This disclosure related to the field of parking lot monitoring, and, more particularly, to systems and methods for monitoring vehicle arrival and taking action in response thereto.
In many cities, motor vehicles such as cars are the predominant mode of transportation utilized by residents. In some cases, parking lots for motor vehicles are not monitored or attended, and motor vehicles come and go at the direction of their operators. However, in other cases, parking lots are to be monitored and attended. For example, a human attendant physically located at the parking lot may track the inventor of remaining spaces in the parking lot, may direct motor vehicles toward given spaces, and, in the case where the parking lot is a pay lot, may collect money from occupants of the motor vehicles in exchange for provision of a parking space.
Complete management of a parking lot by a human may be undesirable for a variety of reasons. For example, a computing device may be able to more efficiently manage inventory or accept payment, thereby enabling more efficient management of the parking lot, or for quicker payment processing times.
To that end, automated parking lot management systems have been developed. For example, a device may be installed at the entrance of a parking lot that accepts payment from a driver of a motor vehicle, and such device may monitor the number of vehicles in the lot via a counter. While this may provide for a variety of advantages over complete management of the parking lot by a human, the usage of such devices may be confusing to users, or users may incorrectly input information into the device, resulting in incorrect management.
Therefore, further developments in systems for parking lot management are needed.
This summary is provided to introduce a selection of concepts that are further described below in the detailed description. This summary is not intended to identify key or essential features of the claimed subject matter, nor is it intended to be used as an aid in limiting the scope of the claimed subject matter.
Described herein is a system is for monitoring arrival of a vehicle at a given location. The system includes a server, and a vehicle sensing device. The vehicle sensing device is configured to sense arrival of the vehicle to the given location, and to transmit information about the vehicle to the server in response to sensing arrival of the vehicle to the given location. The server is configured to determine a context of the vehicle based upon the information about the vehicle, and take action based on the context of the vehicle.
Also described herein is a vehicle sensing system including at least one vehicle sensing device. The at least one vehicle sensing device includes at least one wireless transceiver, at least one vehicle detector, a processor cooperating with the at least one wireless transceiver and at least one vehicle detector. The processor is configured to detect entry of a vehicle into a given area via the at least one vehicle detector, determine information about the vehicle in response to sensing arrival of the vehicle to the given location using at least one of the at least one wireless transceiver and the at least one vehicle detector, and transmit the information about the vehicle to a server using the at least one wireless transceiver.
So that the manner in which the above recited features can be understood in detail, a more particular description may be had by reference to embodiments, some of which are illustrated in the appended drawings, wherein like reference numerals denote like elements. It is to be noted, however, that the appended drawings illustrate various embodiments and are therefore not to be considered limiting of its scope, and may admit to other equally effective embodiments.
In the following description, numerous details are set forth to provide an understanding of the present disclosure. It will be understood by those skilled in the art, however, that the embodiments of the present disclosure may be practiced without these details and that numerous variations or modifications from the described embodiments may be possible.
With reference to
The device 102 within the vehicle 101 may be a mobile wireless communications device utilized by the driver or passenger of the vehicle 101, such as a smartphone, smartwatch, or tablet, or may be a device integrated within the vehicle 101, such as an infotainment system.
With additional reference to
A payment acceptance device 119 is coupled to the processor 111 for accepting payment from a user. The payment acceptance device 119 may utilize magnetic strip, chip and pin, NFC, or other electronic payment acceptance technologies. In addition, the payment acceptance device 119 may also directly accept hard currency, such as bills and coins. It should be appreciated that in some applications, the payment acceptance device 119 may be part of, or may be, the RFID reader 126.
The magnetometer 112 serves to sense metal in vehicles 101 via a change in the local magnetic field, and can thus detect the presence of vehicles 101. The processor 111 may be able to interpret reading from the magnetometer 112 to estimate the dimensions of the vehicle 101, from which a type or configuration of the vehicle may be inferred (i.e. a vehicle estimated to be a car, whereas a larger vehicle is likely to be a truck).
The accelerometer 113 serves to detect vibrations in multiple axes, such as those caused by a passing vehicle 101, and can therefore be used to determine whether the vehicle 101 is entering or leaving the given area. By logging the magnitude and direction of vibrations detected by the accelerometer 113, the processor 111 can infer both the speed of the vehicle, as well as whether the vehicle is arriving or departing.
