CN204423636U - Rob the vehicle peccancy behavioral value system of row left-hand lane - Google Patents
Rob the vehicle peccancy behavioral value system of row left-hand lane Download PDFInfo
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- CN204423636U CN204423636U CN201520131005.8U CN201520131005U CN204423636U CN 204423636 U CN204423636 U CN 204423636U CN 201520131005 U CN201520131005 U CN 201520131005U CN 204423636 U CN204423636 U CN 204423636U
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Abstract
The utility model relates to a kind of vehicle peccancy behavioral value system of robbing row left-hand lane, comprise master controller and lay respectively at Through Lane dead line, preset length position before distance Through Lane dead line, first vehicle detection subsystem of preset length position before distance left-hand lane dead line, second vehicle detection subsystem, 3rd vehicle detection subsystem, master controller is based on the first vehicle detection subsystem, the testing result of the second vehicle detection subsystem and the 3rd vehicle detection subsystem determines whether there is the vehicle peccancy behavior that row left-hand lane robbed by Through Lane vehicle.By the utility model, can detect accurately and efficiently and rob row left-hand lane act of violating regulations and associated vehicle information, for specification vehicle normal traveling behavior, cultivate driver's legal driving habits important guarantee be provided.
Description
Technical field
The utility model relates to traffic monitoring field, particularly relates to a kind of vehicle peccancy behavioral value system of robbing row left-hand lane.
Background technology
At present, every country is mainly concentrated the inspection of the act of violating regulations of current crossing vehicle and is aspects such as making a dash across the red light and bicycle lane travels, main cause is, makes a dash across the red light and vehicle that on bicycle lane, the vehicle that travels normally can travel to other and pedestrian bring huge accident potential.But, in fact, for the consideration of traffic efficiency, it is more late than the green light transit time of side Through Lane that the green light transit time of left-hand lane generally sets, thus in peak period, left-hand lane has often piled up a lot of vehicle waiting lamp, some drivers, in order to save transit time, are unwilling normally to wait lamp according to the rules, but select present Through Lane to travel, left side is turned to immediately, to occupy prior to the vehicle of lamp such as grade the track that keeps left when leaving Through Lane dead line.
Row left-hand lane robbed by the former vehicle at Through Lane act of violating regulations when signal lamp of turning left turns green also brings larger safety problem, on the one hand, destroy normal road traffic order, cause the abnormal traveling behavior of vehicle, the illegal driving habits of driver; On the other hand, robbing every trade is easily cause the vehicle collision in two tracks, not only unfair to the normal vehicle of lamp that waits, and brings potential safety hazard to the vehicle of the lamp such as normal.Therefore need to detect this act of violating regulations of robbing row left-hand lane, the normal traveling of specification vehicle, ensure the security that crossing is current and fairness.
In prior art, to rob the detection of the act of violating regulations of row left-hand lane very limited for the vehicle of Through Lane, even if having, the naked eyes being also only limited to traffic-police detect, such manual detection means not only inefficiency, and are difficult to evidence obtaining.The utility model provides a kind of vehicle peccancy behavioral value system of robbing row left-hand lane, takes the mode of detection of electrons automatically to detect act of violating regulations and the license board information of vehicles peccancy.
Utility model content
In order to solve the above-mentioned technical matters of robbing row left-hand lane and being difficult to detect, evidence obtaining is difficult, the utility model provides a kind of vehicle peccancy behavioral value system of robbing row left-hand lane, first in left-hand lane and the multiple detection sub-unit based on electromagnetic induction technology of Through Lane reasonable Arrangement making side, track, the testing result of the multiple detection sub-unit of comprehensive analysis, and judge whether to exist the act of violating regulations of robbing row left-hand lane with this, the license board information of vehicles peccancy is obtained finally by image recognition technology targetedly.
According to one side of the present utility model, provide a kind of vehicle peccancy behavioral value system of robbing row left-hand lane, be arranged on current crossing, rob the act of violating regulations of row left-hand lane when signal lamp of turning left turns green for detecting the former vehicle at Through Lane, described detection system comprises the first vehicle detection subsystem, second vehicle detection subsystem, 3rd vehicle detection subsystem and master controller, described first vehicle detection subsystem is positioned at Through Lane dead line place, described second vehicle detection subsystem is positioned at apart from preset length position before Through Lane dead line, described 3rd vehicle detection subsystem is positioned at apart from preset length position before left-hand lane dead line, described master controller and described first vehicle detection subsystem, described second vehicle detection subsystem is connected respectively with described 3rd vehicle detection subsystem, based on described first vehicle detection subsystem, the testing result of described second vehicle detection subsystem and described 3rd vehicle detection subsystem determines whether there is the vehicle peccancy behavior of robbing row left-hand lane.
