CN109376665B - Taxi driver's driving behavior evaluation system based on crowd sensing - Google Patents
Taxi driver's driving behavior evaluation system based on crowd sensing Download PDFInfo
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Abstract
The invention discloses a taxi driver driving behavior evaluation system based on crowd sensing, which can evaluate the driving behavior of a driver on another taxi based on an image acquired by a vehicle-mounted device arranged on a certain taxi, so that the driving behavior of the driver of each taxi in a city can be monitored by other vehicles in the city, the evaluation result is more objective, and a taxi company can manage each driver conveniently.
Description
Technical Field
The invention relates to the technical field of driving information processing, in particular to a driving behavior evaluation system of a taxi driver based on crowd sensing.
Background
Taxis are well-known transportation tools, play an important role in urban traffic, taxi companies need to pay corresponding taxi drivers in the process of cooperating with the taxi drivers, because the taxi companies are difficult to judge differences of occupational qualities among the drivers, salaries are always issued to the drivers on the basis of the same standard, but for taxi drivers with large quantity, drivers with good driving behaviors and drivers with poor driving behaviors always exist, so if the salary issuing standards for the drivers are the same, the display is unfair, and in order to facilitate the taxi companies to issue the salaries to the drivers on the basis of the quality of the driving behaviors of the drivers, a system capable of evaluating the driving behaviors of the drivers is needed.
Disclosure of Invention
In order to solve the problems, the invention provides a driving behavior evaluation system of a taxi driver based on crowd sensing.
In order to achieve the purpose, the invention adopts the following specific technical scheme:
a taxi driver's driving behavior assessment system based on crowd sensing, comprising: an in-vehicle device provided on each vehicle and a server communicable with each of the in-vehicle devices;
the vehicle-mounted device arranged on the vehicle is used for collecting images around the vehicle body of the vehicle, and the vehicle-mounted device is provided with a face recognition module, a license plate recognition module, a driver behavior recognition module and a vehicle abnormal behavior recognition module, wherein:
the face recognition module is used for determining the identity information of a driver of a target taxi;
the license plate recognition module is used for determining the vehicle identity information of the target taxi;
the driver behavior identification module is used for determining abnormal behavior actions of a driver of the target taxi;
the vehicle abnormal behavior identification module is used for determining the abnormal behavior of the target taxi;
the vehicle-mounted device transmits driver identity information and/or vehicle identity information and/or abnormal driver behavior and/or abnormal vehicle behavior of a target rental vehicle around the vehicle body to the server;
the server transmits the driver identity information and/or vehicle identity information and/or abnormal driver behavior actions and/or abnormal vehicle behaviors of the target rental vehicle uploaded by the plurality of vehicle-mounted devices to the server to evaluate the driving behavior of the current driver of the target rental vehicle and give an evaluation result.
Further, the server determines whether the target taxi is a taxi in the jurisdiction range of the target taxi according to the driver identity information of the target taxi or/and the vehicle identity information of the target taxi.
Further, when the vehicle-mounted device simultaneously recognizes the driver identity information and the vehicle identity information in the same image, the server updates the binding state of the corresponding target rental vehicle and the corresponding driver once.
Further, dangerous driving actions are trained in a motion model library of the driver behavior recognition module in advance, and the dangerous driving actions comprise mobile phone playing driving actions, smoking driving actions and calling driving actions; the driver behavior recognition module is used for acquiring the action characteristics of the driving action of the driver, calculating the similarity between the action characteristics and the characteristics of each action in the action model library, and taking the action type corresponding to the characteristic with the highest similarity as the abnormal behavior action type of the driver.
Further, the vehicle-mounted device is arranged on a taxi, and the server is further used for controlling the vehicle-mounted device on the taxi driven by the driver to send out an alarm prompt when the received driving action of the driver on the target taxi is determined as a dangerous driving action.
Further, the server is preset with a deduction standard corresponding to each dangerous driving action, and the server is used for deducting the driving behavior operation point corresponding to the driver based on the deduction standard corresponding to the dangerous driving action so as to obtain an evaluation result when the received driving action of the driver on the target rental car is determined as the dangerous driving action.
