AU2021105109A4 - Method and System for Driving Safety Early Warning of Heavy-Duty Vehicle on Bridge Construction Road - Google Patents
Method and System for Driving Safety Early Warning of Heavy-Duty Vehicle on Bridge Construction Road Download PDFInfo
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- AU2021105109A4 AU2021105109A4 AU2021105109A AU2021105109A AU2021105109A4 AU 2021105109 A4 AU2021105109 A4 AU 2021105109A4 AU 2021105109 A AU2021105109 A AU 2021105109A AU 2021105109 A AU2021105109 A AU 2021105109A AU 2021105109 A4 AU2021105109 A4 AU 2021105109A4
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- 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
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
- G08G1/054—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed photographing overspeeding vehicles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/165—Anti-collision systems for passive traffic, e.g. including static obstacles, trees
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
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Abstract
Disclosed are a method and system for driving safety early warning of
a heavy-duty vehicle on bridge construction road, which comprises the
following steps: obtaining driving behavior of a heavy-duty vehicle in real
time, wherein the driving behavior comprises face pictures of a driver and
5 driving state of the heavy-duty vehicle; determining whether the driving
behavior is an unsafe behavior, if so, sending a voice prompt to the driver,
and generating an abnormal event signal according to the unsafe behavior;
responding to the abnormal event signal, and performing corresponding
deduction processing on the driver according to the abnormal event signal to
10 obtain driving score; and adopting a corresponding processing mechanism
according to the driving score. The method and system for driving safety
early warning of a heavy-duty vehicle on bridge construction road provided
by the present invention may remind the drivers in real time during the
process of driving, and reduce the accidents of car crashes and human
is fatalities.
1/1
Obtaining driving behavior of a heavy-duty
vehicle in real time, wherein the driving behavior S101
comprises face pictures of a driver and driving
state of the heavy-duty vehicle
Determining whether the driving behavior is an
unsafe behavior, if so, sending a voice prompt to S102
the driver, and generating an abnormal event
signal according to the unsafe behavior
Responding to the abnormal event signal, and
performing corresponding deduction processing S103
on the driver according to the abnormal event
signal to obtain driving score
Adopting a corresponding processing mechanism S104
according to the driving score
Fig. 1
Description
1/1
Obtaining driving behavior of a heavy-duty vehicle in real time, wherein the driving behavior S101 comprises face pictures of a driver and driving state of the heavy-duty vehicle
Determining whether the driving behavior is an unsafe behavior, if so, sending a voice prompt to S102 the driver, and generating an abnormal event signal according to the unsafe behavior
Responding to the abnormal event signal, and performing corresponding deduction processing S103 on the driver according to the abnormal event signal to obtain driving score
Adopting a corresponding processing mechanism S104 according to the driving score
Fig. 1
Specification Method and System for Driving Safety Early Warning of Heavy-Duty Vehicle on Bridge Construction Road
Field of the Invention The present invention relates to the field of intelligent construction, in particular to a method and system for driving safety early warning of a heavy-duty vehicle on bridge construction road.
Background of the Invention With the rapid development of economy in China, the demand for traffic has increased rapidly, especially in areas like Yunnan, Guizhou and Sichuan, which not only have a lot of mountainous, but also are located in the Hengduan Mountains, with complex geology and extremely high costs of road construction. However, without the construction of bridges and roads, it is difficult for the local economy to develop. In related technologies, when building bridges between high mountains, heavy-duty vehicles need to drive between the top and the foot of the mountain through a construction road on the mountain. The construction road on the mountain is generally simple and dangerous. In the process of the heavy-duty vehicle driving up and down the mountain, when the driver is dozing off, playing with his mobile phone, especially speeding, he is prone to fail to stop the car and fall off the cliff, leading to serious accidents such as car crashes and human fatalities. Therefore, it is necessary to design a method and system for driving safety early warning of a heavy-duty vehicle on bridge construction road, so as to reduce the occurrence of the above-mentioned accidents.