More specifically, rob in the vehicle peccancy behavioral value system of row left-hand lane described, also comprise: signal lamp condition detecting device, be connected respectively with multiple signal lamp unit, the quantity of signal lamp unit is identical with the track quantity at described current crossing, multiple signal lamp unit and multiple tracks one_to_one corresponding, whether described signal lamp condition detecting device is current for green light exports the track sequence number in current track corresponding to the signal lamp unit of green light according to multiple signal lamp unit, image capture device, for carrying out image acquisition, to obtain vehicle image to the vehicle current at current crossing place, static storage device, various urgent by vehicle image template for prestoring, described is promptly promptly by image that vehicle is taken in advance to benchmark by vehicle image template, describedly promptly comprise benchmark ambulance and benchmark fire truck by the kind of vehicle, described static storage device has also prestored car plate upper limit gray threshold and car plate lower limit gray threshold, described car plate upper limit gray threshold and described car plate lower limit gray threshold for by the car plate in image and background separation, wireless communication interface, sets up bidirectional wireless data communication link with the control of traffic and road platform of far-end, to receive the steering order that described control of traffic and road platform issues, image processing equipment, be connected respectively with described image capture device and described static storage device, comprise vehicle type recognition unit, contrast strengthen unit, self-adaptation recursive filtering unit, gray processing processing unit, image segmentation unit and number-plate number recognition unit, described contrast strengthen unit is connected with described image capture device, for described vehicle image is performed contrast enhancement processing, obtain and strengthen image, described self-adaptation recursive filtering unit is connected with described contrast strengthen unit, for performing self-adaptation recursive filtering to described enhancing image, to obtain filtering image, described vehicle type recognition unit is connected respectively with described self-adaptation recursive filtering unit and described static storage device, vehicle pattern in described filtering image variously promptly to be mated by vehicle image template one by one with described, there is urgent that the match is successful and promptly pass through signals of vehicles by exporting during vehicle image template, what do not have that the match is successful promptly non-emergently passes through signals of vehicles by then exporting during vehicle image template, described gray processing processing unit is connected with described vehicle type recognition unit, receive non-emergent by described filtering image being carried out gray processing process during signals of vehicles, to obtain gray level image, described image segmentation unit is connected respectively with described gray processing processing unit and described static storage device, the pixel identification of gray-scale value in described gray level image between described car plate upper limit gray threshold and described car plate lower limit gray threshold is formed number plate image, described number-plate number recognition unit is connected with described image segmentation unit, based on the OCR recognizer preset, number-plate number identification is performed to described number plate image, to obtain the number-plate number of vehicles peccancy, described first vehicle detection subsystem comprises the first inductive coil, first oscillatory circuit, first frequency testing circuit and a RS232 serial line interface, described first oscillatory circuit is connected with described first inductive coil, when there being vehicle by described first inductive coil, described first inductive coil and carbody produce mutual inductance, described first oscillatory circuit oscillation frequency is caused to change, and when passing through without vehicle, described first oscillatory circuit oscillation frequency remains unchanged, described first frequency testing circuit is connected with described first oscillatory circuit, for detecting the oscillation frequency of described first oscillatory circuit, and when the oscillation frequency of change being detected, the first vehicle pass-through signal is sent by a described RS232 serial line interface, described second vehicle detection subsystem comprises the second inductive coil, second oscillatory circuit, second frequency testing circuit and the 2nd RS232 serial line interface, described second oscillatory circuit is connected with described second inductive coil, when there being vehicle by described second inductive coil, described second inductive coil and carbody produce mutual inductance, described second oscillatory circuit oscillation frequency is caused to change, and when passing through without vehicle, described second oscillatory circuit oscillation frequency remains unchanged, described second frequency testing circuit is connected with described second oscillatory circuit, for detecting the oscillation frequency of described second oscillatory circuit, and when the oscillation frequency of change being detected, the second vehicle pass-through signal is sent by described 2nd RS232 serial line interface, described 3rd vehicle detection subsystem comprises the 3rd inductive coil, 3rd oscillatory circuit, 3rd frequency detection circuit and the 3rd RS232 serial line interface, described 3rd oscillatory circuit is connected with described 3rd inductive coil, when there being vehicle by described 3rd inductive coil, described 3rd inductive coil and carbody produce