CN105809370B - Scheduling method for accident emergency service personnel - Google Patents

Scheduling method for accident emergency service personnel Download PDF

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CN105809370B
CN105809370B CN201610216986.5A CN201610216986A CN105809370B CN 105809370 B CN105809370 B CN 105809370B CN 201610216986 A CN201610216986 A CN 201610216986A CN 105809370 B CN105809370 B CN 105809370B
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郭娅明
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Beijing Dcrossing Technology Co Ltd
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Abstract

The application discloses a scheduling method of accident emergency service personnel, which determines an accident occurrence probability index and a road congestion index for each road section and intersection according to accident occurrence historical data and road congestion historical data in a traffic planning region; according to the accident occurrence probability index and the principle of ensuring the accident emergency service time to be optimal, selecting standby places, and determining the emergency areas and the number of emergency service personnel corresponding to the standby places; determining the flowing patrol proportion of the emergency service personnel in each standby place according to the principle that the number of the flowing patrol is less when the road condition is worse and the number of the patrol is more when the accident occurrence rate is higher by using a fuzzy reasoning method according to the accident occurrence probability index and the road congestion index; for each standby place, dispatching the emergency service personnel to patrol the street according to the flowing patrol proportion and the number of the emergency service personnel; and when an accident occurs, dispatching the nearest emergency personnel for treatment. By adopting the invention, the response time of the insurance service can be shortened, and the scheduling efficiency can be improved.

Description

Scheduling method for accident emergency service personnel
Technical Field
The invention relates to a computer application technology, in particular to a scheduling method for accident emergency service personnel.
Background
With the continuous improvement of urban road construction and the great improvement of living standard and consumption capability of people, the reserve of motor vehicles in China is greatly improved, and the motor vehicles become one of the main transportation tools for goods transportation and daily trip and play an important role in the daily life of people. Meanwhile, the continuously accelerated life rhythm and the number of running vehicles are greatly increased, so that the accident rate of the vehicles is improved to a certain extent. In the vehicle accident handling process, the response time (the interval time between the accident occurrence and the arrival of the accident service personnel at the accident site) and the efficiency of the accident service are important standards for evaluating whether the accident service is reliable or not, and the lag of the response time and the low efficiency of the accident service cause a great deal of social time resource waste, so that the method has important practical significance on how to make an effective scheduling scheme for the accident service personnel.
Although most of the emergency service schedules in the current market are based on the principle that the response time of the emergency service is the minimum, the emergency place is generally obtained through a telephone and the like, and then an idle service person closest to the emergency place is selected to go to the emergency place for accident handling, the scheduling behavior of the service person is the time period after the accident occurs, and the service response time completely depends on the position of the service person. Therefore, the service response time is delayed, and the work efficiency of the emergency service personnel is low, so that the requirements of the accident emergency service cannot be met.
Therefore, the traditional accident emergency service personnel scheduling scheme has the problems of delayed response time of emergency service and low scheduling efficiency.
Disclosure of Invention
In view of the above, the present invention is directed to a method for dispatching accident emergency service personnel, which is beneficial to shorten the response time of the emergency service and improve the dispatching efficiency.
In order to achieve the purpose, the technical scheme provided by the invention is as follows:
a scheduling method of accident emergency service personnel comprises the following steps:
determining an accident occurrence probability index and a road congestion index for each road section and intersection in a traffic planning region according to accident occurrence historical data and road congestion historical data in the traffic planning region;
according to the accident occurrence probability index and the traffic network of the traffic planning area, selecting standby places for arranging the emergency service personnel from the candidate standby places according to a selection principle for ensuring the accident emergency service time to be optimal; determining the danger areas and the number of danger service personnel corresponding to the standby places;
determining the flowing patrol proportion of the emergency service personnel arranged on each standby place by utilizing a fuzzy reasoning method according to the accident occurrence probability index and the road congestion index and according to the principle that the number of the flowing patrol persons is less when the road condition is worse and the number of the patrol persons is more when the accident occurrence rate is higher;
for each standby place, scheduling the insurance service personnel to patrol the street in the insurance area corresponding to the standby place according to the corresponding flowing patrol proportion and the number of the insurance service personnel;
and when an accident occurs in the traffic planning area, dispatching the emergency personnel closest to the place where the accident is located to process the accident.