Due to the use of the accelerometer 113 and magnetometer 112 for detecting vehicles 101, the vehicle detection device 110 is positioned at the entrance and exit to the parking lot 105, and needs not be driven over by the vehicle 101 in order for detection to occur.
As stated, the RFID reader 126 may read RFID tags associated with the vehicle. Thus, the RFID reader 126 may read a code from the RFID tag, and the code may be a toll tag ID number, or may be a tire identification code. Where the code is a toll tag ID, the information about the vehicle may be the toll tag ID, which may in turn be used for identification of the user by looking up the user's information in a table of toll tag ID's, or in processing payment via the toll tag ID. Where the code is a tire identification code, the information about the vehicle may be the tire identification code, which may in turn be used by the server to determine a make and model of the tires on the vehicle, which may in turn be used to determine the type of vehicle and vehicle configuration, as well as the make and model of the vehicle. Also, the information about the vehicle may include the various measurements taken by the accelerometer 113 and magnetometer 112 as well as the make and model of the tires, which may be used to more accurately determine the type of vehicle and vehicle configuration, as well as the make and model of the vehicle.
As stated above, using the transceiver 114, the vehicle detection device 110 may communicate with other vehicle detection devices 110. In addition, one vehicle detection device 110 may act as a relay for another vehicle detection device 110, transmitting information received therefrom to the server 130, or to the device 102 within the vehicle 101. The transceiver 114 may also be used by the vehicle detection device 110 for communication with a fixed or mobile device used by a parking lot attendant, such as a smartphone, tablet, or pay station.
The processor 111 may also cooperate with additional vehicle detection hardware, such as a pressure sensor for vehicle sensing, allowing retrofitting of the vehicle detection device 110 to existing parking lot management installations. In addition, the processor 111 may also cooperate with hardware, such as RFID readers, that read toll tags or toll passes, and/or Bluetooth connections from which vehicle information may be read, and via which payment for parking may be effectuated.
In some applications, such as that shown in
In other applications, such as that shown in
With additional reference to the flowchart 550 of
Next, the server 130 determines a context of the vehicle 101 based on the information received from the vehicle detection device 110 (Block 553). Thereafter, the server 130 takes at least one action based on the context of the vehicle 101 (Block 554).
Through sensing different types of information about the vehicle 101, through determining different contexts, and through taking different actions, the system 100 may be used in a wide variety of applications. For example, the application shown in
A first parking related application is where a driver of the vehicle 101 has prepaid for parking via the device 102. When the vehicle 101 arrives to the parking lot 105, the vehicle detection device 110 operates to read the prepayment (or voucher) information from the device 102, or serves to identify the vehicle 101 via the device 102 and then query the server 130 for the prepayment or voucher information. If the prepayment or voucher is valid (i.e. has been properly paid for the correct amount, and/or if it is an authorized time of day, date, or day of the week), the vehicle detection device 110 or server 130 instructs the gate 125 to open, and updated parking lot inventory information is sent to the parking lot operator's device 135.
If no prepayment is present, or if the prepayment or voucher is not valid for the present time, the vehicle detection device 110 may, either on its own via its display 117, LED 123, and speaker 125, or via the device 102 in the vehicle 101, demand payment for the right to park the vehicle 101 in the parking lot 105. If, within a given amount of time, the payment is not received (from either the device 102, or in pieces from multiple devices 102, or via the payment acceptance device 119) and the vehicle 101 has not left the parking lot, the vehicle detection device 110, either on its own or via the server 130, may notify the parking lot operator's device 135 that the vehicle 101 is parked in the parking lot 105 without having paid for the right to do so.
In a second parking related application, the vehicle detection device 110 serves to detect the number of devices 102 in the vehicle 101, and transmits that information to the server. Since the majority of adults carry a smartphone in today's world, from this number of devices 102 in the vehicle 101, the server 130 can estimate the number of people in the vehicle 101, and may transmit this data to the parking lot operator's device 135, may save this data for future analytics, or may transmit this data to other devices, such as those within a venue adjacent the parking lot 105.