mutual inductance, described 3rd oscillatory circuit oscillation frequency is caused to change, and when passing through without vehicle, described 3rd oscillatory circuit oscillation frequency remains unchanged, described 3rd frequency detection circuit is connected with described 3rd oscillatory circuit, for detecting the oscillation frequency of described 3rd oscillatory circuit, and when the oscillation frequency of change being detected, the 3rd vehicle pass-through signal is sent by described 3rd RS232 serial line interface, described master controller is connected respectively with described signal lamp condition detecting device, described first vehicle detection subsystem, described second vehicle detection subsystem, described 3rd vehicle detection subsystem, described image capture device and described image processing equipment, when receiving track sequence number that described signal lamp condition detecting device sends and being sequence number corresponding to left-hand lane and receiving described first vehicle pass-through signal, enter peccancy detection pattern, described master controller is in described peccancy detection pattern, start described image capture device and described image processing equipment to obtain the number-plate number of vehicles peccancy, and when receiving described second vehicle pass-through signal, send Through Lane running red light for vehicle signal, when receiving described 3rd vehicle pass-through signal, sending Through Lane vehicle and robbing row left-hand lane signal, wherein, described wireless communication interface is also connected with described master controller, for the number-plate number of described vehicles peccancy is wirelessly sent to described control of traffic and road platform, also send to described control of traffic and road platform for described Through Lane running red light for vehicle signal or described Through Lane vehicle are robbed row left-hand lane signal wireless.
More specifically, rob in the vehicle peccancy behavioral value system of row left-hand lane described, described wireless communication interface is the one in GPRS mobile communication interface, 3G mobile communication interface and 4G mobile communication interface.
More specifically, rob in the vehicle peccancy behavioral value system of row left-hand lane described, described vehicle type recognition unit, described contrast strengthen unit, described self-adaptation recursive filtering unit, described gray processing processing unit, described image segmentation unit or described number-plate number recognition unit adopt different fpga chips to realize respectively.
More specifically, rob in the vehicle peccancy behavioral value system of row left-hand lane described, described vehicle type recognition unit, described contrast strengthen unit, described self-adaptation recursive filtering unit, described gray processing processing unit, described image segmentation unit or described number-plate number recognition unit are integrated in same fpga chip.
More specifically, rob in the vehicle peccancy behavioral value system of row left-hand lane described, described image capture device also comprises illumination subelement, for the image acquisition of described image capture device provides floor light.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present utility model is described, wherein:
Fig. 1 is the block diagram of robbing the vehicle peccancy behavioral value system of row left-hand lane according to the utility model embodiment.
Fig. 2 is the block diagram of robbing the first vehicle detection subsystem of the vehicle peccancy behavioral value system of row left-hand lane according to the utility model embodiment.
Embodiment
Below with reference to accompanying drawings embodiment of robbing the vehicle peccancy behavioral value system of row left-hand lane of the present utility model is described in detail.
Usually, at larger current crossing place, the track arranged comprises turn lane, left-hand lane, Through Lane and right-hand lane, Turning travel is carried out for the vehicle adjusting travel direction in tune track, left-hand lane is used for vehicle and turns left curved moving ahead, right-hand lane is used for vehicle and turns right curved moving ahead, and Through Lane is used for vehicle and keeps straight on to dead ahead.Correspondingly, can arrange the signal lamp indicating equipment comprising multiple signal lamp subelement at so current crossing, driver must pass through according to the instruction of signal lamp indicating equipment, and the behavior of the instruction of violation signal lamp indicating equipment is all decided to be act of violating regulations.
Wherein, consider based on traffic efficiency, control of traffic and road department is not for right-hand lane arranges corresponding signal lamp subelement, after the signal lamp subelement that Through Lane is corresponding reddens, signal lamp subelement corresponding to left-hand lane turns green, immediately meanwhile, because through vehicles is usually many than curved vehicle of turning left, so the green time of signal lamp subelement corresponding to left-hand lane arranged is shorter, and the green time of signal lamp subelement corresponding to the Through Lane arranged is longer.Such signal lamp design is rational, but also there will be special circumstances when real road passes through, such as in front craspedodrome regional traffic control or peak period on and off duty, owing to selecting not predetermined so few of curved vehicle that turn left, also excessive inventory to cause the vehicle of the lamps such as left-hand lane, at this moment, some drivers can select to travel at Through Lane, and Through Lane dead line is left immediately after the signal lamp subelement that Through Lane is corresponding reddens, the left-hand lane switching to green light continues to travel.
