CN102074119A - Geomagnetic detection-based self-organizing intelligent signal control method - Google Patents
Geomagnetic detection-based self-organizing intelligent signal control method Download PDFInfo
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Abstract
The invention relates to a geomagnetic detection-based self-organizing intelligent signal control method. The method comprises the following steps that: (1) a vehicle detector detects the traffic flow of each driveway entrance of an intersection and uploads traffic flow data to a signal controller or a background in real time; and (2) the signal controller or the background calculates the average saturation X of each signal phase driveway of the intersection, and controls traffic lights according to the average saturation X. In the method, the vehicle detector detects the traffic flow and uploads the traffic flow information data to the signal controller, and the signal controller calculates the average saturation X of each signal phase driveway of the intersection and controls the traffic lights by adopting a corresponding control mode according to different average saturation X. The method fully utilizes the time of green light, and can effectively eliminates a green light emptiness phenomenon of the intersection and improve traffic efficiency.
Description
Technical field
The present invention relates to a kind of intelligent signal control method, especially a kind of self-organization intelligent signal control method that detects based on earth magnetism.
Background technology
At present, the intelligent signal control system that be most widely used in the world, technology is comparatively ripe mainly comprises split, cycle, phase differential optimisation technique SCOOT (Split Cycle Offset Optimizing Technique), Sydney self-adaptation traffic control system SCATS (Sydney Coordinated Adaptive Traffic System) and transportation network research tool TRANSYT systems such as (Traffic Network Study Tool).Wherein, the phase place of SCOOT system can't increase and decrease automatically, and phase sequence can't change automatically, and is quite loaded down with trivial details during on-the-spot Installation and Debugging, for the volume of traffic near saturated or oneself through saturated traffic behavior, the control effect is unsatisfactory; The SCATS system does not have the real-time traffic model, but from existing plan, select the signal controlling parameter according to class saturation degree and integrated flow rate, limited the optimization degree of controlled variable, when selecting the phase differential scheme, no wagon flow real-time information feedback, reliability is low, can't detect queue length, is difficult to eliminate crowded; The TRANSYT system can't adapt to the dynamic change of traffic flow, and calculated amount is very big, is difficult to obtain the timing scheme of total optimization, needs a large amount of road network physical dimensions and the support of traffic flow data.
Summary of the invention
The object of the present invention is to provide a kind of can realize the crossing adaptive control, effectively improve the traffic efficiency at crossing and green light utilization factor, reduce the self-organization intelligent signal control method that detects based on earth magnetism of stop delay.
For achieving the above object, the present invention has adopted following technical scheme: a kind of self-organization intelligent signal control method that detects based on earth magnetism, and this method comprises the step of following order:
(1) wagon detector detects the vehicle flowrate of each track import of crossing, and this vehicle flowrate data in real time is uploaded to signal controlling machine or backstage;
(2) the average staturation X in each signal phase track, crossing is calculated on signal controlling machine or backstage, according to the size control traffic lights of average staturation X.
As shown from the above technical solution, the present invention utilizes wagon detector inspection vehicle flow, and the information of vehicle flowrate data are sent to signal controlling machine, signal controlling machine calculates the average staturation X in track, crossing according to information of vehicle flowrate, take the control corresponding mode to remove to control traffic lights according to different average staturation X, the present invention has utilized green time fully, can eliminate crossing green light sky effectively and put phenomenon, has improved traffic efficiency.
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Description of drawings
Fig. 1 is the arrangenent diagram of wagon detector and signal controlling machine among the present invention;
Fig. 2 is a workflow diagram of the present invention;
Fig. 3,4 is respectively full induction control mode among the present invention, partly responds to the control flow chart of control mode;
Fig. 5 is the control flow chart of adaptive control mode among the present invention.
Embodiment
A kind of self-organization intelligent signal control method that detects based on earth magnetism, this method comprises the step of following order: at first, wagon detector detects the vehicle flowrate of each track import of crossing, and this vehicle flowrate data in real time is uploaded to signal controlling machine 2; Then, signal controlling machine 2 calculates the average staturation X in track, crossing, according to the size control traffic lights of average staturation X, as shown in Figure 1.The saturation degree in each track becomes phase place saturation degree x, and average staturation X is the mean value of each phase place saturation degree x.
