CN103617734A - Method for identifying safety driving of highway vehicles based on time-history characteristics - Google Patents
Method for identifying safety driving of highway vehicles based on time-history characteristics Download PDFInfo
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- CN103617734A CN103617734A CN201310687217.XA CN201310687217A CN103617734A CN 103617734 A CN103617734 A CN 103617734A CN 201310687217 A CN201310687217 A CN 201310687217A CN 103617734 A CN103617734 A CN 103617734A
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Abstract
The invention discloses a method for identifying safety driving of highway vehicles based on time-history characteristics. The method comprises the following steps that a node set for analyzing time-history characteristic data of the highway vehicles is established, wherein the node set is composed of a plurality of nodes; a continuous driving time numerical value of the vehicles in each continuous driving road section and a resting time numerical value of the vehicles in each parking region are calculated according to a value of a moment at which the vehicles passes through each node; identity identification data of vehicle drivers are respectively obtained according to an entrance node and an exit node of each parking region and whether the drivers of the vehicles are replaced or not in each parking region is judged; the continuous driving time numerical value of the vehicles in each continuous driving road section, the resting time numerical value of the vehicles in each parking region and whether a driver replacing condition of the vehicles exists in each parking region are combined to judge whether the vehicle drivers drive with fatigues or not. The method can be used for effectively and accurately identifying whether the passing vehicles on a highway have dangerous driving behaviors including fatigue driving, furious driving and the like or not.
Description
Technical field
The present invention relates to a kind of vehicle on highway safety traffic recognition methods, especially a kind of vehicle on highway safety traffic recognition methods based on time-histories feature, belongs to expressway safety management domain.
Background technology
Along with the expansion of freeway network and the sharply rising of vehicle flowrate, the safety management problem that relates to huge vehicle flowrate has become one of highway and traffic safety administrative authority key issue urgently to be resolved hurrily, particularly the identification for hazardous acts such as vehicle drive personnel's fatigue driving, furious drivings does not have a kind of effective computational analysis means especially, so that is difficult to support for the relevant supervision department dynamics of Strengthening Safety Management provides strong quantized data.For this reason, current relevant supervision department only can call by safety, the behavior such as the prompting of going on a journey, node monitoring is guided and restriction driver avoids carrying out dangerous driving.The weak point of which is mainly reflected in the following aspects:
1) characteristic current and wagon flow complexity has determined that highway easily exists multiple potential safety hazard at a high speed, particularly for passenger stock and goods stock, its business of take is fundamental purpose, within the shortest time, completing transport task is its critical path that improves operation income, its industry attribute has determined the characteristic of vehicle high-strength working to a great extent, and current adopted peace pipe measures for the supervision all belong to the control device of passive type, its practical function is very faint;
2) in such treatment measures, lack quantization limits index and guide, particularly in actual vehicle driving process, how to differentiate driver's fatigue driving, furious driving etc., thereby cause the strong and shortcoming conviction power of supervision;
3), although current highway has arranged some pick-up units, because these devices mainly be take section detection as main, as long as be familiar with, its installation site can get around vehicle driver easily or deceleration is ahead of time avoided reporting to the authorities.Therefore, be not difficult to find these pick-up units to the hypervelocity behavior monitoring of vehicle and catch still comprehensive not.
Summary of the invention
The object of the invention is in order to solve the defect of above-mentioned prior art, a kind of vehicle on highway safety traffic recognition methods based on time-histories feature is provided, whether the traffick that the method can identify on highway there is the dangerous driving behaviors such as fatigue driving, furious driving, for strengthening vehicle on highway security control dynamics, provides direct basis.
