) | 2012-03-29 | 2014-09-23 | Scania Cv Ab | Procedure and system for distance adjustment during travel widened vehicle train |
| SE1251163A1 (en) * | 2012-10-15 | 2014-04-16 | Scania Cv Ab | System and method in connection with the occurrence of vehicle trains |
| US8930122B2 (en) * | 2013-03-15 | 2015-01-06 | GM Global Technology Operations LLC | Methods and systems for associating vehicles en route to a common destination |
| SE537985C2 (en) * | 2013-09-30 | 2016-01-12 | Scania Cv Ab | System and method for regulating vehicle trains with a joint position-based driving strategy |
-
2015
- 2015-04-10 SE SE1550429A patent/SE540155C2/en unknown
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2016
- 2016-02-26 DE DE112016001079.6T patent/DE112016001079B4/en active Active
- 2016-02-26 WO PCT/SE2016/050148 patent/WO2016163929A1/en active Application Filing
Also Published As
| Publication number | Publication date |
|---|---|
| DE112016001079T5 (en) | 2017-11-23 |
| SE1550429A1 (en) | 2016-10-11 |
| DE112016001079B4 (en) | 2023-10-26 |
| WO2016163929A1 (en) | 2016-10-13 |
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