In summary, the scheduling method for emergency service personnel provided by the invention selects the standby places of the emergency service personnel according to the selection principle of ensuring the optimal emergency service time based on the historical accident occurrence data and the historical road congestion data in the traffic planning area, and determines the flow routing proportion of the emergency service personnel arranged on each standby place by using the fuzzy reasoning method according to the principle that the number of the flow routing personnel is less when the road condition is worse and the number of the routing personnel is more when the accident occurrence rate is higher, so that the response time of the emergency service can be effectively shortened, the work efficiency of the emergency service personnel can be ensured, and the scheduling efficiency can be improved.
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Fig. 1 is a schematic flow chart of a method according to a first embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
The core idea of the invention is as follows: the method is based on historical accident occurrence data and urban road condition data, aims to improve response time and efficiency of accident emergency service, provides a selection strategy of standby places of emergency service personnel on the basis of fully analyzing accident occurrence rules to guide the emergency service personnel to go to the optimal standby place, ensures the optimal time of the accident emergency service, and simultaneously determines the flow routing proportion of the emergency service personnel arranged on each standby place according to the principle that the number of the flow routing personnel is less when the road condition is worse and the number of the routing personnel is more when the accident occurrence rate is higher, so as to guide the service state of the emergency service personnel and ensure the working efficiency of the emergency service personnel.
Fig. 1 is a schematic flow chart of a first embodiment of the present invention, as shown in fig. 1, the first embodiment mainly includes:
step 101, according to accident occurrence historical data and road congestion historical data in a traffic planning area, determining an accident occurrence probability index and a road congestion index for each road section and each intersection in the traffic planning area.
The method comprises the following steps of obtaining accident occurrence probability indexes and road congestion indexes of all road sections and intersections in the area based on accident occurrence historical data and road congestion historical data in the traffic planning area. Therefore, by analyzing historical traffic data in the area, data reflecting accident occurrence rules of all road sections and intersections can be obtained, so that a proper standby place can be selected and the emergency service personnel can be guided to go to the optimal standby place in the subsequent steps, and the optimal accident emergency service time is ensured.
Specifically, for each road segment or intersection, the accident occurrence probability index and the road congestion index may be calculated by using an existing calculation method. For example, can be as follows
Figure GDA0002391243470000031
Calculating an accident occurrence probability index piWherein N is the number of days of the traffic accident within the statistical time period corresponding to the historical data, and N is the total number of days of the statistical time period corresponding to the historical data; can be as follows
Figure GDA0002391243470000032
Calculating road congestion index qiWherein z represents a road index issued in a statistical time period corresponding to the historical data, and z represents the road index issued in the statistical time period corresponding to the historical datamaxIs the maximum value of the road index. p is a radical ofiThe larger the value, the more likely it is to indicate an accident. q. q.siThe larger the value, the more the road congestion is indicatedSevere.
And 102, selecting standby places for arranging the emergency service personnel from the candidate standby places according to the accident occurrence probability index and the traffic network of the traffic planning area and a selection principle for ensuring the accident emergency service time to be optimal, and determining the emergency areas and the number of the emergency service personnel corresponding to the standby places.
In the step, the standby place for arranging the emergency service personnel is determined according to the selection principle of ensuring the optimal emergency service time, so that the standby place for arranging the emergency service personnel is ensured to be favorable for optimizing the emergency service time.
Preferably, this step can be implemented by the following method:
step 1021, combining the candidate standby places to obtain w groups of candidate standby places, where each group includes m candidate standby places, m is a preset standby place setting number, and w is a preset candidate standby place group number.
In this step, the candidate standby locations need to be grouped, so that a group most beneficial to optimizing the accident emergency service time is selected as the standby location for arranging the emergency service personnel in the subsequent step.
Here, w and m may be set by those skilled in the art according to actual needs. In practical applications, the w groups of candidate standby sites may be obtained by arranging and combining the candidate standby sites. That is, assuming that the total number of the candidate standby locations is M, M candidate standby location combinations are taken from the M candidate standby locations to obtain a group of candidate standby locations, and the number w of the obtained group of candidate standby locations is the number of all possible combinations, that is, the number w of the group of candidate standby locations is M
Figure GDA0002391243470000033
Step 1022, for each group of candidate standby places Y, within the range of the group of candidate standby places, for each intersection x in the traffic planning areaiCalculating the distance between the intersection and the nearest candidate standby place in the groupDistance Dist (x)iY); according to the Dist (x)iY) and intersection xiThe accident occurrence probability index piAccording to D (X, Y) ═ Max (p)i×Dist(xiY)), i ∈ {1, 2., n }, and calculating a worst accident response capability value D (X, Y) corresponding to the set of candidate standby places Y; and n is the total number of intersections in the traffic planning area.