As shown in Figure 1, described wagon detector adopts wireless geomagnetism wagon detector 1, wireless geomagnetism wagon detector 1 is arranged in each two meters to five meters behind the stop line of track import, crossing, described signal controlling machine 2 is arranged in the side of crossing, the reception main frame of described wagon detector links to each other with the signal input part of signal controlling machine 2, and the signal output part of described signal controlling machine 2 links to each other with traffic lights.
Described signal controlling machine 2 was added up track, crossing flow value q and green time g every two hours, and by the formula average staturation
Calculate track, the crossing average staturation X in this time interval.
Total saturation degree of crossing is meant the intensity value that phase place reached that degree of saturation is the highest, and is not each phase place saturation degree sum, represents with x.Concerning whole crossing, if x＜1, then the saturation degree of whole phase places is also all less than 1.This means that this crossing will move under undersaturated condition, otherwise this crossing will be in saturated or hypersaturated state.
Wherein the computing formula of saturation degree, green time is as follows:
In the formula:
X-phase place saturation degree;
The N--lane capacity;
Q-track actual flow reduced value, the pcu/h of unit;
Maximum track flow value in phase place green time of q--;
G-phase place green time (s);
S-track saturated flow value, refer to when the one-time continuous green light in, on the crossing inlet road continuously fleet can be scaled maximum vehicle numbers of minibus, the pcu/h of unit by the entrance driveway stop line.
From formula (1) as can be seen, under the certain situation of track saturated flow value, flow is big more, green time is short more, and then saturation degree is high more; Flow is more little, green time is long more, and then saturation degree is low more.
If induction control mode control traffic lights are adopted in 0.4≤average staturation X＜0.6, signal controlling machine 2; If 0.6≤average staturation X＜1, signal controlling machine 2 adopts the adaptive control mode to control traffic lights; If multi-period fixed cycle control mode control traffic lights are adopted in average staturation X 〉=1, signal controlling machine 2.
As shown in Figure 5, when adopting the adaptive control mode, signal controlling machine 2 is once judged adjustment every 10 cycles, if 80%＜phase place saturation degree x＜90% is not then adjusted; Otherwise, adjust the green light timing g of this phase place, if phase place saturation degree x≤80%, then shorten the green light timing g of this phase place, if phase place saturation degree x 〉=90% then prolongs the green light timing g of this phase place, minimum green time≤green light timing g≤maximum green time.When vehicle flowrate reduced, the saturation degree of crossing reduced, and signal controlling machine 2 cycle time reduction by automations to reduce the stand-by period, reduce and incur loss through delay; When vehicle flowrate increased, the saturation degree of crossing improved, and system adjusts phase place green light transit time automatically, with the current benefit of each phase place of reasonable distribution, improved the crossing traffic efficiency.
When carrying out adaptive control, reach the highest for making the crossing traffic efficiency, the phase place saturation degree should remain on 80%-90%.Therefore according to fluctuations in discharge, as controlled variable, in time adjust the phase place green time with phase place saturation degree x, phase place saturation degree x is controlled between the 80%-90%, realize the crossing adaptive control, can effectively improve the traffic efficiency and the green light utilization factor at crossing, reduce stop delay.
Show after deliberation, if scheme conversion too frequent (less than 10min) then influences the stability of system and the stationarity of crossing traffic easily.Therefore, consider the real-time that vehicle flowrate changes, signal controlling machine 2 needed every 10 cycles, once judged adjustment in promptly 10～20 minutes, if phase place saturation degree x in (80%, 90%), does not then adjust, with the holding signal continuity; If phase place saturation degree x not in (80%, 90%), then adjusts the green light timing g of this phase place.When needs are adjusted crossing phase place green time,, get 10 cycles the phase place track flow maximal value (Q1 in (8 cycles of this sampling and last 2 cycles of last sampling) because the interior at certain time intervals fluctuation of flow is little, Q2, Q3, Q4, Q5, Q6, Q7, Q8, Q9, Q10) remove in the middle of maximal value and minimum value remake and on average draw phase place track flow value q, then, draw the green light timing g of this phase place, in order to guarantee to adjust the security of green time phase place saturation degree x=80% substitution formula (2), then g is at (Gmin, Gmax) between, even g＜Gmin, then g=Gmin, even g＞Gmin, then g=Gmax.