Object of the present invention can be by taking following technical scheme to reach:
Vehicle on highway safety traffic recognition methods based on time-histories feature, is characterized in that described method comprises:
Set up for analyzing the set of node of vehicle on highway time-histories characteristic, this set of node consists of several nodes;
The moment according to vehicle by each node is worth, if be lasting running section between adjacent two nodes, calculates vehicle at the lasting running time numerical value of this lasting running section; If adjacent two nodes are respectively Ingress node and the Egress node of stopping district, calculate the time of having a rest numerical value of vehicle in this stops district;
According to stopping the Ingress node in district and vehicle driver's identification data that Egress node obtains respectively at each, judge whether vehicle exists driver to substitute in each stop district;
In conjunction with vehicle, at the lasting running time numerical value of each lasting running section, time of having a rest numerical value and the vehicle that vehicle is stopped district at each, in each stop district, whether exist driver to substitute situation, judge whether vehicle driver is fatigue driving.
As a kind of embodiment, if between adjacent two nodes for continuing running section, vehicle at the lasting running time numerical value of this lasting running section by vehicle the moment value by next node deduct vehicle by the moment value of a node calculate.
As a kind of embodiment, if adjacent two nodes are respectively Ingress node and the Egress node of stopping district, by vehicle, the moment value by the Egress node in this stop district deducts the moment value of vehicle by the Ingress node in this stop district and calculates the time of having a rest numerical value of vehicle in this stop district.
As a kind of embodiment, whether the described vehicle driver of judgement is fatigue driving, specific as follows:
If exist vehicle to be greater than 4 hours at the lasting running time numerical value of some lasting running sections, judgement vehicle driver is fatigue driving;
If exist vehicle to equal 4 hours at the lasting running time numerical value of some lasting running sections, and the time of having a rest numerical value in corresponding stop district is less than 20 minutes, and judgement vehicle driver is fatigue driving;
If vehicle is less than 4 hours at the lasting running time numerical value of each lasting running section, and while existing vehicle driver to occur to substitute in some stops district, if the lasting running time numerical value sum of last position vehicle driver's steering vehicle by all lasting running sections is more than or equal to 4 hours and the time of having a rest numerical value sum in all stops district of vehicle before described some stops district is less than 20 minutes, judge that last position vehicle driver is fatigue driving; If the lasting running time numerical value sum of rear vehicle driver's steering vehicle by all lasting running sections is more than or equal to 4 hours and the time of having a rest numerical value sum in all stops district of vehicle before described some stops district is less than 20 minutes, judge that a rear vehicle driver is for fatigue driving.
As a kind of embodiment, described method also comprises:
The highest safety speed-limit according to the mileage numerical value of each lasting running section and each lasting running section regulation, calculates each lasting running section at the vehicle shortest route time numerical value that overspeed situation is not issued to;
Lasting running time numerical value by vehicle at each lasting running section compares at the vehicle shortest route time numerical value that overspeed situation is not issued to each lasting running section respectively, if exist vehicle to be less than this lasting running section at the vehicle shortest route time numerical value that overspeed situation is not issued at the lasting running time numerical value of some lasting running sections, judgement vehicle is furious driving.
As a kind of embodiment, if exist the highest safety speed-limit of regulation in some lasting running sections identical, this lasting running section is that the highest safety speed-limit of being stipulated divided by this lasting running section by the mileage numerical value of this lasting running section calculates at the vehicle shortest route time numerical value that overspeed situation is not issued to.
As a kind of embodiment, if having some lasting running sections is plugged into and forms in incomplete same or completely not identical little section by several the highest safety speed-limits, first obtain the mileage numerical value in each little section, again by the mileage numerical value in each little section respectively divided by the highest safety speed-limit corresponding with each path section, obtain the shortest route time numerical value in each little section, this lasting running section is that shortest route time numerical value addition calculation by all little sections obtains at the vehicle shortest route time numerical value that overspeed situation is not issued to.
As a kind of embodiment, described method also comprises:
If described vehicle is passenger stock, the moment according to passenger stock by each node is worth, and judges whether passenger stock meets the requirement of the highway of restricting driving night.
As a kind of embodiment, described according to passenger stock, the moment by each node is worth, and judges that the requirement whether passenger stock meets the highway of restricting driving night is specially:
If exist the moment value of passenger stock by some nodes in the forbidding in transit time section at night of highway or vehicle supervision department's defined, judgement passenger stock is violated the requirement of the highway of restricting driving night.