Summary of the Invention The embodiments of the present invention provide a method and system for driving safety early warning of a heavy-duty vehicle on bridge construction road, so as to solve the problem of serious accidents such as car crashes and human fatalities that are prone to occur in the process of the heavy-duty vehicle driving up and down the mountain in related technologies. On the one hand, a method for driving safety early warning of a heavy- duty vehicle on bridge construction road is provided, comprising the following steps: obtaining driving behavior of a heavy-duty vehicle in real time, wherein the driving behavior comprises face pictures of a driver and driving state of the heavy-duty vehicle; determining whether the driving behavior is an unsafe behavior, if so, sending a voice prompt to the driver, and generating an abnormal event signal according to the unsafe behavior; responding to the abnormal event signal, and performing corresponding deduction processing on the driver according to the abnormal event signal to obtain driving score; and adopting a corresponding processing mechanism according to the driving score. In some embodiments, obtaining the driving behavior of the heavy-duty vehicle in real time, comprising: photographing the face of the driver by means of a first camera in real time to obtain the face pictures of the driver, and obtaining the driving state of the heavy-duty vehicle by means of a is second camera that photographs road surface, a GPS and a gyroscope. In some embodiments, the unsafe behavior comprises, but is not limited to, emotions, smoking, making phone calls, dozing off, speeding, sudden braking, sudden turning, rapid accelerating, and an imminent collide with the preceding vehicle. In some embodiments, adopting a corresponding processing mechanism according to the driving score, comprising: when the driving score is lower than a first score value, a prompt message is sent, wherein the prompt message comprises prompting a safety officer to check the driving behavior of the heavy-duty vehicle, and to voice chat with the driver to confirm the state of the driver; and when the driving score is lower than a second score value, an alarm is sent and the driver is prompted to be disqualified from driving on that day, wherein the second score value is less than the first score value. In some embodiments, after responding to the abnormal event signal, and performing corresponding deduction processing on the driver according to the abnormal event signal to obtain driving score, further comprising: sending the driving score, the position and speed of the heavy-duty vehicle to a background network terminal and a client terminal. On the other hand, a system for driving safety early warning of a heavy duty vehicle on bridge construction road is provided, comprising: an acquisition module, which is configured to obtain driving behavior of a heavy-duty vehicle in real time, wherein the driving behavior comprises face pictures of a driver and driving state of the heavy-duty vehicle; an intelligent analysis module, which is configured to determine whether the driving behavior is an unsafe behavior, if so, send a voice prompt to the driver, and generate an abnormal event signal according to the unsafe behavior; a data processing module, which is configured to respond to the abnormal event signal, and perform corresponding deduction processing on the driver according to the abnormal event signal to obtain driving score; and a human computer interaction module, which is configured to adopt a corresponding processing mechanism according to the driving score. In some embodiments, the acquisition module comprises: a first camera, which is configured to photograph the face of the driver in real time to obtain the face pictures of the driver; a second camera, which is configured to photograph road surface in real time to obtain road surface condition; a GPS, which is configured to obtain position and speed of the heavy-duty vehicle in real time; and a gyroscope, which is configured to obtain the behaviors of sudden braking, sudden turning, or rapid accelerating of the heavy-duty vehicle. In some embodiments, the human-computer interaction module comprises a background network terminal and a client terminal respectively communicatively connected with the data processing module, and the background network terminal and the client terminal receive the driving score, the position and speed of the heavy-duty vehicle in real time. In some embodiments, when the driving score received by the human computer interaction module is lower than a first score value, the background network terminal sends a prompt message, wherein the prompt message comprises prompting a safety officer to check the driving behavior of the heavy-duty vehicle and to voice chat with the driver to confirm the state of the driver; and when the driving score received by the human-computer interaction module is lower than a second score value, the client terminal sends an alarm and prompts the driver to be disqualified from driving on that day, wherein the second score value is less than the first score value. In some embodiments, the unsafe behavior comprises, but is not limited to, emotions, smoking, making phone calls, dozing off, speeding, sudden braking, sudden turning, rapid accelerating, and an imminent collide with the preceding vehicle. The beneficial effects of the technical solution provided by the present invention are as follows. The embodiments of the present invention provide a method and system for driving safety early warning of a heavy-duty vehicle on bridge construction road, since the face pictures of the driver and the driving state of the heavy-duty vehicle are collected during the driving process of the heavy-duty vehicle, it may be obtained in real time whether the current state of the driver will affect the normal driving and whether the vehicle is in a normal driving state, and from which the driving behavior of the heavy-duty vehicle may be further judged and analyzed, if the driving behavior is an unsafe behavior, the driver may be prompted in time, and the calculated driving score may be used to further determine corresponding measures for the driver. Therefore, the driver may be prompted in real time in the process of driving, reducing the accidents of car crashes and human fatalities.
