EP3118836A1 - Verfahren und vorrichtung zur bereitstellung von fahrvorschlägen - Google Patents

Verfahren und vorrichtung zur bereitstellung von fahrvorschlägen Download PDF

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Publication number
EP3118836A1
EP3118836A1 EP16172618.7A EP16172618A EP3118836A1 EP 3118836 A1 EP3118836 A1 EP 3118836A1 EP 16172618 A EP16172618 A EP 16172618A EP 3118836 A1 EP3118836 A1 EP 3118836A1
Authority
EP
European Patent Office
Prior art keywords
vehicle
ego vehicle
narrow road
road section
congestion
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP16172618.7A
Other languages
English (en)
French (fr)
Inventor
Vijil Kumar Balaraman
Naveen Vijayadharan Remani
Deepak RAVIKUMAR
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Robert Bosch GmbH
Bosch Global Software Technologies Pvt Ltd
Original Assignee
Robert Bosch GmbH
Robert Bosch Engineering and Business Solutions Pvt Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Robert Bosch GmbH, Robert Bosch Engineering and Business Solutions Pvt Ltd filed Critical Robert Bosch GmbH
Publication of EP3118836A1 publication Critical patent/EP3118836A1/de
Withdrawn legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • G08G1/161—Decentralised systems, e.g. inter-vehicle communication
    • G08G1/163—Decentralised systems, e.g. inter-vehicle communication involving continuous checking
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/09626—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages where the origin of the information is within the own vehicle, e.g. a local storage device, digital map
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • G08G1/167—Driving aids for lane monitoring, lane changing, e.g. blind spot detection
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
    • G08G1/096844—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route where the complete route is dynamically recomputed based on new data

