阅读说明：本技术 出租车行驶轨迹监测及安全预警系统 (Taxi running track monitoring and safety early warning system ) 是由 詹姆斯·建俊·吴 陈嵘嵘 于 2019-03-11 设计创作，主要内容包括：本发明公开了一种出租车行驶轨迹监测及安全预警系统,所述系统根据行程起始坐标和终点坐标作出预期行车轨迹,实时监测出租车的行驶轨迹、获取车辆周边路况,并实时记录行程所处情况；所述系统采用危险累计算法计算各判断因子的危险分值以判断驾驶员是否驾驶行为安全,所述判断因子包括：驾驶轨迹以及其它外界危险因素,驾驶员个人信息及驾驶信用记录,乘客人数及性别等个人信息和行驶时间段等；所述系统根据所述危险累计值触发相对应等级警报。本发明的出租车行驶轨迹监测及安全预警系统,能对出租车驾驶行为进行有效的监控与预警,有利于保障乘客安全。(The invention discloses a taxi running track monitoring and safety early warning system, which is used for making an expected running track according to a starting coordinate and an end coordinate of a journey, monitoring the running track of a taxi in real time, acquiring road conditions around the taxi and recording the condition of the journey in real time; the system adopts a danger accumulation algorithm to calculate the danger score of each judgment factor so as to judge whether the driver is safe in driving behavior, and the judgment factors comprise: driving track and other external dangerous factors, personal information of driver and driving credit record, personal information of passenger number and sex, and driving time period; and the system triggers a corresponding grade alarm according to the risk accumulated value. The taxi driving track monitoring and safety early warning system can effectively monitor and early warn the driving behavior of the taxi, and is beneficial to guaranteeing the safety of passengers.)

1. A taxi driving track monitoring and safety early warning system is characterized in that the system makes an expected driving track according to a stroke starting coordinate and a stroke end coordinate, monitors the driving track of a taxi in real time, obtains road conditions around the taxi, and records the condition of the stroke in real time; the system adopts a danger accumulation algorithm to judge whether the driving intention of the driver is normal or not, and the formula is as follows: f (x) ═ f₀(x₀)+f₁(x₁)+f₂(x₂)+…+f_n(x_n) (x) is the total risk cumulative value of a trip, and (f) is the judgment factor score of the trip; one of the judgment factor scores f (x) corresponds to one judgment factor x, one of the judgment factors x havingAt least one condition;

the taxi running track monitoring and safety early warning system is provided with a multi-level danger alarm line, and when the total danger accumulated value F (x) of a trip is greater than each level danger alarm line, corresponding alarm is executed; the value of each level of danger alarm line is a fixed value, and is formulated and adjusted depending on big data of the past driving and events.

2. The system of claim 1, wherein the travel route is determined by a determination factor x, the system assigns a value to the determination factor x, the value is a set number of the determination factor x, and the system obtains a corresponding set determination factor score f (x) according to the number and accumulates a total risk cumulative value f (x).

3. The system of claim 1, wherein the determination factor x has a value, and the value varies according to the travel situation, and the value is calculated by a predetermined calculation formula to obtain a corresponding determination factor score f (x) and an accumulated total risk value f (x).

4. The system of claim 3, wherein one of the decision factors x is the number of kilometers from the expected route.

5. The system according to claim 2, wherein one of the judgment factors x is an objective factor forcing the driver to deviate from the expected driving track, and is divided into two cases according to whether the objective factor is positive or negative.

6. The system of claim 2, wherein x is a determination factor that the location or the surrounding area is a remote dangerous scene, and the determination factor is divided into two cases according to whether x is a remote dangerous scene.

7. The system of claim 2, wherein one of the judgment factors x is a record that the total risk cumulative value frequently exceeds or approaches a risk line or a risk report exists in about 30 days, and the system is divided into two cases according to whether the total risk cumulative value frequently exceeds or approaches the risk line or whether the total risk cumulative value exceeds or approaches the risk line.

8. The system of claim 2, wherein one of the determination factors x is the number of passengers and the gender of the passengers.

9. The taxi driving track monitoring and safety early warning system according to claim 2, wherein one of the judgment factors x is a driving time period, and is divided into: 6: 00 to 18: 00, 18: 00 to 24: 00, 24: 00 to 6: 00.

10. the taxi driving track monitoring and safety precaution system of claim 1, wherein the corresponding alarms of the multi-level danger alarm line are set as:

a first-level danger alarm line, wherein the system records the danger record;

a second-level danger alarm line for notifying dispatching security personnel by mail short messages;

a third-level danger alarm line for notifying dispatching safety personnel by an emergency broadcast telephone;

and the four-level danger alarm line is directly communicated with the public security system to carry out danger alarm.

Technical Field

The invention relates to a communication technology, in particular to a taxi running track monitoring and safety early warning system.

