2033 results about "Transit bus" patented technology

The invention includes the car borne intelligent control device and the monitoring management system (center). The car borne intelligent control device consists of the vehicle location unit, the unitfor monitoring vehicles, the mobile display terminal and the emergence process unit. The monitoring manage system is composed of two paths digital mobile communication, two paths telephone lines and one computer server. The information in the vehicle location unit and the monitoring vehicles unit of the car borne intelligent control device is processed by the data processor of the control device.The processed information is displayed on the mobile display terminal and the station is reported automatically by using voice. Also the processed information is sent to the monitoring management center through digital mobile communication network.

A passenger behavior-oriented smart urban public transport system and its implementation, which includes a field system mounted on a vehicle and a control center controlling the field system. The field system is connected to the control center via a wireless connection means. The control center is for receiving trip instructions from a passenger, generating a bus running route and sending said route to the field system mounted on the bus. The bus will then travel along the route received from the control center. The control center will also send the information of the route to the passenger while the bus is on its way. This invention provides an entirely new type of urban public transport automatic management system, which centers around the response to passenger travel demands, providing bus service at suitable places for passengers to get on and get off through the control center's intelligent scheduling and dispatching of the vehicles in the system. The present invention also discloses a method of implementing such system.

A public transportation control system controls a suitable distance between public buses traveling on a road with traveling data of the buses through collection of the traveling data of the buses and transmission of transportation information of a target bus based on the traveling data to the target bus, and transmits the transportation information of the bus to respective bus stops on the basis of the collected traveling data of the bus in order to provide guidance of arrival schedule of the bus at the bus stops to passengers waiting for the bus, thereby preventing clumping of the buses and allowing the passengers to efficiently use a bus wait time through guidance of accurate transportation information.

A parking violation recording system capable of recording violations based on the location of a violating vehicle, is provided. The system includes at least one camera located on a mass transit vehicle, oriented so that it is capable of viewing a violating vehicle and recording an image containing violating vehicle information of the violating vehicle; at least one locator provided on said mass transit vehicle and capable of providing data for determining the geographic position of the mass transit vehicle; and a data processing sub-system, coupled to the at least on camera and the at least one locator for recording both the violating vehicle information and the geographic data in a violation data record. In another aspect, the invention is directed to a method of enforcing bus zone regulations. The method includes recording an image containing violating vehicle information of a violating vehicle illegally parked in a bus zone with at least one camera located on a mass transit bus, and storing the violating vehicle information in a data record associated with a data processing system located on the bus.

The invention discloses an intelligent bus scheduling management system, and is applied to the fields of traffic and communication. The system comprises an electronic station board, a vehicular station, a scheduling station and at least one bus management center, wherein the electronic station board acquires bus route information of a passenger and sends the information to the bus management center; the vehicular station sends bus positioning information and passenger card-swiping records to the bus management center; and the bus management center counts and/or estimates the number of passengers waiting for a bus in each route according to the acquired information, plans a bus scheduling scheme according to a statistical result and/or an estimation result and the actual bus condition in each route, and sends a command to the scheduling station to schedule buses. The system schedules the buses according to passenger requirements and the actual bus condition to improve intelligence and efficiency, save energy and reduce emission, and ensures that the passengers select the optimal bus route, understand the current position of the bus, do not wait for the bus blindly and go out easily.

The present invention belongs to the data processing technology field, and discloses an urban bus dynamic scheduling optimization method and system. The method comprises: on the basis of obtaining information such as degree of congestion of a bus, a road congestion condition, bus real-time location and the like, establishing a three-layer scheduling decision model comprising a time frame bus-times model, a departing time decision model and a path changing model; realizing information interaction of people, vehicles and roads through an internet technology; determining optimal time frame bus times through the time frame bus-times model from the beginning of balancing bus operating cost, passenger waiting time and riding comfort; taking the maximum total meeting times and the minimum total meeting stations of an area as a target regulation departing moment through the departing time decision model so as to effectively reduce the probability of transferring and waiting; and employing the idea of being far away from a jamming road by employing the path changing model to effectively improve the running speed and reduce the following station passenger waiting time, and arranging response stations to allow passengers having missed the stations to get off.