In a third parking related application, the vehicle detection device 110 serves to read user identity information from the device 102 in the vehicle, or to request user identity information associated with the device 102 from the server 130. Then, the server 130 can notify the parking lot operator or venue that the user matching the user identity information has arrived. Therefore, the parking lot operator or venue can prepare for the arrival of that specific user.
As an example, the specific user may have reserved a given parking space 106, and the parking lot operator may manually (via a human attendant) direct the vehicle 101 to park in the parking space 106, or the server 130 may direct the vehicle 101 to park in the parking space 106 via displays incorporated with the sensors 140, or via the display 117, LED 123, and/or speaker 125. In addition, in some applications, the sensors 140 may report to the parking lot operator, the vehicle detection device 110, or the server 130 which spaces are occupied. This functionality may also be performed by the vehicle detection device 110. If the vehicle detection device 110, via the sensors 140 or on its own, determines that the reserved space 106 has been improperly occupied (i.e. the space 106 is occupied, but the vehicle detection device 110 has not detected the device 102 of the specific user), the vehicle detection device 110 may directly or via the server 130 notify the parking lot operator's device 135 that the parking space 106 is occupied by an unauthorized vehicle.
In any such parking applications wherein payment is collected for the parking space 106, the vehicle detection device 110 may determine both an arrival time and a departure time of the vehicle 101, and the payment amount may be based upon the length of time between the arrival time and departure time. The payment amount may be additional or alternatively be based upon the time of day, date, or day of week of the arrival time and/or departure time—for example the payment may be greater on a Saturday than on a Tuesday, or may be less at 2:00 AM than at 9:00 AM. In addition, the payment amount may be dependent upon the weight, type, or configuration of the vehicle 101 (e.g. vehicle size, vehicle weight, vehicle body style, etc), as determined based on readings from the magnetometer 112 and/or accelerometer 113.
In some cases, the vehicle 101 may be authorized to park in the parking lot 105 at the time of parking, but may at a later point in time, before departure, become no longer authorized. For example, the parking lot 105 may be operated by a municipality, and may need to be emptied for street cleaning, trash pickup, etc. In such cases, the server 130 may notify the parking lot operator's device 135 (and thus the municipality's device) that certain vehicles have not yet departed. The municipality can then take appropriate action. In some cases, such notification may additional or alternatively be sent to the device 102.
Another parking application may be where the parking lot 105 is a valet parking lot. The vehicle detection device 110 may this record a unique identifier for the vehicle when it entered the parking lot 105, and thus unique identifier may be transmitted, via the server 130 or directly, to the device 102. A user may request retrieval of the vehicle 101 via provided input to the device 102.
Another application for the system 200 in which the system 200 is employed at a merchant is now described with additional reference to
Yet another application for the system 300 in which the system 300 is employed at a shipping yard is now described with additional reference to
Additional sensors 303 may be placed in the cargo containers carried by the trucks 301, and these sensors may detect when the cargo container is being moved (for example, from a 301 to storage), and transmit that data to the server 330 via the vehicle detection device 310. The server 330 may then report that data to the shipping yard's device 335.
Further details of the vehicle sensing system 100 and vehicle sensing device 110 will now be given with reference to
In some instances, the processor 111 may transmit an application trigger to cause the device within the vehicle (e.g. smartphone, infotainment system, etc) to launch an application. This application may prompt the user for payment, provide the user with notice that they are authorized or not authorized, provide the user with information about where to park, where to pick up cargo, or where to drop off cargo, provide the user with information about valet parking (such as price), or provide the user with information about an order from a merchant.
In some applications, for example such as the one shown in
Although the preceding description has been described herein with reference to particular means, materials and embodiments, it is not intended to be limited to the particulars disclosed herein; rather, it extends to all functionally equivalent structures, methods, and uses, such as are within the scope of the appended claims.
This application for patent is related to co-pending application U.S. Ser. No. 14/995,157, filed on Jan. 13, 2016, entitled “System for Monitoring Arrival of a Vehicle at a Given Location and Associated Methods”, the entire disclosure of which is incorporated herein by reference.
Number | Date | Country | |
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Parent | 14995148 | Jan 2016 | US |
Child | 17833409 | US |