When adopting multi-period fixed cycle control mode, the green light timing g of each phase place is maximum green time.This moment, the crossing reached hypersaturated state, selected multi-period fixed cycle control mode, optimized the split of each phase place, increased the signal period at crossing, to dredge the traffic of blocking up in order stably, reduced secondary parking phenomenon.Wherein the fixed cycle controlling schemes adopts off-line Scheme Choice formula, and promptly traffic engineer preestablishes the oversaturated split scheme in multiple effective alleviation crossing according to crossing traffic amount situation, and suitable split scheme is selected according to the crossing saturation degree by system.
Shown in Fig. 3,4, described induction control mode is divided into full induction control mode and partly responds to control mode, if the subsidiary road vehicle flowrate is less, arranges wireless geomagnetism wagon detector 1 on major trunk roads, adopts and partly responds to control mode; Otherwise, on the primary and secondary arterial highway, all arrange wireless geomagnetism wagon detector 1, adopt full induction control mode.Select full induction or partly respond to control mode according to the saturation difference degree on two-phase dealings road, make full use of green time, effectively eliminate crossing green light sky and put phenomenon, improve traffic efficiency.
As Fig. 3, shown in 4, when employing is partly responded to control mode, major trunk roads show green light, judge whether the major trunk roads green light reaches the minimum green time of major trunk roads, if do not reach the minimum green time of major trunk roads, then return major trunk roads and show green light,, judge then whether major trunk roads have car if reach the minimum green time of major trunk roads, if major trunk roads do not have car, subsidiary road shows green light, if major trunk roads have car, then judges whether to arrive the maximum green time of major trunk roads, if reach the maximum green time of major trunk roads, subsidiary road shows green light, if do not reach the maximum green time of major trunk roads, returns major trunk roads and shows green light.
Shown in Fig. 3,4, when the full induction of employing control mode, major trunk roads show green light, judge whether major trunk roads have car,, then judge whether to arrive the maximum green time of major trunk roads if major trunk roads have car, if reach the maximum green time of major trunk roads, subsidiary road shows green light, if do not reach the maximum green time of major trunk roads, returns major trunk roads and shows green light; If major trunk roads do not have car, judge whether subsidiary road has car, if subsidiary road has car, subsidiary road shows green light, if subsidiary road does not have car, judges whether to reach the minimum green time of major trunk roads, if reach the minimum green time of major trunk roads, subsidiary road shows green light, if do not reach the minimum green time of major trunk roads, returns major trunk roads and shows green light.
Shown in Fig. 3,4, subsidiary road shows green light, judge whether subsidiary road has car, if subsidiary road has car, then judge whether to arrive the maximum green time of subsidiary road, if reach the maximum green time of subsidiary road, major trunk roads show green light, if do not reach the maximum green time of subsidiary road, return subsidiary road and show green light; If subsidiary road does not have car, judge whether major trunk roads have car, if major trunk roads have car, major trunk roads show green light, if major trunk roads do not have car, judge whether to reach the minimum green time of subsidiary road, if reach the minimum green time of subsidiary road, major trunk roads show green light, if do not reach the minimum green time of subsidiary road, return subsidiary road and show green light.
When phase place (especially left turn phase) saturation degree low excessively, i.e. phase place saturation degree x＜0.4, left turn phase merges with the phase place of keeping straight in the same way, to reduce green damage, improves traffic efficiency.Otherwise, when phase place (especially left turn phase) saturation degree higher, i.e. phase place saturation degree x＞0.5, left turn phase separates with the phase place of keeping straight in the same way, disturbs to reduce traffic.
The present invention moves all left and right sides after the time, form crossing average daily traffic volume curve and average day saturation curves (curve values that form every day averages gained again), and then the variation tendency of the measurable crossing volume of traffic in several days future and saturation degree, system then can carry out the scheme Self-learning control according to this variation tendency, selects suitable controlling schemes then automatically.
Claims (10)
1. self-organization intelligent signal control method that detects based on earth magnetism, this method comprises the step of following order:
(1) wagon detector detects the vehicle flowrate of each track import of crossing, and this vehicle flowrate data in real time is uploaded to signal controlling machine or backstage;
(2) the average staturation X in each signal phase track, crossing is calculated on signal controlling machine or backstage, according to the size control traffic lights of average staturation X.