In this step, for each group of candidate standby places Y, the distance Dist (x) from each intersection to the nearest candidate standby place in the group needs to be calculated firstiY), then according to Dist (x) of all intersectionsiY) and accident probability index piAccording to D (X, Y) ═ Max (p)i×Dist(xiY)), the worst accident response capability value D (X, Y) corresponding to the set of candidate standby location points Y is calculated. Here, pi×Dist(xiY) max means that the corresponding intersection is the site with the worst accident response capability among the set of candidate standby sites Y.
Step 1023, according to the D (X, Y) of all the candidate standby places, selecting a candidate standby place Y with the smallest D (X, Y)*As the standby place for arranging the emergency service personnel.
In this step, a group of candidate standby sites Y with the smallest accident response capability difference is selected*As the standby place for arranging the emergency service personnel. In this way, by ensuring that the worst value of the accident response capability of a group of standby sites for arranging emergency service personnel is minimized, the longest accident response time is reduced as much as possible, and thus the accident emergency service time can be effectively controlled and optimized.
By using the steps 1021-1023, a group of standby places Y for arranging the emergency service personnel can be determined*The longest accident response time can be ensured to be the shortest. In practical applications, in order to improve the operation efficiency, the group Y of candidate standby places can be solved by using a particle swarm algorithm*。
Step 1024, for the Y*Each of the standby sites
Figure GDA0002391243470000041
According to
Figure GDA0002391243470000042
Calculating the number C of the emergency service personnel corresponding to the standby placejAnd will satisfy:
Figure GDA0002391243470000049
the area corresponding to all the intersections is used as the standby place
Figure GDA0002391243470000043
The risk-taking area; wherein round [ · is]For the rounding-down function, g (α) is a judgment function, and when α is β, g (α) is 1, otherwise, g (α) is 0.
This step of calculating each place to be placed
Figure GDA0002391243470000044
Number of emergency service personnel C to be arrangedjIn particular according to
Figure GDA0002391243470000045
And calculating to obtain the result. Here, ,
Figure GDA0002391243470000046
mean time
Figure GDA0002391243470000047
That is to say that the position of the first electrode,
Figure GDA0002391243470000048
a group of standby sites Y determined for arranging the emergency service personnel*Middle to crossing xiThe nearest place of standby, and thus,
Figure GDA0002391243470000051
meaning that it will be on standby
Figure GDA0002391243470000052
Accident occurrence probability index p for all intersections of the nearest standby siteiSumming up, so that the number of emergency service personnel C to be deployedjI.e. the value rounded down for the result of the summation. To stand by at the place
Figure GDA0002391243470000053
The intersection being the nearest standby place means that the standby place is scheduled when actually taking a risk
Figure GDA0002391243470000054
The personnel in the system can ensure the shortest response time for taking out an emergency, so the areas corresponding to the intersections are taken as the standby places
Figure GDA0002391243470000055
In the emergency area and at the standby location
Figure GDA0002391243470000056
Corresponding insurance service personnel are arranged in the system, so that the purposes of effectively shortening insurance service response time and improving scheduling efficiency can be achieved. In addition, when the accident occurrence probability index of the intersection is higher, the required number of the emergency personnel is also larger, so that the personnel configured according to the accident occurrence probability index are also more, and therefore, the step of determining the number C of the emergency service personnel is adoptedjThe method and the system more meet the requirements of actual traffic conditions, so that the configuration of the number of the emergency service personnel is more reasonable, and the dispatching efficiency can be effectively improved.
And 103, determining the flowing patrol proportion of the emergency service personnel arranged on each standby place by using a fuzzy reasoning method according to the principle that the number of the mobile patrol persons is less when the road conditions are worse and the number of the mobile patrol persons is more when the accident occurrence rate is higher according to the accident occurrence probability index and the road congestion index.
In this step, in order to improve the working efficiency of the emergency service personnel, the mobile patrol proportion of the emergency service personnel on each standby site is determined by using the accident occurrence probability index and the road congestion index and adopting a fuzzy reasoning method according to the principle that the number of the mobile patrol is smaller when the road condition is worse and the number of the mobile patrol is larger when the accident occurrence rate is higher. Therefore, according to the road condition and the accident occurrence rate, the service condition of the service personnel can be simply, conveniently and efficiently specified.
Preferably, the following method may be adopted in this step to determine the proportion of the mobile patrol of the emergency service personnel arranged on each of the standby sites:
step 1031, for each standby place, determining the average value of the accident occurrence probability indexes of all the road sections in the dangerous area of the standby place as the accident occurrence probability index in the area of the standby place; and determining the average value of the road congestion indexes of all the road sections in the dangerous area of the standby place as the road congestion index in the area of the standby place.