Advantageous effects
The driving behavior evaluation system of the taxi drivers based on crowd sensing can evaluate the driving behavior of the driver on another taxi through the image acquired by the vehicle-mounted device arranged on one taxi, so that the driving behavior of the driver of each taxi in one city can be monitored by other vehicles in the city, the evaluation result is more objective, and taxi companies can manage the drivers conveniently.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
fig. 1 is a schematic structural diagram of a driving behavior evaluation system of a taxi driver based on crowd sensing provided in this embodiment;
fig. 2 is a schematic structural diagram of the in-vehicle device provided in this embodiment.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In order to enable a taxi company to effectively manage each driver according to the quality of the driving behavior of each taxi driver, the embodiment provides a driving behavior evaluation system of taxi drivers based on crowd sensing, which is shown in fig. 1 and comprises an on-board device 11 arranged on each vehicle and a server 12 capable of communicating with each on-board device 11. Alternatively, the vehicle-mounted device 11 in this embodiment may be disposed on a taxi, so that the taxi vehicles can supervise each other.
Referring to fig. 2, a face recognition module 111, a license plate recognition module 112, a driver behavior recognition module 113, and a vehicle abnormal behavior recognition module 114 are disposed in the vehicle-mounted device 11, wherein:
the face recognition module 111 is used for determining the identity information of the driver of the target rental vehicle;
the license plate recognition module 112 is used for determining the vehicle identity information of the target rental vehicle;
the driver behavior recognition module 113 is used for determining abnormal behavior actions of a driver of the target taxi;
the vehicle abnormal behavior recognition module 114 is used for determining the abnormal behavior of the target rental vehicle;
the vehicle-mounted device 11 transmits driver identity information and/or vehicle identity information and/or abnormal behavior actions of a driver and/or abnormal behaviors of a vehicle of a target rental vehicle around the vehicle body to a server;
the server transmits the driver identity information and/or the vehicle identity information and/or the abnormal behavior action of the driver and/or the abnormal behavior of the vehicle of the target rental vehicle to the server according to the driver identity information and/or the vehicle identity information and/or the abnormal behavior of the driver of the target rental vehicle uploaded by the plurality of vehicle-mounted devices, evaluates the driving behavior of the current driver of the target rental vehicle and gives an evaluation result.
It can be understood that each of the in-vehicle devices 11 may bind the determined driver identity information of the driver on the rental vehicle and the corresponding type of the abnormal behavior action of the driver, and send the bound driver identity information to the server 12, where the server 12 in this embodiment is configured to receive the type of the abnormal behavior action of the driver on the rental vehicle and the corresponding driver identity information, which are sent by the in-vehicle devices 11 on multiple vehicles, and evaluate, for each driver, the driving behavior of the driver according to the corresponding type of the abnormal behavior action.
It should be noted that the onboard device 11 provided on the vehicle in the present embodiment is used for capturing images of the front, and/or rear, and/or left, and/or right of the vehicle body. Preferably, the vehicle-mounted device 11 can acquire 360-degree images outside the vehicle, and specifically, can be realized by a 360-degree camera arranged on the roof of the vehicle.
The server in this embodiment is further configured to determine whether the target rental vehicle is a taxi in the jurisdiction of the target rental vehicle according to the driver identity information of the target rental vehicle or/and the vehicle identity information of the target rental vehicle, and if so, evaluate the driving behavior of the driver, otherwise, do not need to evaluate.
Specifically, the vehicle-mounted device 11 in the system provided by the present invention is further configured to, when it is determined that a rental vehicle exists in the image according to the image acquired at the time T1, recognize the license plate number of the rental vehicle through the license plate recognition module 112, and send the license plate number to the server 12 after binding the determined corresponding driver identity information and the determined type of the abnormal behavior action, so that the server 12 stores the license plate number and the corresponding driver identity information in an associated manner, so that the server 12 can query the corresponding driver based on the license plate number of the rental vehicle when the face recognition module 111 cannot acquire the facial features of the driver in the following steps. The vehicle-mounted device 11 in the system provided by the invention is also used for determining the violation type of the rental vehicle when determining that the rental vehicle has violation behaviors (abnormal behaviors) according to the image acquired at the time T2, acquiring the license plate number of the rental vehicle, binding the violation type and the license plate number, and then sending the bound violation type and the license plate number to the server 12, so that the server 12 can evaluate the driving behaviors of the driver related to the license plate number according to the violation type, wherein the time T2 is after the time T1.
In order to facilitate the confirmation of the evidence in the following, the in-vehicle device 11 may transmit the collected image to the server 12 for storage when determining that the rental car is violating the regulations.