Background

Taxis are a common way of travel transportation for people, and recently, passengers have attracted more attention for personal safety during riding of taxis. Since a taxi is a relatively closed and narrow environment, once a safety problem occurs, if a taxi dispatching management system cannot predict or intervene in advance, personal safety of passengers is likely to be damaged. Therefore, how to guarantee the safety of passengers is a problem which needs to be concerned and solved urgently.

Most of the existing taxi running systems have the functions of navigation positioning and monitoring alarm, but the application of the alarm function depends on artificial judgment and operation. In practical application, because passengers have the possibility of not knowing the current road condition and the environment in the future, the perception of danger is very likely to be insensitive and untimely, and when facing danger, the passengers are also very likely to be unable to give an alarm in time, so that the utilization rate and the effectiveness of the alarm function are reduced.

In terms of alarm line setting, the existing hazard alarm is set singly, resulting in extremely high accuracy for threshold setting. If the threshold value of the danger line is too low, the alarm is more easily triggered, meanwhile, the alarm information is inaccurate due to the probability, if the threshold value of the danger line is higher, the alarm is more difficult to trigger, the danger is easily caused but the alarm is not triggered, and the value of alarm setting is lost.

In addition, although the conventional taxi running system has a function of background monitoring, since taxis are served for 24 hours, manual monitoring of the running state of each taxi not only consumes manpower and material resources, but also is easy to careless, so that the taxi running system is not an ideal solution.

Disclosure of Invention

The invention provides a taxi driving track monitoring and safety early warning system, which mainly aims to monitor the driving path of a taxi in real time, intelligently pre-judge the danger degree of the taxi where a passenger is located, give an alarm and prevent danger.

In order to achieve the purpose, the invention provides a taxi running track monitoring and safety early warning system, which is used for making an expected running track according to a starting coordinate and an end coordinate of a journey, monitoring the running track of the taxi in real time, acquiring road conditions around the taxi, and recording the condition of the journey in real time; the system adopts a danger accumulation algorithm to judge whether the driving intention of the driver is normal or not, and the formula is as follows: f (x) ═ f₀(x₀)+f₁(x₁)+f₂(x₂)+…+f_n(x_n) (x) is the total risk cumulative value of a trip, and (f) is the judgment factor score of the trip; a score f (x) of said judgment factorIn response to a decision factor x, at least one condition exists for one of said decision factors x;

the taxi running track monitoring and safety early warning system is provided with a multi-level danger alarm line, and when the total danger accumulated value F (x) of a trip is greater than each level danger alarm line, corresponding alarm is executed; the value of each level of danger alarm line is a fixed value, and is formulated and adjusted depending on big data of the past driving and events.

Specifically, the system assigns a numerical value to the judgment factor x when the condition of the trip falls into a condition of the judgment factor x, wherein the numerical value is a set number of the condition, and obtains a corresponding set judgment factor score f (x) according to the number and accumulates a total risk accumulation value f (x).

As a specific example, one of the judgment factors x is an objective factor forcing the driver to deviate from the expected driving track, and is divided into two cases according to the condition of yes or no.

As a specific example, x is a remote dangerous scene in the place or in the future, and is divided into two cases according to whether x is a remote dangerous scene or not.

As a specific example, one of the judgment factors x is that the total risk accumulated value frequently exceeds or approaches the record of the risk line or the risk report exists in about 30 days, and the judgment factor x is divided into two cases according to the existence or non-existence of the risk.

As a specific example, one of the determination factors x is the number of passengers and the sex of passengers.

As a specific example, one of the determination factors x is a driving time period, and is divided into: 6: 00 to 18: 00, 18: 00 to 24: 00, 24: 00 to 6: 00.

the judgment factor x may further include: and (3) registering information (gender, working age, school calendar and the like) of the driver, and counting according to big data to obtain an information combination with a higher risk coefficient as a condition option of a judgment factor.

Specifically, the taxi running track monitoring and safety early warning system is characterized in that the judgment factor x has a numerical value, the numerical value changes according to the condition of the journey, the numerical value obtains a corresponding judgment factor score f (x) through a set calculation formula, and a total risk accumulated value F (x) is accumulated.

As a specific example, one of the judgment factors x is the number of kilometers away from the expected route.

As a specific example, the corresponding alarms of the multi-level hazard alarm line set are:

a first-level danger alarm line, wherein the system records the danger record;

a second-level danger alarm line for notifying dispatching security personnel by mail short messages;

a third-level danger alarm line for notifying dispatching safety personnel by an emergency broadcast telephone;

and the four-level danger alarm line is directly communicated with the public security system to carry out danger alarm.

As a specific example, the big data refers to driving history data recorded by a system background and taxi crime event data provided by a public security system.