The invention discloses a public transport vehicle passenger flow statistical method and system. Concretely, two cameras are respectively installed at the front and rear doors of a bus. The release lines of the front and rear doors of the bus and a fitting function of the camera height and the head size are determined before processing images acquired by the cameras. After a door opening signal is received, preprocessing, head detection, head tracking and head movement track analysis are performed on the images acquired by the cameras in turn, and finally passenger behaviors are analyzed according to head movement tracks, the number of bidirectional passenger flow of the corresponding doors is acquired and the number of bidirectional passenger flow of the whole bus is acquired through statistics of the number of bidirectional passenger flow of the front and rear doors of the bus. After a door closing signal is received, processing of the images acquired by the cameras is stopped, and the problem of influence on the statistical result caused by abrupt change of illumination generated by movement of the bus can be reduced. The method has advantages of high statistical accuracy so that reliable supporting can be provided for intelligent scheduling of the bus.

The invention discloses a city bus operation coordinating method and device based on time variant passenger flows, belonging to the technical field of city bus operation management. In the device, bus dynamic passenger flow and bus real-time GPS (global position system) data are utilized; based on the reality that the bus operation is randomly disturbed by real-time road conditions, and by taking operator cost, crowding mileage proportion and average transfer passenger waiting time as targets, a multivariable operation coordinating total expression based on time variant data is established; and an optimal dynamic operation coordinating scheme is solved by a non-dominated sorting genetic algorithm based on fast classification. The method and device provided by the invention are favorable for improving the resource utilization and effective linkage of city bus systems.

A classifying farebox houses a bill unit which quickly accepts bills and coins from a patron, determines most probably currency denomination, and deposits the currency in a windowed area of the farebox for driver verification. Since the classifying farebox determines denomination, the driver does not need to make any entry of deposited fare value to support the fare product. However, via the window, the driver has the opportunity to look at the bills to determine if patrons have inserted fraudulent bills.

Some embodiments provide a map application that identifies a transit route that includes one or more transit legs between a starting location and a destination location. In response to a request to start navigating the identified transit route, the map application of some embodiments provides a first display area for displaying a set of navigation instructions, each of which describes a transit maneuver that is associated with a transit leg of the transit route. The map application also provides a second display area for displaying a map region presentation associated with the navigation instruction that is displayed in the first display area.

A method and apparatus for collecting transit fares is disclosed. The method implements databases contained within a central database that receive data indicating value. Detectable objects are associated with an identifier, which is then associated with one of the databases. Each identifier stores available fare value data in a database. Detectors that read the identifiers are placed at trip starting and/or endings locations and are coupled or couplable to a local memory that stores the identifiers and associated available fare data. Data sets from the central database comprising an available fare value and its associated identifier are downloaded on to the local memories from the databases. Once a detectable object is detected, its associated identifier is read and a fare is debited from the available fare value. The databases and local memories are periodically updated with updated fare values associated with each identifier.

The invention relates to an intelligent detecting system of a bus lane occupied by a non-bus vehicle and a control method thereof. The intelligent detecting system is characterized in that a front-end illegal behavior automatic detection unit is mounted on a bus and is used for collecting bus lane vehicle images, carrying out analysis processing, automatically identifying illegal vehicles and uploading pictures of the illegal vehicles to a rear-end data management unit. The control method comprises the following steps of: carrying out vehicle positioning and GIS (Geographic Information System) information reading by the front-end illegal behavior automatic detection unit; starting a camera module to shoot images and record a video if the bus enters into a dedicated bus lane; and if the non-bus vehicle which is an illegal vehicle runs or stops in front of the bus, uploading a recorded illegal evidence to the rear-end data management unit for processing, by the system, and returning to the steps of carrying out the vehicle positioning and the GIS information reading by the system. According to the invention, the problems of a large amount of shooting by mistake and shooting leakage of a similar snap-shot system at present can be effectively reduced, the credibility of enforcement evidence is increased, the screening work intensity of a traffic management department is reduced, the number of administrative penalty objection cases is reduced, and the harmonious development of the society is ensured.

The invention discloses a high-efficiency bus scheduling method and device, belonging to the field of control systems. The method comprises the following steps of: collecting real-time information of destination stations of passengers from bus stations; displaying a current position of a bus on a bus station board; optimizing a departure interval and judging if the number of direct buses for an appointed station is increased by a bus control center according to received passenger destination information. Whether the bust stops or not at next station is decided according to the information about whether passengers get off the bus at the next station or not, which is collected in the bus, and the information about whether passengers get on the bus at the next station, which is received from the control center. The system comprises a subsystem module for collecting passenger destinations from the bus station boards, a subsystem module for dynamic bus scheduling and a subsystem module for intelligent stop judgment.