Description of the Drawings In order to better illustrate the technical solution in the embodiments of the present invention, the following will briefly introduce the drawings needed in the description of the embodiments, and it is obvious that the drawings in the following description are only a part of embodiments of the present invention, for those of ordinary skill in the art, other drawings may also be obtained based on these drawings without any creative work. Fig. 1 is a flow chart of a method for driving safety early warning of a heavy-duty vehicle on bridge construction road in the embodiment of the present invention.
Detailed Description of the Embodiments In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely in combination with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention. The embodiment of the present invention provides a method and system for driving safety early warning of a heavy-duty vehicle on bridge construction road, which can solve the problem of serious accidents such as car crashes and human fatalities that are prone to occur during the process of a heavy-duty vehicle driving up and down the mountain in related technologies. As shown in Fig. 1, the embodiment of the present invention provides a method for driving safety early warning of a heavy-duty vehicle on bridge construction road, which may comprise the following steps. Si01: obtaining driving behavior of a heavy-duty vehicle in real time, wherein the driving behavior comprises face pictures of a driver and driving state of the heavy-duty vehicle.
In some embodiments, obtaining the driving behavior of the heavy-duty vehicle in real time, comprising: pointing a first camera mounted on the heavy-duty vehicle at the driver to photograph the face of the driver in real time so as to obtain the face pictures of the driver, and obtaining the driving state of the heavy-duty vehicle by means of a second camera that photographs road surface, a GPS and a gyroscope. Specifically, the second camera may also be a vehicle-mounted camera, which is configured to photograph the distance between the heavy-duty vehicle and the preceding vehicle thereof. The GPS may obtain position and speed of the heavy-duty vehicle. The vehicle will have a strong impact when it accelerates or brakes suddenly, and the gyroscope may measure the accelerated speed of the vehicle movement and the inclination angle of the vehicle relative to the road, thereby judging the "three emergency" behaviors of the heavy-duty vehicle, comprising "sudden braking, sudden turning, and rapid accelerating". S102: determining whether the driving behavior is an unsafe behavior, if so, sending a voice prompt to the driver, and generating an abnormal event signal according to the unsafe behavior. In some embodiments, the unsafe behavior comprises, but is not limited to, emotions, smoking, making phone calls, dozing off, speeding, sudden braking, sudden turning, rapid accelerating, and an imminent collide with the preceding vehicle; wherein the emotions may comprise anger, mad, irritable, and other emotions that are not conducive to safe driving. In some alternative embodiments, determining whether the driving behavior is an unsafe behavior, if so, sending a voice prompt to the driver, and generating an abnormal event signal according to the unsafe behavior, comprising: analyzing the obtained driving behavior through algorithms, and determining in real time whether the current driving behavior is anger, mad, irritable, or other emotions that are not conducive to safe driving, whether the driver is smoking, making a phone call, or dozing off, and so on, whether the vehicle speed is greater than a preset threshold, and whether the vehicle has actions like sudden braking, sudden turning, and rapid accelerating, and analyzing whether the current vehicle is about to collide with the preceding vehicle according to the photos taken by the second camera; if the current driving behavior is an unsafe behavior, a voice prompt will be sent to the driver to prompt the driver to drive safely, and a corresponding abnormal event signal will be generated according to the above unsafe behavior that occurred, and the abnormal event signal will be uploaded to a database through the "4G" wireless network. S103: responding to the abnormal event signal, and performing corresponding deduction processing on the driver according to the abnormal event signal to obtain driving score.