Compared with the prior art, the invention has the beneficial effects that:

the taxi running track monitoring and safety early warning system provided by the invention can intelligently and systematically monitor the taxi condition in real time, and autonomously make pre-judgment and alarm, so that manpower and material resources are saved, the utilization rate of an alarm system is improved, and the riding experience of passengers is safer; the system is provided with a plurality of levels of alarm lines, and each level is provided with a corresponding alarm measure, so that the accuracy and the utilization rate of the alarm of the system are higher, and the alarm value of the system is improved; in addition, in the application process of the system, along with the continuous updating and expansion of the database, the system can perform analysis calculation and simulation test according to recent related data, and adjust each parameter according to the accuracy rate, thereby ensuring the accuracy of the system.

Detailed Description

The technical solutions of the present invention will be described clearly and completely below, and it should be apparent that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.

The embodiment of the invention provides a taxi running track monitoring and safety early warning system, which is used for making an expected running track according to a starting coordinate and an end coordinate of a journey, monitoring the running track of a taxi in real time, acquiring road conditions around the taxi and recording the condition of the journey in real time; the system adopts a danger accumulation algorithm to judge whether the driving intention of the driver is normal or not, and the formula is as follows: f (x) ═ f₀(x₀)+f₁(x₁)+f₂(x₂)+…+f_n(x_n) (x) is the total risk cumulative value of a trip, and (f) is the judgment factor score of the trip; (x) a said judgment factor score f (x) corresponding to a judgment factor x, at least one condition of a said judgment factor x;

and for a part of judgment factors x, the judgment factors x have a numerical value, the numerical value changes according to the condition of the travel, the numerical value obtains corresponding judgment factor scores f (x) through a set calculation formula, and the total risk accumulated value F (x) is accumulated.

In this embodiment, f₀(x₀) Score, f, for the vehicle's current and future intersection surroundings₀(x₀)＝x₀*20,x₀In kilometers of deviation from the expected route.

For a part of judgment factors x, the condition of the travel falls into a condition of the judgment factors x, the system assigns a numerical value to the judgment factors x, the numerical value is the set number of the condition, the corresponding set judgment factor score f (x) is obtained according to the number, and the total risk cumulative value F (x) is accumulated.

In this embodiment, f₁(x₁) For driver personal information and driving credit records, x₁Recording the driving credit;

x₁the method comprises the following steps: whether a record that the total risk accumulated value frequently exceeds or approaches a risk line exists in 30 days or not and whether a risk report exists or not; in a different embodiment of the method according to the invention,can also increase and include: and (4) registering information of drivers such as sex, working age, school calendar and the like, and counting and setting danger scores corresponding to all combination options according to big data.

In this embodiment, f₂(x₂) Score, x, for passenger number and information₂For different combinations of passenger number and gender, the following table shows:

in this embodiment, f₃(x₃) As score of the time of travel, x₃Is a driving time interval;

6<＝x₃<18,f₃(x₃) 0, i.e. representing a risk score of 0 points from 6 am to 6 pm;

18<＝x₃<24,f₃(x₃) 50, namely, the danger score is 50 points from 6 pm to 24 pm;

0<＝x₃<6,f₃(x₃) 100, meaning that from 24 pm to 6 am, the risk score is 100.

However, the division of the travel time zone is not limited to this, and may be further subdivided with the support of large data. The probability of danger occurrence in each time period can be counted and calculated according to the taxi crime event data provided by the public security system.

In various embodiments, objective factor options that force the driver away from the expected trajectory may be added as needed, such as: whether traffic jam occurs or not and whether accidents occur or not; and the option of the risk level of the location itself, such as whether the location or future surroundings are remote risk scenes.

And when the total risk accumulated value F (x) of a stroke exceeds each multi-level risk alarm line, such as a first-level risk alarm line, a second-level risk alarm line, a third-level risk line and the like, the system automatically triggers corresponding alarm events at all levels.

In this embodiment, the dangerous lines at each stage are set as follows:

the first-level danger alarm line score is 45, and the system records the danger record;

the score of the secondary danger alarm line is 60 points, and the scheduling security personnel are notified by mail short messages;

the value of the three-level danger alarm line is 80 points, and emergency broadcast telephone informs dispatching security personnel;

and the four-level danger alarm line scores are 100, and the four-level danger alarm line is directly communicated with a public security system to carry out danger alarm.

The value of the danger alarm line is drawn up through the steps of carrying out real simulation calculation through big data, collecting relevant data in recent years, testing and finally carrying out value setting according to the accuracy. In actual application, simulation test is carried out by using a continuously expanded database according to actual influence factors, and parameter proportion is finely adjusted according to the accuracy of the test so as to provide the accuracy of the system.

In summary, the above embodiments are merely preferred embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalents, improvements, etc. made within the spirit and principle of the present invention should be included in the scope of the present invention.