The every trade of robbing of above-mentioned driver is have larger harmfulness, not only destroys normal traffic order, causes traffic intersection current unfair, and robs row and easily cause the accident.Thus, detecting this, to rob every trade be necessary, but the checkout facility that current shortage is such, control of traffic and road department may just adopt the mode of manual detection to punish regulations vehicle when road congestion, inadequate to this act of violating regulations hitting dynamics, blow efficiency is low.
The utility model has built a kind of vehicle peccancy behavioral value system of robbing row left-hand lane, described detection system by the joint operation of multiple electromagnetic induction device, combine judgement, determine left-hand lane be green light pass through state time whether there is Through Lane and rob the current vehicles peccancy of row left-hand lane, solve and detect the difficult problem that the ineffective traffic intersection brought easily robs behaviour event in the past, ensured the fairness that traffic intersection is current.
Fig. 1 is the block diagram of robbing the vehicle peccancy behavioral value system of row left-hand lane according to the utility model embodiment, described detection system is arranged on current crossing, rob the act of violating regulations of row left-hand lane when signal lamp of turning left turns green for detecting the former vehicle at Through Lane, described detection system comprises the first vehicle detection subsystem 2, second vehicle detection subsystem 3, 3rd vehicle detection subsystem 4 and master controller 1, described master controller 1 and described first vehicle detection subsystem 2, described second vehicle detection subsystem 3 is connected respectively with described 3rd vehicle detection subsystem 4.
Wherein, described first vehicle detection subsystem 2 is positioned at Through Lane dead line place, described second vehicle detection subsystem 3 is positioned at apart from preset length position before Through Lane dead line, described 3rd vehicle detection subsystem 4 is positioned at apart from preset length position before left-hand lane dead line, described master controller 1 is for receiving the testing result of described first vehicle detection subsystem 2, described second vehicle detection subsystem 3 and described 3rd vehicle detection subsystem 4 respectively, and the testing result based on them determines whether there is the vehicle peccancy behavior of robbing row left-hand lane.
Then, continue to be further detailed the concrete structure robbing the vehicle peccancy behavioral value system of row left-hand lane of the present utility model.
Described detection system also comprises: signal lamp condition detecting device, be connected respectively with multiple signal lamp unit, the quantity of signal lamp unit is identical with the track quantity at described current crossing, multiple signal lamp unit and multiple tracks one_to_one corresponding, whether described signal lamp condition detecting device is current for green light exports the track sequence number in current track corresponding to the signal lamp unit of green light according to multiple signal lamp unit.
Described detection system also comprises: image capture device, for carrying out image acquisition, to obtain vehicle image to the vehicle current at current crossing place.
Described detection system also comprises: static storage device, various urgent by vehicle image template for prestoring, described is promptly promptly by image that vehicle is taken in advance to benchmark by vehicle image template, describedly promptly comprise benchmark ambulance and benchmark fire truck by the kind of vehicle, described static storage device has also prestored car plate upper limit gray threshold and car plate lower limit gray threshold, described car plate upper limit gray threshold and described car plate lower limit gray threshold for by the car plate in image and background separation.
Described detection system also comprises: wireless communication interface, sets up bidirectional wireless data communication link with the control of traffic and road platform of far-end, to receive the steering order that described control of traffic and road platform issues.
Described detection system also comprises: image processing equipment, be connected respectively with described image capture device and described static storage device, comprise vehicle type recognition unit, contrast strengthen unit, self-adaptation recursive filtering unit, gray processing processing unit, image segmentation unit and number-plate number recognition unit, described contrast strengthen unit is connected with described image capture device, for described vehicle image is performed contrast enhancement processing, obtain and strengthen image, described self-adaptation recursive filtering unit is connected with described contrast strengthen unit, for performing self-adaptation recursive filtering to described enhancing image, to obtain filtering image, described vehicle type recognition unit is connected respectively with described self-adaptation recursive filtering unit and described static storage device, vehicle pattern in described filtering image variously promptly to be mated by vehicle image template one by one with described, there is urgent that the match is successful and promptly pass through signals of vehicles by exporting during vehicle image template, what do not have that the match is successful promptly non-emergently passes through signals of vehicles by then exporting during vehicle image template.