In this step, the road condition characteristics of the emergency area of each standby place, that is, the intra-area accident probability index and the intra-area road congestion index, need to be determined, and these parameters are also determined according to the intra-area accident probability index and the intra-area road congestion index of each road section obtained in step 101.
Step 1032, for each standby place, reasoning according to the accident occurrence probability index in the area and the road congestion index in the area, a preset fuzzy rule, a preset membership function of each element in the traffic road condition fuzzy set, a preset membership function of each element in the accident occurrence probability fuzzy set and a preset membership function of each element in the patrol personnel proportional fuzzy set by adopting a Mamdani reasoning method; and performing defuzzification processing on the reasoning result by using a gravity center method to obtain the flowing tour proportion of the emergency service personnel in the standby place.
In the step, on the basis of obtaining the regional accident occurrence probability index and the regional road congestion index of each standby place, reasoning is performed by adopting a Mamdani reasoning method according to a preset fuzzy rule and a membership function corresponding to the fuzzy set, and after the reasoning is completed, the reasoning result is defuzzified by using a gravity method, so that the flow patrol proportion of the emergency service personnel in the standby place can be obtained.
In practical application, on the basis of a given fuzzy rule and a membership function corresponding to the fuzzy set, a Mamdani reasoning method is adopted for reasoning, and a gravity center method is utilized for defuzzifying the reasoning result, so as to obtain a specific method for the flow tour proportion of the emergency service staff in each standby place, which is mastered by the technicians in the field and is not described herein again.
Preferably, the fuzzy rule may specifically include the following rules:
if the traffic jam condition in the area is smooth and the accident occurrence probability is high, sending most service personnel to flow for patrol the street;
if the traffic jam condition in the area is smooth and the accident occurrence probability is normal, about half of service personnel are dispatched to flow for patrol the street;
if the traffic jam condition in the area is normal and the accident occurrence probability is high, about half of service personnel are dispatched to flow for patrol the street;
if the traffic jam condition in the area is normal and the accident occurrence probability is normal, about half of service personnel are dispatched to flow for patrol the street;
if the traffic jam condition in the area is seriously jammed, sending a few service personnel for flowing and patrolling the street;
if the accident occurrence in the area is low, a small number of service personnel are dispatched to flow for patrol.
Preferably, the fuzzy set of traffic conditions in this step is composed of smooth traffic, normal traffic jam condition and severe traffic jam; wherein,
the unobstructed membership function QA is:
Figure GDA0002391243470000061
the normal membership function QB of the traffic congestion condition is as follows:
Figure GDA0002391243470000062
the membership function QC of the severe congestion is as follows:
Figure GDA0002391243470000071
preferably, the fuzzy set of accident occurrence probabilities in this step is composed of lower, normal and higher; wherein,
the lower membership function PA is:
Figure GDA0002391243470000072
the normal membership function PB is:
Figure GDA0002391243470000073
the higher membership function PC is:
Figure GDA0002391243470000074
preferably, the patrolman proportional fuzzy set consists of a few parts, about a half part and a majority part; wherein,
the minority membership function RA is:
Figure GDA0002391243470000075
the membership function RB of about half is:
Figure GDA0002391243470000076
the majority of membership functions RC are:
Figure GDA0002391243470000077
and 104, for each standby place, scheduling the insurance service personnel to patrol the street in the insurance area corresponding to the standby place according to the corresponding flowing patrol street proportion and the number of the insurance service personnel.
And 105, when an accident occurs in the traffic planning area, dispatching the nearest risk personnel to the place where the accident is located to process the accident.
According to the scheme, the emergency service personnel standby places are selected according to the selection principle of ensuring the optimal emergency service time based on the historical accident occurrence data and the historical road congestion data in the traffic planning area, the flow routing proportion of the emergency service personnel arranged on each standby place is determined according to the principle that the number of the flow routing personnel is less when the road condition is worse and the number of the routing personnel is more when the accident occurrence rate is higher by using the fuzzy reasoning method, the response time of the emergency service can be effectively shortened, the working efficiency of the emergency service personnel is ensured, and the dispatching efficiency is improved.