In some embodiments, in step S103, an initial score value of 100 may be set for the driver, and when the abnormal event signal occurs, the driver will be deducted according to different score (such as 2 points deducted for smoking, 5 points deducted for making phone calls, 10 points deducted for dozing off, etc.) corresponding to each abnormal event signal to obtain the current driving score. In some embodiments, after responding to the abnormal event signal, and performing corresponding deduction processing on the driver according to the abnormal event signal to obtain driving score, the method further comprises: sending the driving score, the position and speed of the heavy duty vehicle to a background network terminal and a client terminal; wherein the background network terminal is provided for the background safety officer to view, and the client terminal is provided for the driver to view. S104: adopting a corresponding processing mechanism according to the is driving score. In some embodiments, adopting a corresponding processing mechanism according to the driving score, comprising: when the driving score is greater than or equal to a first score value (such as 80 points), a voice broadcast prompt may be directly sent every time the score is deducted (i.e., the unsafe behavior occurs) to prompt the driver to pay attention to driving safety; when the driving score is lower than the first score value (such as 80 points), a prompt message is sent, wherein the prompt message may comprise prompting a safety officer to check the driving behavior of the heavy-duty vehicle, and to voice chat with the driver to confirm the state of the driver; and when the driving score is lower than a second score value (such as 60 points), an alarm is sent and the driver is prompted to be disqualified from driving on that day, wherein the second score value is less than the first score value. Through adopting corresponding measures, it is not only a simple deduction of points for drivers, but also takes the initiative to prevent the occurrence of accidents from the perspective of the drivers. The embodiment of the present invention further provides a system for driving safety early warning of a heavy-duty vehicle on bridge construction road, which may comprise: an acquisition module, which is configured to obtain driving behavior of a heavy-duty vehicle in real time, wherein the driving behavior comprises face pictures of a driver and driving state of the heavy-duty vehicle; an intelligent analysis module, which is configured to determine whether the driving behavior is an unsafe behavior, if so, send a voice prompt to the driver, and generate an abnormal event signal according to the unsafe behavior; a data processing module, which is configured to respond to the abnormal event signal, and perform corresponding deduction processing on the driver according to the abnormal event signal to obtain driving score; and a human-computer interaction module, which is configured to adopt a corresponding processing mechanism according to the driving score. In some embodiments, the acquisition module may comprise: a first camera, which is mounted on the heavy-duty vehicle and configured to photograph the face of the driver in real time to obtain the face pictures of the driver; a second camera, which is mounted on the heavy-duty vehicle and configured to photograph road surface in real time to obtain road surface condition; a GPS, which is configured to obtain position and speed of the heavy-duty vehicle in real time; and a gyroscope, which is configured to obtain the behaviors of sudden braking, sudden turning, or rapid accelerating of the heavy-duty vehicle. In some alternative embodiments, the human-computer interaction module may comprise a background network terminal and a client terminal respectively communicatively connected with the data processing module, the background network terminal receives the driving score, the position and speed of the heavy-duty vehicle in real time, for the background safety officer to view, and at the same time, the client terminal receives the driving score, the position and speed of the heavy-duty vehicle in real time, for the driver to view. In some embodiments, when the driving score received by the human computer interaction module is lower than a first score value (such as 80 points), the background network terminal sends a prompt message, wherein the prompt message comprises prompting the safety officer to check the driving behavior of the heavy-duty vehicle, and to voice chat with the driver to confirm the state of the driver, which provides assistance for the management decision of the safety officer, at the same time, the client terminal may also send the prompt message for voice chat with the safety officer; and when the driving score received by the human-computer interaction module is lower than a second score value (such as 60 points), the client terminal sends an alarm and prompts the driver to be disqualified from driving on that day, at the same time, the background network terminal may also send an alarm to prompt the driver to be disqualified from driving on that day, wherein the second score value is less than the first score value. In this embodiment, the client terminal may be wirelessly connected to the background network terminal, so that the safety officer may communicate with the driver in real time. In some alternative embodiments, the unsafe behavior comprises, but is not limited to, emotions, smoking, making phone calls, dozing off, speeding, sudden braking, sudden turning, rapid accelerating, and an imminent collide with the preceding vehicle.