Described gray processing processing unit is connected with described vehicle type recognition unit, receive non-emergent by described filtering image being carried out gray processing process during signals of vehicles, to obtain gray level image, described image segmentation unit is connected respectively with described gray processing processing unit and described static storage device, the pixel identification of gray-scale value in described gray level image between described car plate upper limit gray threshold and described car plate lower limit gray threshold is formed number plate image, described number-plate number recognition unit is connected with described image segmentation unit, based on the OCR recognizer preset, number-plate number identification is performed to described number plate image, to obtain the number-plate number of vehicles peccancy.
As shown in Figure 2, described first vehicle detection subsystem 2 comprises the first inductive coil 21, first oscillatory circuit 22, first frequency testing circuit 23 and a RS232 serial line interface 24, described first oscillatory circuit 22 is connected with described first inductive coil 21, when there being vehicle by described first inductive coil 21, described first inductive coil 21 produces mutual inductance with carbody, described first oscillatory circuit 22 oscillation frequency is caused to change, and when passing through without vehicle, described first oscillatory circuit 22 oscillation frequency remains unchanged, described first frequency testing circuit 23 is connected with described first oscillatory circuit 22, for detecting the oscillation frequency of described first oscillatory circuit 22, and when the oscillation frequency of change being detected, the first vehicle pass-through signal is sent by a described RS232 serial line interface 24.
Similarly, described second vehicle detection subsystem comprises the second inductive coil, second oscillatory circuit, second frequency testing circuit and the 2nd RS232 serial line interface, described second oscillatory circuit is connected with described second inductive coil, when there being vehicle by described second inductive coil, described second inductive coil and carbody produce mutual inductance, described second oscillatory circuit oscillation frequency is caused to change, and when passing through without vehicle, described second oscillatory circuit oscillation frequency remains unchanged, described second frequency testing circuit is connected with described second oscillatory circuit, for detecting the oscillation frequency of described second oscillatory circuit, and when the oscillation frequency of change being detected, the second vehicle pass-through signal is sent by described 2nd RS232 serial line interface.
Similarly, described 3rd vehicle detection subsystem comprises the 3rd inductive coil, 3rd oscillatory circuit, 3rd frequency detection circuit and the 3rd RS232 serial line interface, described 3rd oscillatory circuit is connected with described 3rd inductive coil, when there being vehicle by described 3rd inductive coil, described 3rd inductive coil and carbody produce mutual inductance, described 3rd oscillatory circuit oscillation frequency is caused to change, and when passing through without vehicle, described 3rd oscillatory circuit oscillation frequency remains unchanged, described 3rd frequency detection circuit is connected with described 3rd oscillatory circuit, for detecting the oscillation frequency of described 3rd oscillatory circuit, and when the oscillation frequency of change being detected, the 3rd vehicle pass-through signal is sent by described 3rd RS232 serial line interface.
Described master controller 1 is connected respectively with described signal lamp condition detecting device, described first vehicle detection subsystem 2, described second vehicle detection subsystem 3, described 3rd vehicle detection subsystem 4, described image capture device and described image processing equipment, when receiving track sequence number that described signal lamp condition detecting device sends and being sequence number corresponding to left-hand lane and receiving described first vehicle pass-through signal, enter peccancy detection pattern.
Described master controller 1 is in described peccancy detection pattern, start described image capture device and described image processing equipment to obtain the number-plate number of vehicles peccancy, and when receiving described second vehicle pass-through signal, send Through Lane running red light for vehicle signal, when receiving described 3rd vehicle pass-through signal, sending Through Lane vehicle and robbing row left-hand lane signal.
Described wireless communication interface is also connected with described master controller 1, for the number-plate number of described vehicles peccancy is wirelessly sent to described control of traffic and road platform, also send to described control of traffic and road platform for described Through Lane running red light for vehicle signal or described Through Lane vehicle are robbed row left-hand lane signal wireless.
Wherein, in described detection system, described wireless communication interface is chosen as GPRS mobile communication interface, one in 3G mobile communication interface and 4G mobile communication interface, described vehicle type recognition unit, described contrast strengthen unit, described self-adaptation recursive filtering unit, described gray processing processing unit, described image segmentation unit or described number-plate number recognition unit can adopt different fpga chips to realize respectively, or, alternatively, described vehicle type recognition unit, described contrast strengthen unit, described self-adaptation recursive filtering unit, described gray processing processing unit, described image segmentation unit or described number-plate number recognition unit can be selected to be integrated in same fpga chip, and described image capture device can also comprise illumination subelement, for the image acquisition of described image capture device provides floor light.