As a kind of embodiment, described node is that vehicle is easy to identify the locality that vehicle was worth by the moment when highway is current, and wherein first node is positioned at the porch of charge station, and last node is positioned at the exit of charge station.
The present invention has following beneficial effect with respect to prior art:
Whether the traffick that 1, the inventive method can identify on highway efficiently and accurately there is the dangerous driving behaviors such as fatigue driving, furious driving, and whole identifying by quantizating index for supporting, thereby provide strong condition for the effective execution of Supervision Measures and the raising of convincing power thereof.
2, the inventive method can know that vehicle is at the lasting running time numerical value of each lasting running section, vehicle is stopped the time of having a rest numerical value in district at each, the mileage numerical value of each lasting running section, each lasting running section is in the vehicle vehicle time-histories characteristics such as shortest route time numerical value that overspeed situation is not issued to, according to these time-histories characteristics, can identify the whether dangerous driving behavior of vehicle, the instantaneous time-histories characteristic of more current node monitoring gained is more representative, and meet < < law on road traffic safety implementing regulations > > to the definition of dangerous driving and requirement.
3, the inventive method mainly the vehicle time data analysis based on each node calculate and identify the whether dangerous driving of vehicle, and central most of data, as the porch of charge station, stop porch, district, the moment value etc. of stopping the exit of exit, district and charge station can be provided by existing highway tolling system, therefore, being applied to actual cost scale of input also will be comparatively economical.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of the highway of application the inventive method.
Embodiment
Embodiment 1:
The time parameter of the present embodiment adopts minute as unit.
As shown in Figure 1, vehicle enters highway from expressway access, altogether by way of 2n+2 node, by 2n+2 node, set up for analyzing the set of node of vehicle on highway time-histories characteristic, wherein node 1 is starting point (being the porch of charge station), node 2n+2 is terminal (being the exit of charge station), and node 2, node 4, node 6 ... node 2n is for stopping the Ingress node in district, node 1, node 3, node 5, node 7 ... node 2n+1 is for stopping the Egress node in district, wherein node 1 and node 2, node 3 and node 4, node 5 and node 6 ... node 2n+1 and node 2n+2 form respectively lasting running section, total n+1, t
w(w is positive integer, w ∈ 1,2,3 ..., 2n+2, n>=0}) be worth for the moment of vehicle by each node.
For vehicle, at the lasting running time numerical value of each lasting running section of highway, be c
k, can according to vehicle, the moment by above-mentioned each node be worth, according to following formula, calculate and obtain:
C
k=t
2k-t
2k-1(k is positive integer, k ∈ 1,2,3 ..., n+1, n>=0});
And, with C, represent that vehicle is in the set of the lasting running time numerical value of each lasting running section of highway:
C={c
k|k∈{1，2，3，…，n+1，n≥0}。
If vehicle is once stopped district at n on the way and (is stopped district 1, stops district 2 ... stop district n) in, stop the time of having a rest numerical value m for vehicle in each stops district
j, can, according to vehicle through stopping the moment value of district's Ingress node and Egress node, according to following formula, calculate and obtain:
M
j=t
2j+1-t
2j(j is positive integer, j ∈ 1,2,3 ..., n, n>=0});
And, with M represent vehicle on the way each of process stop the time of having a rest numerical value set in district:
M={m
j|j∈{1，2，3，…，n，n≥0}。
Whether according to above-mentioned computing formula, obtain vehicle and stop the time of having a rest numerical value set M in district in each of the set C of the lasting running time numerical value of each lasting running section of highway and vehicle on the way process, can be that fatigue driving judges to vehicle driver by following steps:
1) if there is arbitrary element c in set C
k> 240, can judge that vehicle driver exists fatigue driving;
2) if there is arbitrary element c in set C
k=240, and in M, also there is a corresponding element and this element m in it
k< 20, can judge that vehicle driver exists fatigue driving;
3) if gather arbitrary element c in C
k< 240, and vehicle travels to the process of node z from node u, exist driver's first in the stop district of approach p, to be replaced by driver's second (stopping the Ingress node of district p and vehicle driver's identification data that Egress node obtains respectively not identical), so:
When u is even number, if
and
vehicle driver's first is travelled to stopping in this LAP of district p entrance at node u, has fatigue driving;
When u is odd number, if
and
vehicle driver's first is travelled to stopping in this LAP of district p entrance at node u, has fatigue driving;
When z is even number, if
and
vehicle driver's second is travelled to this LAP of node z in stop district p outlet, has fatigue driving;
When z is odd number, if
and
vehicle driver's second is travelled to this LAP of node z in stop district p outlet, has fatigue driving;
Wherein, if u value is 1, described node u can be considered the starting point that vehicle enters highway, if z value is 2n+2, described node z can be considered the terminal that vehicle leaves highway.