The principles of the method and system for driving safety early warning of a heavy-duty vehicle on bridge construction road provided by the embodiments of the present invention are as follows. Since the face pictures of the driver and the driving state of the heavy duty vehicle are collected during the driving process of the heavy-duty vehicle, it may be obtained in real time whether the current state of the driver will affect the normal driving and whether the vehicle is in a normal driving state, and from which the driving behavior of the heavy-duty vehicle may be further judged and analyzed, if the driving behavior is an unsafe behavior, the driver may be prompted in time, and the calculated driving score may be used to further determine corresponding measures for the driver. Therefore, the driver may be prompted in real time in the process of driving and linked with the background system to ensure that the driver is in good state and to ensure the safety in driving, thereby reducing the accidents of car crashes is and human fatalities. In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "upper", "lower", etc. are based on the orientation or positional relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, instead of indicating or implying that the pointed device or element must have a specific orientation, be configured and operated in a specific orientation, therefore it may not be understood as a limitation of the present invention. Unless otherwise clearly specified and limited, the terms "installation","connected" and "connection" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; further may be a mechanical connection, or an electrical connection; further may be directly connected, or indirectly connected through an intermediate medium, or may be the internal communication between two components. For those of ordinary skill in the art, the specific meanings of the above-mentioned terms in the present invention may be understood according to specific circumstances. It should be noted that relational terms such as "first" and "second" are only for distinguishing one entity or operation from another entity or operation in the present invention, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements not only comprises those elements, but also comprises those that are not explicitly listed, or further comprises elements inherent to the process, method, article, or device. If there are no more restrictions, the elements defined by the sentence "comprising a..." does not exclude the existence of other same elements in the process, method, article, or device comprising the elements. The above-mentioned are only the embodiments of the present invention, so that those skilled in the art may understand or implement the present invention. For those skilled in the art, various modifications to these embodiments will be obvious, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown in this document, but will be subject to the widest scope consistent with the principles and novel features applied herein.
Claims (5)
- Claims 1. A method for driving safety early warning of a heavy-duty vehicle on bridge construction road, comprising the following steps: obtaining driving behavior of a heavy-duty vehicle in real time, wherein the driving behavior comprises face pictures of a driver and driving state of the heavy-duty vehicle; determining whether the driving behavior is an unsafe behavior, if so, sending a voice prompt to the driver, and generating an abnormal event signal according to the unsafe behavior; responding to the abnormal event signal, and performing corresponding deduction processing on the driver according to the abnormal event signal to obtain driving score; and adopting a corresponding processing mechanism according to the driving score.
- 2. The method for driving safety early warning of a heavy-duty vehicle on bridge construction road according to claim 1, wherein adopting a corresponding processing mechanism according to the driving score, comprising: when the driving score is lower than a first score value, a prompt message is sent, wherein the prompt message comprises prompting a safety officer to check the driving behavior of the heavy-duty vehicle, and to voice chat with the driver to confirm the state of the driver; and when the driving score is lower than a second score value, an alarm is sent and the driver is prompted to be disqualified from driving on that day, wherein the second score value is less than the first score value.