The invention discloses a bus passenger flow real-time counting method, above a bus door, vertically downward equipped with a human body infrared sensor-infrared reflecting switch array, each point of the array is composed of a human body infrared sensor and an infrared reflecting switch bound with each other; the human body signals sensed by the array are amplified, filtered and compare- converted through multichannel selector and signal conditioning circuit into electric pulse signals, which are read in from I/O ports of a CPU, and the data is stored into a data memory, and the CPU judges the directions of getting on and off and counts the number of passengers getting on and off by a certain algorithm according to the number of read array-sensed pulses and the read pattern, and finally the serial port of the CPU sends the number of counted passengers getting on and getting off at each station, to a vehicle terminal or control center, which real-timely counts total number of passengers.

The invention belongs to the technical field of vehicle transmission and particularly relates to a hybrid transmission device. According to the technical scheme of the hybrid transmission device for urban buses, the hybrid transmission device for the urban buses comprises an engine, a coupling, a clutch, a power splitting bus, a power converging bus, a first brake, a second brake, a double-rotor motor, a third brake, an output shaft, an input shaft, an energy storing device and an integrated controller. According to the hybrid transmission device for the urban buses, a planetary gear train is utilized as an implementing device of a power splitting mechanism, the engine outputs power to a certain component of the planetary gear train, the planetary gear train, by a fixed proportion, outputs one portion of torque through the power splitting bus directly and distributes the other portion of the torque to an inner motor of the double-rotor motor to drive the inner motor to generate electricity, an outer motor converts input electric energy into mechanical energy, and the mechanical energy is output after superposed with torque of the output shaft by utilizing the power converging bus, so that the size of the motor is reduced; and multiple modes can be achieved through the integrated controller, and the advantages of electric transmission and mechanical transmission can be fully taken advantages of.

The invention discloses a bus arrival predication method and system based on bus GPS data, and belongs to the field of intelligent transportation. The bus arrival predication method includes the steps of reading in topological data of bus stations, building a topological relation of the bus stations, receiving the bus real-time GPS data, and obtaining and outputting in-station delay, inter-station delay and next-station arrival delay, of buses in various lines, in the topological relation according to a set time interval. The bus arrival predication system comprises a topological relation building device, a GPS data reading module and a bus running model building device. According to the bus arrival predication method and system based on the bus GPS data, due to the fact that the calculating process of the running time between stations is simplified to be achieved through the bus GPS data and the inter-station abstract road conditions, the calculating process is greatly simplified, and calculating errors introduced in the road section running time calculating and accumulation processes can be further reduced correspondingly. In addition, the delay of the buses inside the stations serves as a parameter to be described, and therefore the bus arrival time can be accurately calculated.

The invention discloses an urban express road intersection public transit priority signal coordinating and timing method which includes the steps: performing dividing and numbering for control areas, and dividing urban express roads under the tidal traffic flow actions into two types of control areas according to a fact that whether intersection downstream roads have bus stops or not; building traffic characteristics data sets; determining initial signal timing schemes comprising initial signal phase structures, initial signal control periods and initial phase green time of intersections; respectively constructing intersection public transit priority signal timing models for the two types of control areas, and calibrating model parameters; determining intersection public transit priority signal timing prioritization schemes, and determining public transit priority green time of the intersections and phase green time of the intersections by the aid of a 'value testing method'; determining an intersection public transit priority signal coordinating and timing scheme. Waiting delay of major traffic flow of the express road at the intersections is greatly reduced, and traffic efficiency is improved.

The invention discloses a method for identifying and predicting a bus passenger flow influence factor based on geographically and temporally weighted regression (GTWR). The method comprises steps of: extracting a traffic zone hour bus passenger flow and calculating built environment density; 2, constructing a space-time three-dimensional coordinate system according to the time of a passenger flow observation point and latitude and longitude to calculate space-time distance, and reckoning a spatial regression weight matrix according to a Gaussian function and the distance; 3, calculating a relation between a passenger flow volume and land utilization under different space-time conditions based on the GTWR; and 4, obtaining a change of a relevant parameter to a coefficient according to the calculation to perform visualization processing in time and space, and analyzing an inherent law. The method takes account of the influence of a time factor on the bus passenger flow and the built environment relation, can deeply excavate an internal relation between the passenger flow and the land utilization, accurately predicts the bus passenger flow, and provides the scientific theoretical guidance for the bus line planning and operation management.