If vehicle continues the distance travelled S of running section on highway
k(k is positive integer, k ∈ 1,2,3 ..., n+1, n>=0}) and be by the incomplete same path section s of several the highest safety speed-limits
r(r ∈ 1,2,3 ...) plugging into forms, i.e. S
k=∑ s
r, arbitrary path section s
rthe highest corresponding safety speed-limit is v
r.
According to above-mentioned numerical value, can judge in the following manner whether vehicle exists furious driving behavior:
If there is arbitrary element c in C
k, its corresponding mileage numerical value S that continues running section
kshortest route time value
time, can judge that automobile storage is in furious driving.
For guaranteeing passenger stock safety traffic on highway, passenger stock may be forbidden at running on expressway within some time period.For such situation, can utilize vehicle to judge with the mode that night, transit time Interval Set A compared of forbidding at highway or vehicle supervision department's defined by the moment value of some nodes, while being tw ∈ A, can judge that this passenger stock violated the restrict driving night requirement of highway of relevant departments' passenger stock.
The above; it is only patent preferred embodiment of the present invention; but the protection domain of patent of the present invention is not limited to this; anyly be familiar with those skilled in the art in the disclosed scope of patent of the present invention; according to the present invention, the technical scheme of patent and patent of invention design thereof are equal to replacement or are changed, and all belong to the protection domain of patent of the present invention.
Claims (10)
1. the vehicle on highway safety traffic recognition methods based on time-histories feature, is characterized in that described method comprises:
Set up for analyzing the set of node of vehicle on highway time-histories characteristic, this set of node consists of several nodes;
The moment according to vehicle by each node is worth, if be lasting running section between adjacent two nodes, calculates vehicle at the lasting running time numerical value of this lasting running section; If adjacent two nodes are respectively Ingress node and the Egress node of stopping district, calculate the time of having a rest numerical value of vehicle in this stops district;
According to stopping the Ingress node in district and vehicle driver's identification data that Egress node obtains respectively at each, judge whether vehicle exists driver to substitute in each stop district;
In conjunction with vehicle, at the lasting running time numerical value of each lasting running section, time of having a rest numerical value and the vehicle that vehicle is stopped district at each, in each stop district, whether exist driver to substitute situation, judge whether vehicle driver is fatigue driving.
2. the vehicle on highway safety traffic recognition methods based on time-histories feature according to claim 1, it is characterized in that: if between adjacent two nodes for continuing running section, vehicle at the lasting running time numerical value of this lasting running section by vehicle the moment value by next node deduct vehicle by the moment value of a node calculate.
3. the vehicle on highway safety traffic recognition methods based on time-histories feature according to claim 1, it is characterized in that: if adjacent two nodes are respectively Ingress node and the Egress node of stopping district, by vehicle, the moment value by the Egress node in this stop district deducts the moment value of vehicle by the Ingress node in this stop district and calculates the time of having a rest numerical value of vehicle in this stop district.