In summary, the above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (3)

1. A scheduling method for accident emergency service personnel is characterized by comprising the following steps:
determining an accident occurrence probability index and a road congestion index for each road section and intersection in a traffic planning region according to accident occurrence historical data and road congestion historical data in the traffic planning region;
according to the accident occurrence probability index and the traffic network of the traffic planning area, selecting standby places for arranging emergency service personnel from candidate standby places according to a selection principle that the longest accident response time is ensured to be shortest, and determining an emergency area and the number of the emergency service personnel corresponding to each standby place;
determining the flowing patrol proportion of the emergency service personnel arranged on each standby place by utilizing a fuzzy reasoning method according to the accident occurrence probability index and the road congestion index and according to the principle that the number of the flowing patrol persons is less when the road condition is worse and the number of the patrol persons is more when the accident occurrence rate is higher;
for each standby place, scheduling the insurance service personnel to patrol the street in the insurance area corresponding to the standby place according to the corresponding flowing patrol proportion and the number of the insurance service personnel;
when an accident occurs in the traffic planning area, dispatching the emergency personnel closest to the place where the accident is located to process the accident;
wherein, the selecting standby places for arranging the emergency service personnel from the candidate standby places, and the determining the emergency areas and the number of the emergency service personnel corresponding to the standby places comprises:
dividing the candidate standby places into w groups, wherein each group comprises m candidate standby places, and m is the preset number of standby places;
for each group of candidate standby places Y, within the range of the group of candidate standby places, assigning each intersection x in the traffic planning areaiCalculating the distance Dist (x) between the intersection and the nearest candidate standby place in the groupiY); according to the Dist (x)iY) and intersection xiThe accident occurrence probability index piAccording to D (X, Y) ═ Max (p)i×Dist(xiY)), i ∈ {1, 2., n }, and calculating a worst accident response capability value D (X, Y) corresponding to the set of candidate standby places Y; wherein n is the total number of intersections in the traffic planning region;
according to the D (X, Y) of all the candidate standby places, selecting a candidate standby place Y with the smallest D (X, Y)*As the standby place for arranging the emergency service personnel;
Figure FDA0002391243460000011
location of a site
Figure FDA0002391243460000012
The risk-taking area; wherein round [ · is]For the rounding-down function, g (α) is a judgment function, and when α is β, g (α) is 1, otherwise, g (α) is 0.
2. The method of claim 1, wherein the determining the proportion of the flow tours of the emergency services personnel deployed on each of the on-standby sites comprises:
for each standby place, determining the average value of the accident occurrence probability indexes of all the road sections in the dangerous area of the standby place as the accident occurrence probability index in the area of the standby place; determining the average value of the road congestion indexes of all the road sections in the dangerous area of the standby place as the road congestion index in the area of the standby place;
for each standby place, reasoning according to the accident occurrence probability index in the area and the road congestion index in the area, a preset fuzzy rule, a preset membership function of each element in a traffic road condition fuzzy set, a preset membership function of each element in an accident occurrence probability fuzzy set and a preset membership function of each element in a patrol personnel proportion fuzzy set by adopting a Mamdani reasoning method; and performing defuzzification processing on the reasoning result by using a gravity center method to obtain the flowing tour proportion of the emergency service personnel in the standby place.
3. The method of claim 2, wherein the fuzzy rule comprises:
if the traffic jam condition in the area is smooth and the accident occurrence probability is high, sending most service personnel to flow for patrol the street;
if the traffic jam condition in the area is smooth and the accident occurrence probability is normal, about half of service personnel are dispatched to flow for patrol the street;
if the traffic jam condition in the area is normal and the accident occurrence probability is high, about half of service personnel are dispatched to flow for patrol the street;
if the traffic jam condition in the area is normal and the accident occurrence probability is normal, about half of service personnel are dispatched to flow for patrol the street;
if the traffic jam condition in the area is seriously jammed, sending a few service personnel for flowing and patrolling the street;
if the accident occurrence probability in the region is low, sending a few service personnel to flow and patrol the street;
the traffic road condition fuzzy set consists of smooth traffic, normal traffic jam and serious traffic jam; wherein,
the unobstructed membership function QA is:
Figure FDA0002391243460000021
the normal membership function QB of the traffic congestion condition is as follows:
Figure FDA0002391243460000022
Figure FDA0002391243460000023
the accident occurrence probability fuzzy set consists of a lower part, a normal part and a higher part; wherein,
the lower membership function PA is:
Figure FDA0002391243460000031
the normal membership function PB is:
Figure FDA0002391243460000032
the higher membership function PC is:
Figure FDA0002391243460000033
the patrolman proportional fuzzy set consists of a few parts, about a half part and a majority part; wherein,
the minority membership function RA is:
Figure FDA0002391243460000034
the membership function RB of about half is:
Figure FDA0002391243460000035
the majority of membership functions RC are:
Figure FDA0002391243460000036
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