Definitions

  • the invention relates to a device and method for providing driving suggestions to a driver of a vehicle.
  • Narrow road sections exist due to poor planning of the cities or due to geographical conditions of the places. As the width of the roads decreases at the narrow road sections, it easily leads to traffic congestion. Sometimes it may lead to dangerous situations such as traffic accidents. Also, the traffic congestion leads to increased travel times in reaching the destination. Efforts are made to combat the increasing traffic congestion in various ways, for example, receiving information about current traffic conditions and providing the information to individuals. Traffic sensors are installed to measure traffic flow. But such infrastructure involves high cost and complex features to be of significant use. Also, if the information about the traffic conditions is not available in a timely manner, then the value of the information is greatly reduced. Hence, a device capable of providing low cost, timely and accurate information about traffic congestion is required.
  • US patent application, 20070208501 discloses a method of receiving indications of multiple road segments of roads, and receiving information related to current traffic conditions of the segments during a period of time. Average traffic speed for vehicles is estimated. A weighted average of the reported speeds of the data samples is determined, and the estimated average speed of all vehicles traveling on the road segment is determined. The estimated average traffic speeds are used for the period of time to facilitate future travel on the roads.
  • Figure 1 illustrates a device 1000 to provide at least one driving suggestion in accordance with this invention.
  • the device 1000 comprises a time calculation means 101 to calculate a time to reach at least one narrow road section along a route for an ego vehicle 200 and each of at least one surrounding vehicle 300; a congestion prediction means 102 to predict a congestion at a starting location of the at least one narrow road section based on the calculated time of the ego vehicle 200 and each of the surrounding vehicle 300; and a suggestion means 103 to provide at least one suggestion to driver of the ego vehicle 200 based on the prediction.
  • the device 1000 is mounted in the ego vehicle 200.
  • the device 1000 provides routes to reach the destination.
  • the device 1000 is a navigation device mounted in the ego vehicle 200.
  • the device 1000 is a portable device, for example, a mobile phone, of the driver.
  • the device 1000 identifies a current location of the ego vehicle 200 using standard techniques such as global positioning system (GPS).
  • GPS global positioning system
  • the device 1000 generates a route to the destination selected by the driver from the current location of the ego vehicle 200.
  • the device 1000 obtains a vehicle speed of the ego vehicle 200 from at least one speed sensors mounted in the ego vehicle 200. As the ego vehicle 200 travels along the route to the destination, the device 1000 also receives the speed of at least one surrounding vehicle 300. The device 1000 determines the speed of each of the surrounding vehicle 300 which are within a predefined radius from the ego vehicle 200. In an embodiment, each of the surrounding vehicle 300 transmit the corresponding vehicle speed to the device 1000 using vehicle to vehicle communication. In another embodiment, the device 1000 in the ego vehicle 200 comprises sensors and computations systems to monitor the speed of the surrounding vehicles 300 within the predefined radius.
  • the device 1000 also receives information about narrow road sections along the selected route to the destination using GPS or navigation map data.
  • the narrow road sections are prestored in a memory of the device 1000.
  • the device 1000 receives information regarding the route to the destination from the GPS.
  • the road sections with width less than a threshold are defined as narrow road sections by the device 1000.
  • the device 1000 marks the narrow road sections once the route to the destination is selected by comparing the width of the road sections with the threshold. Since the width of a narrow road section is lesser than the threshold, the chances of a traffic congestion at the start of a narrow road section is high.
  • the time calculation means 101 receives the vehicle speed of the ego vehicle 200.
  • the time calculation means 101 also calculates a distance of the starting location of the at least one narrow road section from the current location of the ego vehicle 200.
  • the time calculation means 101 of the device 1000 calculates a time (T) to reach at least one narrow road along the route for the ego vehicle 200 using the below equation 1.
  • T D / S
  • the term 'D' is the distance of the ego vehicle 200 to reach the narrow road section from the current location of the ego vehicle 200.
  • the term 'S' is the vehicle speed of the ego vehicle 200.
  • the time calculation means 101 receives the vehicle speed of each of the surrounding vehicles 300 via vehicle to vehicle communication.
  • the time calculation means 101 calculates the distance of the starting location of the at least one narrow road section from the current location of each of the surrounding vehicles 300.
  • the speed and distance for each of the surrounding vehicle 300 to reach the at least one narrow road section along the route is received by the device 1000 in the ego vehicle 200 via vehicle to vehicle communication.
  • the time calculation means 101 calculates the time for each of the at least one vehicle surrounding the ego vehicle 200 in the same manner as explained above.
  • Figure 2 exemplary illustrates the ego vehicle and a plurality of vehicles surrounding the ego vehicle approaching a starting location 400 of a narrow road section.
  • the ego vehicle 200 is represented by EV.
  • the surrounding five vehicles within the predefined radius from the ego vehicle EV are represented by V1, V2, V3, V4 and V5.
  • the time to reach the starting location 400 of narrow road section by the ego vehicle EV and each of the five surrounding are represented by T, t1, t2, t3, t4 and t5 respectively.
  • the time calculation means 101 of the device 1000 present in the ego vehicle EV calculates the time to the narrow road section by the ego vehicle EV and the five surrounding vehicles V1, V2, V3, V4 and V5.
  • 'D1', 'D2', 'D3', 'D4' and 'D5' are the distance of to reach the starting location 400 of the narrow road section from each of the five surrounding vehicles V1, V2, V3, V4 and V5.
  • 'S1', 'S2', 'S3', 'S4' and 'S5' are the vehicle speed of each of the five surrounding vehicles V1, V2, V3, V4 and V5.
  • the time calculation means 101 transmits the calculated time for the ego vehicle 200 and the at least one surrounding vehicle 300 to the congestion prediction means 102 of the device 1000.
  • the congestion prediction means 102 compares the time (T) for the ego vehicle 200 to reach the narrow road section with the time (t) of each of the surrounding vehicles 300 to reach the starting location 400 of the narrow road section.
  • the congestion prediction means 102 identifies the surrounding vehicles, for which the time to reach the narrow road section within a predefined range.
  • the predefined range is given by the below equation 2.
  • the term 'T' is the time required for the ego vehicle 200 to reach the starting location 400 of the narrow road section.
  • 't' is the time required for an surrounding vehicle 300 within the predefined radius to reach the starting location 400 of the narrow road section.
  • the term 'x' is a value of time. For example, 'x' is equal to 3 minutes.
  • the congestion prediction means 102 identifies the vehicles surrounding the ego vehicle, which satisfy the Equation 2.
  • the congestion prediction means 102 counts the number of surrounding vehicle 300 surrounding the vehicle satisfying the Equation 2. When the number of surrounding vehicles 300 is greater than a threshold, then the congestion estimation means predicts a congestion at the starting location 400 of a narrow road section. When the number of vehicles is lesser than or equal to the threshold, then the congestion prediction means 102 estimates that the possibility of congestion at the starting location 400 of the narrow road section is low. Possibility of congestion at the narrow road section depends on the number of surrounding vehicles 300 reaching the starting location 400 of the narrow road section around the same time as the ego vehicle 200.
  • the congestion prediction means 102 of the device 1000 transmits the prediction of a congestion at the starting location 400 of at least one narrow road to the suggestion means 103 of the device 1000.
  • the suggestion means 103 of the device 1000 provides at least one driving suggestions to the driver of the ego vehicle 200 based on the prediction to avoid the congestion.
  • the suggestion means 103 of the device 1000 suggests at least one alternate route to the driver of the ego vehicle 200. This enables the driver of the ego vehicle 200 to avoid congestion along the route to the destination.
  • the suggestion means 103 of the device 1000 suggests a suitable vehicle speed to the driver of the ego vehicle 200 to avoid the congestion.
  • the device 1000 in the ego vehicle 200 transmits the predictions to a central traffic control server.
  • the central traffic control server may also receive information regarding estimated congestion from other vehicles travelling along the route to the destination.
  • the central traffic control server estimates the traffic density along the route based on the information received regarding the prediction from a plurality of vehicles travelling along the route to the destination.
  • the device 1000 measures a rate of change in the vehicle speed of the surrounding vehicles 300 along the route to the destination.
  • the/she reduces the vehicle speed.
  • the distance of the surrounding vehicle 300 from the ego vehicle 200 also increases.
  • the device 1000 considers all these factors in predicting the congestion at the starting location 400 of at least one narrow road section along the route by reducing the probability of such surrounding vehicles to cause congestion at the narrow road section.
  • the device 1000 receives alternate routes to the destination via navigation map data.
  • the device 1000 considers a probability of the surrounding vehicles 300 considering the alternate route while predicting the congestion at the starting location 400 of at least one narrow road section along the route.
  • the device 1000 considers a probability of vehicles changing their lanes in predicting the congestion at the starting location 400 of at least one narrow road section along the route. This probability is based on the change in the direction of movement of the surrounding vehicles 300 and a rate of change of the surrounding vehicles' 300 vehicle speed.
  • Figure 3 illustrates a method for providing at least one driving suggestions in accordance with this invention.
  • the time calculation means 101 to calculate a time to reach at least one narrow road section along a route for an ego vehicle 200 and each of at least one surrounding vehicle 300.
  • the congestion prediction means 102 to predict a congestion at a starting location 400 of the at least one narrow road section based on the calculated time of the ego vehicle 200 and each of the surrounding vehicles 300.
  • the suggestion means 103 to provide at least one suggestion to driver of the ego vehicle 200 based on the prediction to avoid the congestion.
  • the method provides a low cost solution for predicting as well as providing information about the traffic along a route and the road conditions.
  • the method also requires less infrastructure and can be set up easily.
  • the method provides a low cost infrastructure for monitoring the traffic especially in countries with vast area and large road networks with large traffic.
  • the method provides a low cost solution for traffic monitoring involving very less infrastructure and avoiding overhead or underground constructions, etc., which poses high cost.
EP16172618.7A 2015-07-17 2016-06-02 Verfahren und vorrichtung zur bereitstellung von fahrvorschlägen Withdrawn EP3118836A1 (de)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IN3688CH2015 2015-07-17