The violation types in the embodiment include, but are not limited to, speeding, illegal parking, illegal lane change and overload, and it is assumed here that the vehicle-mounted device on the taxi a identifies the abnormal behavior of the taxi B, at this time, the vehicle abnormal behavior identification module in the vehicle-mounted device on the taxi a is used for acquiring the running speed V1 of the taxi a, acquiring a plurality of images of the taxi B, analyzing the plurality of images to determine the relative speed V2 between the taxi B and the taxi a, determining the running speed of the taxi B according to the relative speed V2 and the running speed V1 of the taxi a, and determining whether the taxi B is speeding or not based on the determined running speed of the taxi B.
The server 12 may be preset with a deduction standard corresponding to each violation type, and the server 12 is configured to, when receiving a violation type of a certain rental vehicle, deduct driving behavior corresponding to a driver associated with a license plate number of the rental vehicle based on the deduction standard corresponding to the violation type. For example, an overspeed trip buckle of 5 points, an illegal lane change buckle of 4 points, an illegal parking buckle of 3 points, etc. may be set.
At the beginning of each statistical period, the basic driving behavior operation scores of each taxi driver may be the same, and the server 12 compares the driving behavior operation scores of each driver when each statistical period ends, so that each driver can be ranked, and a taxi company can reward and punish each driver based on the ranking condition.
In order to correspond the violation detected by the vehicle-mounted device 11 to the driver who correspondingly implements the violation, in this embodiment, for the license plate number and the driver identity information stored in the server 12 in a correlated manner, when the server 12 receives new driver identity information bound to the license plate number, the driver identity information stored in advance in a correlated manner with the license plate number may be updated, that is, the old driver identity information is extracted as the newly received driver identity information. Even in some embodiments, when the in-vehicle apparatus recognizes the driver identification information and the vehicle identification information in the same image at the same time, the server may update the binding state of the corresponding target rental vehicle with the corresponding driver once.
Dangerous driving actions are trained in advance in an action model library of the driver behavior recognition module in the embodiment, and the dangerous driving actions include but are not limited to mobile phone playing driving actions, smoking driving actions and calling driving actions; the driver behavior recognition module is used for acquiring the action characteristics of the driving action of the driver, calculating the similarity between the action characteristics and the characteristics of each action in the action model library, and taking the action type corresponding to the characteristic with the highest similarity as the abnormal behavior action type of the driver.
The server 12 is also configured to control the in-vehicle device 11 on a taxi driven by a driver to issue an alarm prompt when it is determined that a received driving action of the driver on a certain taxi is a dangerous driving action, in order to prompt each driver so that the driver can specify his/her own behavior in time.
Similarly, in order to evaluate the professional qualities of the drivers, the server 12 is further configured to, when determining that the received driving action of the driver on a certain rental car is a dangerous driving action, credit the driving behavior corresponding to the driver.
The server 12 may be provided with a deduction criterion corresponding to each dangerous driving action in advance, and the server 12 is configured to, when the received driving action of the driver on a certain rental car is determined as a dangerous driving action, deduct driving behavior corresponding to the driver based on the deduction criterion corresponding to the dangerous driving action.
By the driving behavior evaluation system of the taxi driver based on crowd sensing provided by the embodiment, the driving behavior of the driver on another taxi can be evaluated based on the image acquired by the vehicle-mounted device arranged on one taxi, so that the driving behavior of the driver of each taxi in one city can be monitored by other vehicles in the city, the evaluation result is more objective, a taxi company can manage each driver conveniently, and the driving behavior of each taxi driver is monitored by other vehicles, so that certain constraint can be performed on the driving behavior of each taxi driver, and the occupational quality of each taxi driver can be relatively improved. In particular, since the number of vehicles in a city is large, even if one of the vehicle-mounted devices in the system is damaged, the evaluation of the driving behavior of each taxi driver is not affected.