4. the vehicle on highway safety traffic recognition methods based on time-histories feature according to claim 1, is characterized in that: whether the described vehicle driver of judgement is fatigue driving, specific as follows:
If exist vehicle to be greater than 4 hours at the lasting running time numerical value of some lasting running sections, judgement vehicle driver is fatigue driving;
If exist vehicle to equal 4 hours at the lasting running time numerical value of some lasting running sections, and the time of having a rest numerical value in corresponding stop district is less than 20 minutes, and judgement vehicle driver is fatigue driving;
If vehicle is less than 4 hours at the lasting running time numerical value of each lasting running section, and while existing vehicle driver to occur to substitute in some stops district, if the lasting running time numerical value sum of last position vehicle driver's steering vehicle by all lasting running sections is more than or equal to 4 hours and the time of having a rest numerical value sum in all stops district of vehicle before described some stops district is less than 20 minutes, judge that last position vehicle driver is fatigue driving; If the lasting running time numerical value sum of rear vehicle driver's steering vehicle by all lasting running sections is more than or equal to 4 hours and the time of having a rest numerical value sum in all stops district of vehicle before described some stops district is less than 20 minutes, judge that a rear vehicle driver is for fatigue driving.
5. the vehicle on highway safety traffic recognition methods based on time-histories feature according to claim 1, is characterized in that described method also comprises:
The highest safety speed-limit according to the mileage numerical value of each lasting running section and each lasting running section regulation, calculates each lasting running section at the vehicle shortest route time numerical value that overspeed situation is not issued to;
Lasting running time numerical value by vehicle at each lasting running section compares at the vehicle shortest route time numerical value that overspeed situation is not issued to each lasting running section respectively, if exist vehicle to be less than this lasting running section at the vehicle shortest route time numerical value that overspeed situation is not issued at the lasting running time numerical value of some lasting running sections, judgement vehicle is furious driving.
6. the vehicle on highway safety traffic recognition methods based on time-histories feature according to claim 5, it is characterized in that: if exist the highest safety speed-limit of regulation in some lasting running sections identical, this lasting running section is that the highest safety speed-limit of being stipulated divided by this lasting running section by the mileage numerical value of this lasting running section calculates at the vehicle shortest route time numerical value that overspeed situation is not issued to.
7. the vehicle on highway safety traffic recognition methods based on time-histories feature according to claim 5, it is characterized in that: if exist some lasting running sections to plug into and form in incomplete same or completely not identical little section by several the highest safety speed-limits, first obtain the mileage numerical value in each little section, again by the mileage numerical value in each little section respectively divided by the highest safety speed-limit corresponding with each path section, obtain the shortest route time numerical value in each little section, this lasting running section is that shortest route time numerical value addition calculation by all little sections obtains at the vehicle shortest route time numerical value that overspeed situation is not issued to.
8. the vehicle on highway safety traffic recognition methods based on time-histories feature according to claim 1, is characterized in that described method also comprises:
If described vehicle is passenger stock, the moment according to passenger stock by each node is worth, and judges whether passenger stock meets the requirement of the highway of restricting driving night.
9. the vehicle on highway safety traffic recognition methods based on time-histories feature according to claim 8, it is characterized in that: described the moment by each node is worth according to passenger stock, judge that the requirement whether passenger stock meets the highway of restricting driving night is specially:
If exist the moment value of passenger stock by some nodes in the forbidding in transit time section at night of highway or vehicle supervision department's defined, judgement passenger stock is violated the requirement of the highway of restricting driving night.
10. according to the vehicle on highway safety traffic recognition methods based on time-histories feature described in claim 1-9 any one, it is characterized in that: described node is that vehicle is easy to identify the locality that vehicle was worth by the moment when highway is current, wherein first node is positioned at the porch of charge station, and last node is positioned at the exit of charge station.
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| CN105957310A (en) * | 2016-05-24 | 2016-09-21 | 北京小米移动软件有限公司 | Rest prompting method, device and equipment in driving process |
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| CN114241760A (en) * | 2021-12-13 | 2022-03-25 | 江苏高速公路信息工程有限公司 | Intelligent service area big data fusion system and method |
| CN115497290A (en) * | 2022-09-15 | 2022-12-20 | 北京掌行通信息技术有限公司 | Individual behavior risk identification method and system for toughness improvement of traffic system |
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| CN103617734B (en) | 2016-08-17 |
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