- 3. A system for driving safety early warning of a heavy-duty vehicle on bridge construction road, comprising: an acquisition module, which is configured to obtain driving behavior of a heavy-duty vehicle in real time, wherein the driving behavior comprises face pictures of a driver and driving state of the heavy-duty vehicle; an intelligent analysis module, which is configured to determine whether the driving behavior is an unsafe behavior, if so, send a voice prompt to the driver, and generate an abnormal event signal according to the unsafe behavior; a data processing module, which is configured to respond to the abnormal event signal, and perform corresponding deduction processing on the driver according to the abnormal event signal to obtain driving score; and a human-computer interaction module, which is configured to adopt a corresponding processing mechanism according to the driving score.
- 4. The system for driving safety early warning of a heavy-duty vehicle on bridge construction road according to claim 3, wherein the acquisition module comprises: a first camera, which is configured to photograph the face of the driver in real time to obtain the face pictures of the driver; a second camera, which is configured to photograph road surface in real time to obtain road surface condition; a GPS, which is configured to obtain position and speed of the heavy duty vehicle in real time; and a gyroscope, which is configured to obtain the behaviors of sudden braking, sudden turning, or rapid accelerating of the heavy-duty vehicle.
- 5. The system for driving safety early warning of a heavy-duty vehicle on bridge construction road according to claim 3, wherein when the driving score received by the human-computer interaction module is lower than a first score value, a background network terminal sends a prompt message, wherein the prompt message comprises prompting a safety officer to check the driving behavior of the heavy-duty vehicle and to voice chat with the driver to confirm the state of the driver; and when the driving score received by the human-computer interaction module is lower than a second score value, a client terminal sends an alarm and prompts the driver to be disqualified from driving on that day, wherein the second score value is less than the first score value.
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CN202110781598.2A CN113628415A (en) | 2021-07-08 | 2021-07-08 | Bridge construction pavement heavy-load vehicle driving safety early warning method and system |
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CN113859249A (en) * | 2021-10-22 | 2021-12-31 | 合众新能源汽车有限公司 | Intelligent feedback method and system based on vehicle running environment |
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CN114241758B (en) * | 2021-12-09 | 2023-05-30 | 中铁大桥局集团有限公司 | Bridge construction channel informatization management method |
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CN103770733B (en) * | 2014-01-15 | 2017-01-11 | 中国人民解放军国防科学技术大学 | Method and device for detecting safety driving states of driver |
CN104732785A (en) * | 2015-01-09 | 2015-06-24 | 杭州好好开车科技有限公司 | Driving behavior analyzing and reminding method and system |
DE102016205311A1 (en) * | 2016-03-31 | 2017-10-05 | Robert Bosch Gmbh | A method for providing a warning signal and method for generating a pre-second sleep pattern for detecting an imminent microsleep for a vehicle |
CN107563931A (en) * | 2017-08-16 | 2018-01-09 | 上海经达信息科技股份有限公司 | A kind of real-time driving behavior quality appraisal procedure of vehicle based on the Big Dipper or gps data |
CN109229016A (en) * | 2018-09-10 | 2019-01-18 | 深圳融易保数据运营有限公司 | Vehicle-mounted voice reminding method and system |
CN111564020A (en) * | 2020-04-01 | 2020-08-21 | 石化盈科信息技术有限责任公司 | Driving safety prevention and control system, storage medium and computer equipment |
CN112070927A (en) * | 2020-08-28 | 2020-12-11 | 浙江省机电设计研究院有限公司 | A system and method for analyzing microscopic driving behavior of expressway vehicles |
CN112896175B (en) * | 2021-01-13 | 2022-06-14 | 重庆市索美智能交通通讯服务有限公司 | Driving behavior analysis system and method |
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Date | Code | Title | Description |
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DA3 | Amendments made section 104 |
Free format text: THE NATURE OF THE AMENDMENT IS: AMEND THE INVENTION TITLE TO READ METHOD AND SYSTEM FOR DRIVING SAFETY EARLY WARNING OF HEAVY-DUTY VEHICLE ON BRIDGE CONSTRUCTION ROAD |
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FGI | Letters patent sealed or granted (innovation patent) |