It is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (5)
1. A taxi driver's driving behavior evaluation system based on crowd sensing, comprising: an in-vehicle device provided on each vehicle and a server communicable with each of the in-vehicle devices;
the vehicle-mounted device arranged on the vehicle is used for collecting images around the vehicle body of the vehicle, and the vehicle-mounted device is provided with a face recognition module, a license plate recognition module, a driver behavior recognition module and a vehicle abnormal behavior recognition module, wherein:
the face recognition module is used for determining the identity information of a driver of a target taxi;
the license plate recognition module is used for determining the vehicle identity information of the target taxi;
the driver behavior identification module is used for determining abnormal behavior actions of a driver of the target taxi;
the vehicle abnormal behavior identification module is used for determining the abnormal behavior of the target taxi;
the vehicle-mounted device transmits driver identity information and/or vehicle identity information and/or abnormal driver behavior and/or abnormal vehicle behavior of a target rental vehicle around the vehicle body to the server;
the server transmits the driver identity information and/or vehicle identity information and/or abnormal driver behavior and/or abnormal vehicle behavior of the target rental vehicle uploaded by the plurality of vehicle-mounted devices to the server to evaluate the driving behavior of the current driver of the target rental vehicle and give an evaluation result;
the vehicle-mounted device collects 360-degree images outside the vehicle and is realized through a 360-degree camera arranged on the roof of the vehicle;
dangerous driving actions are trained in advance in an action model library of the driver behavior recognition module; the server is preset with a deduction standard corresponding to each dangerous driving action, and is used for deducting the driving behavior operation points corresponding to the driver based on the deduction standard corresponding to the dangerous driving actions when the received driving actions of the driver on the target taxi are determined as the dangerous driving actions, so that an evaluation result is obtained.
2. The system for assessing driving behavior of taxi drivers based on crowd sensing according to claim 1, wherein the server determines whether a target taxi is a taxi in the jurisdiction to which the target taxi is affiliated according to driver identity information of the target taxi or/and vehicle identity information of the target taxi.
3. The system according to claim 1, wherein the server updates the binding state of the corresponding target taxi to the corresponding driver once when the vehicle-mounted device recognizes the driver identity information and the vehicle identity information in the same image at the same time.
4. The crowd sensing based driving behavior assessment system for taxi drivers according to claim 1, wherein the dangerous driving actions include cell phone playing driving actions, smoking driving actions, and calling driving actions; the driver behavior recognition module is used for acquiring the action characteristics of the driving action of the driver, calculating the similarity between the action characteristics and the characteristics of each action in the action model library, and taking the action type corresponding to the characteristic with the highest similarity as the abnormal behavior action type of the driver.
5. The system according to claim 4, wherein the onboard device is installed on a taxi, and the server is further configured to control the onboard device on the taxi driven by the driver to send an alarm prompt when the received driving action of the driver on the target taxi is determined as a dangerous driving action.
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| CN110316200B (en) * | 2019-07-05 | 2021-11-02 | 重庆愉客行网络有限公司 | Behavior management system and method for taxi driver |
| CN111191980A (en) * | 2019-12-19 | 2020-05-22 | 广州航天海特***工程有限公司 | Evidence generation method, device, equipment and storage medium |
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| US8655796B2 (en) * | 2011-06-17 | 2014-02-18 | Sanjay Udani | Methods and systems for recording verifiable documentation |
| CN103150560B (en) * | 2013-03-15 | 2016-03-30 | 福州龙吟信息技术有限公司 | The implementation method that a kind of automobile intelligent safety is driven |
| CN203217784U (en) * | 2013-03-26 | 2013-09-25 | 天津斯凯沃德信息科技有限公司 | Visual running-bus positioning system |
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| CN106710291B (en) * | 2015-11-17 | 2020-11-06 | 腾讯科技（深圳）有限公司 | Parking space obtaining method and device for parking lot |
| CN205453929U (en) * | 2015-12-19 | 2016-08-10 | 西安成远网络科技有限公司 | Real -time video transmission system |
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| CN106297283A (en) * | 2016-08-11 | 2017-01-04 | 深圳市元征科技股份有限公司 | Safe driving appraisal procedure based on vehicle intelligent unit and system |
| CN107133563A (en) * | 2017-03-17 | 2017-09-05 | 深圳市能信安科技股份有限公司 | A kind of video analytic system and method based on police field |
| CN107358665A (en) * | 2017-07-11 | 2017-11-17 | 山东建筑大学 | A kind of automatic card taking safety-protection system for highway |
| CN107180535A (en) * | 2017-07-12 | 2017-09-19 | 安徽金赛弗信息技术有限公司 | The joyride behavior automatic identification equipment and method of a kind of automatic sound detection based on deep learning |
| CN107697069B (en) * | 2017-10-31 | 2020-07-28 | 上海汽车集团股份有限公司 | Intelligent control method for fatigue driving of automobile driver |
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