Publications (1)

Publication Number Publication Date
EP3118836A1 true EP3118836A1 (de) 2017-01-18

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EP (1) EP3118836A1 (de)
CN (1) CN106355915A (de)

Cited By (2)

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CN116153079A (zh) * 2023-04-17 2023-05-23 湖南工商大学 基于车辆轨迹分析的道路车流量预测方法及装置
US11679782B2 (en) 2021-01-26 2023-06-20 Honda Research Institute Europe Gmbh Method, system and vehicle for assisting an operator of the vehicle in assessing a traffic situation with shared traffic space

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CN107331183A (zh) * 2017-07-14 2017-11-07 广州大正新材料科技有限公司 基于共享安全的智能交通服务方法和系统
CN107316459B (zh) * 2017-07-21 2019-07-23 武汉依迅北斗空间技术有限公司 一种车辆轨迹异常检测方法及系统
DE102018006949A1 (de) * 2018-09-03 2020-03-05 Daimler Ag Verfahren zum fahrerlosen Betrieb eines Fahrzeugs
CN109841059A (zh) * 2019-01-09 2019-06-04 东华大学 一种基于vanet环境下预测拥挤路段并进行规避的方法
CN112805763B (zh) * 2021-01-29 2022-04-22 华为技术有限公司 一种道路预警的方法、装置和系统

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