2. the self-organization intelligent signal control method that detects based on earth magnetism according to claim 1, it is characterized in that: described wagon detector adopts the wireless geomagnetism wagon detector, the wireless geomagnetism wagon detector is arranged in each two meters to five meters behind the stop line of track import, crossing, described signal controlling machine is arranged in the side of crossing, the reception main frame of described wagon detector links to each other with the signal input part of signal controlling machine, and the signal output part of described signal controlling machine links to each other with traffic lights.
3. the self-organization intelligent signal control method that detects based on earth magnetism according to claim 1 is characterized in that: described signal controlling machine was added up track, crossing flow value q and green time g every two hours, and by the formula average staturation
Calculate track, the crossing average staturation X in this time interval.
4. the self-organization intelligent signal control method that detects based on earth magnetism according to claim 1 is characterized in that: if 0.4≤average staturation X＜0.6, signal controlling machine adopts induction control mode control traffic lights; If 0.6≤average staturation X＜1, signal controlling machine adopt the adaptive control mode to control traffic lights; If multi-period fixed cycle control mode control traffic lights are adopted in average staturation X 〉=1, signal controlling machine.
5. the self-organization intelligent signal control method that detects based on earth magnetism according to claim 4, it is characterized in that: when adopting the adaptive control mode, signal controlling machine is once judged adjustment every 10 cycles, if 80%＜phase place saturation degree x＜90% is not then adjusted; Otherwise, adjust the green light timing g of this phase place, if phase place saturation degree x≤80%, then shorten the green light timing g of this phase place, if phase place saturation degree x 〉=90% then prolongs the green light timing g of this phase place, minimum green time≤green light timing g≤maximum green time.
6. the self-organization intelligent signal control method that detects based on earth magnetism according to claim 4 is characterized in that: when adopting multi-period fixed cycle control mode, the green light timing g of each phase place is maximum green time.
7. the self-organization intelligent signal control method that detects based on earth magnetism according to claim 4, it is characterized in that: described induction control mode is divided into full induction control mode and partly responds to control mode, if the subsidiary road vehicle flowrate is less, on major trunk roads, arrange the wireless geomagnetism wagon detector, adopt and partly respond to control mode; Otherwise, on the primary and secondary arterial highway, all arrange the wireless geomagnetism wagon detector, adopt full induction control mode.
8. the self-organization intelligent signal control method that detects based on earth magnetism according to claim 7, it is characterized in that: when employing is partly responded to control mode, major trunk roads show green light, judge whether the major trunk roads green light reaches the minimum green time of major trunk roads, if do not reach the minimum green time of major trunk roads, then return major trunk roads and show green light, if reach the minimum green time of major trunk roads, judge then whether major trunk roads have car, if major trunk roads do not have car, subsidiary road shows green light, if major trunk roads have car, then judges whether to arrive the maximum green time of major trunk roads, if reach the maximum green time of major trunk roads, subsidiary road shows green light, if do not reach the maximum green time of major trunk roads, returns major trunk roads and shows green light.
9. the self-organization intelligent signal control method that detects based on earth magnetism according to claim 7, it is characterized in that: when the full induction of employing control mode, major trunk roads show green light, judge whether major trunk roads have car,, then judge whether to arrive the maximum green time of major trunk roads if major trunk roads have car, if reach the maximum green time of major trunk roads, subsidiary road shows green light, if do not reach the maximum green time of major trunk roads, returns major trunk roads and shows green light; If major trunk roads do not have car, judge whether subsidiary road has car, if subsidiary road has car, subsidiary road shows green light, if subsidiary road does not have car, judges whether to reach the minimum green time of major trunk roads, if reach the minimum green time of major trunk roads, subsidiary road shows green light, if do not reach the minimum green time of major trunk roads, returns major trunk roads and shows green light.
10. according to claim 7 or the 9 described self-organization intelligent signal control methods that detect based on earth magnetism, it is characterized in that: subsidiary road shows green light, judge whether subsidiary road has car, if subsidiary road has car, then judge whether to arrive the maximum green time of subsidiary road, if reach the maximum green time of subsidiary road, major trunk roads show green light, if do not reach the maximum green time of subsidiary road, return subsidiary road and show green light; If subsidiary road does not have car, judge whether major trunk roads have car, if major trunk roads have car, major trunk roads show green light, if major trunk roads do not have car, judge whether to reach the minimum green time of subsidiary road, if reach the minimum green time of subsidiary road, major trunk roads show green light, if do not reach the minimum green time of subsidiary road, return subsidiary road and show green light.
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