In addition, FPGA (Field-Programmable Gate Array), i.e. field programmable gate array, he is the product further developed on the basis of the programming devices such as PAL, GAL, CPLD, occur as a kind of semi-custom circuit in special IC (ASIC) field, he solves the deficiency of custom circuit, also overcomes the shortcoming that original programming device gate circuit number is limited.
As far back as 1980 mid-nineties 90s, FPGA takes root in PLD equipment.CPLD and FPGA includes the Programmadle logic unit of some relatively large amount.The density of CPLD logic gate is between several thousand to several ten thousand logical blocks, and FPGA normally arrives millions of several ten thousand.The key distinction of CPLD and FPGA is their system architecture.CPLD is a somewhat restrictive structure.This structure is arranged by the logical groups of one or more editable result sum and forms with the register of the locking of some relatively small amounts.Such result lacks editor's dirigibility, but but have the time delay and logical block that can estimate to the advantage of linkage unit height ratio.And FPGA has a lot of linkage units, although allow him edit more flexibly like this, structure is complicated many.The difference of CPLD and FPGA another one is that most FPGA contains high-level built-in module (such as totalizer and multiplier) and built-in memory body.Therefore relevant important difference be much new FPGA support completely or part system in reconfigure.Allow their design along with system upgrade or dynamically reconfigure and change.Some FPGA can allow a part for equipment update and other parts continue normal operation.
FPGA have employed logical cell array LCA (Logic Cell Array) such concept, and inside comprises configurable logic blocks CLB (Configurable Logic Block), input/output module IOB (Input Output Block) and interconnector (Interconnect) three parts.
Field programmable gate array (FPGA) is programming device, and as compared to conventional logic circuit and gate array (as PAL, GAL and CPLD device), FPGA has different structures.FPGA utilizes small-sized look-up table (16 × 1RAM) to realize combinational logic, each look-up table is connected to the input end of a d type flip flop, trigger drives other logical circuits again or drives I/O, thus constitute the basic logic unit module that not only can realize combination logic function but also can realize sequential logic function, these intermodules utilize metal connecting line to be connected to each other or are connected to I/O module.
Adopt vehicle peccancy behavioral value system of robbing row left-hand lane of the present utility model, the detection mode of robbing row left-hand lane for existing detection too lays particular stress on the inadequate technical matters of manual detection, detection time and dynamics, by the crossing Rational Arrangement checkout equipment that communicates at road, realize effective detection of robbing row left-hand lane vehicle, image processing techniques and wireless communication technology improve the intelligence degree of this detection system targetedly simultaneously.
Be understandable that, although the utility model with preferred embodiment disclose as above, but above-described embodiment and be not used to limit the utility model.For any those of ordinary skill in the art, do not departing under technical solutions of the utility model ambit, the technology contents of above-mentioned announcement all can be utilized to make many possible variations and modification to technical solutions of the utility model, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content not departing from technical solutions of the utility model, according to technical spirit of the present utility model to any simple modification made for any of the above embodiments, equivalent variations and modification, all still belongs in the scope of technical solutions of the utility model protection.
Claims (1)
1. rob the vehicle peccancy behavioral value system of row left-hand lane for one kind, be arranged on current crossing, rob the act of violating regulations of row left-hand lane when signal lamp of turning left turns green for detecting the former vehicle at Through Lane, it is characterized in that, described detection system comprises the first vehicle detection subsystem, second vehicle detection subsystem, 3rd vehicle detection subsystem and master controller, described first vehicle detection subsystem is positioned at Through Lane dead line place, described second vehicle detection subsystem is positioned at apart from preset length position before Through Lane dead line, described 3rd vehicle detection subsystem is positioned at apart from preset length position before left-hand lane dead line, described master controller and described first vehicle detection subsystem, described second vehicle detection subsystem is connected respectively with described 3rd vehicle detection subsystem, based on described first vehicle detection subsystem, the testing result of described second vehicle detection subsystem and described 3rd vehicle detection subsystem determines whether there is the vehicle peccancy behavior of robbing row left-hand lane.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020107306A1 (en) * | 2018-11-29 | 2020-06-04 | 唐山曹妃甸联城科技有限公司 | Intelligent collection system for information of vehicle running red light and method therefor |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2020107306A1 (en) * | 2018-11-29 | 2020-06-04 | 唐山曹妃甸联城科技有限公司 | Intelligent collection system for information of vehicle running red light and method therefor |
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