1212results about How to "Ease traffic congestion" patented technology

Systems and methods are disclosed for establishing a mobile network in which each mobile unit, such as a car, becomes a node able to receive and transmit a wide variety of information, including for example, traffic conditions, vehicle mechanical / electrical status, interactive game playing information, streaming audio and video, email, and voice mail. In one aspect, multi-sensor fusion technology is used to determine the best value of a monitored variable, for example, the real time locations of each mobile unit, that may be communicated to others via the network. In addition, a new method of traffic control using real time traffic positioning and density data is disclosed. Further, methods and systems for enhancing driver safety are disclosed. In another aspect, the system may use a unique secure dynamic link allocation system to improve the information transfer from one node (mobile unit) to another and to other networks, such as the Internet.

The invention discloses a carpooling system and method for matching information through a route segmenting method. The carpooling system comprises a mobile passenger terminal, a mobile driver terminal, a website platform, a car hire managing and dispatching system and a communication module, wherein the mobile passenger terminal, the mobile driver terminal, the website platform and the car hire managing and dispatching system communicate with one another through the communication module. Based on a common computing and matching method, in order to achieve matching of same-direction carpool information to the maximum extent, a vehicle route is matched by adopting a full-route coordinate segmenting way to help a passenger to match the optimal route and the predicted arrival time of a vehicle going in the same direction. The carpooling system is applied to a mobile terminal product and an Internet platform, and has a greater same-direction carpooling matching range, more optimized matching accuracy and zero error rate, thereby directly improving the carpooling matching success rate; the carpooling system has the characteristics of energy conservation, low carbon and environment friendliness, simultaneously reduces the pressure of public transport, and relieves traffic congestion to a certain extent.

A method of informed, multi-modal travel from one or more potential routes to a defined destination includes using real-time travel-related data relative to one or more inputs of present traffic flow, emergency events, special community events, weather, historic traffic-affecting trends, and parking conditions at an informed traveler's destination; providing at least one output of using an historical database of the above real time data; generating a spatial analysis of real-time traffic flow and other traffic data; applying predictive and analytic models having rule-based constraints to selective outputs of said steps; providing guidance as to time allowed for and directions to make intermodal transfers; accounting for personal and medical information supplied by the traveler; confirming authorized users by identity confirmation and management; and providing user and management wireless access portals to the informed traveler.

The invention relates to a wireless car rental system and a car rental method for using between passengers and a car renting company, comprising a mobile phone, a local information background service system, a taxi background management system, a built-in taxi GPS calling device and a mobile communication network platform; the mobile phone forms bidirectional wireless communication with the signal receiving and transmitting ends of the local information background service system and the taxi background management system by the mobile communication network platform, and the signal receiving and transmitting ends of the taxi background management system form bidirectional wireless communication with the GPS calling devices in n taxis. The invention has the following advantages: 1. aimless running of the taxi on the road is avoided; 2. fuel consumption and mechanical wear of the taxi are reduced, and traffic jam is relieved; 3. a user can call a taxi only by dialing the button calling the taxi in local service wherever the user is and regardless of difference of the taxi number all around the country; and 4. the invention provides effective passenger-picking up route for traffic balance, thus realizing effective car-sharing service.

A method for tracking and routing traffic to avoid congestion via a plurality of user devices including providing a traffic reservation user interface for receiving a plurality of path selections from the plurality of user devices; responsive to predicting a traffic congestion from the plurality of user devices taking into account real-time and predicted conditions, presenting a first set of users with a first set of route selection recommendations via the user interface; and responsive to receiving a plurality of actual routing selections from the first set of users from the user interface, adjusting the traffic prediction, and presenting a second set of users with a second set of route selection recommendations via the user interface to reduce expected traffic congestion.

Disclosed is a motor vehicle resource sharing system. The motor vehicle resource sharing system comprises a management system which is a data processing and coordination center of the motor vehicle resource sharing system and is coupled to other modules in a communication mode, a vehicle file database, a vehicle renting pricing and expense settlement system, a vehicle renter information reading system, a self-service terminal and an information inquiry and booking system. According to the motor vehicle resource sharing system, motor vehicle resources in the society are placed into the unified sharing allocation, the mode that a plurality of users or families share a group of vehicles is achieved, the resources are shared, congestion and parking difficulties are effectively relieved, the better life index of citizens is improved, and the carbon emission of the whole society is effectively reduced.

The traffic speed counting and matching method for road traffic includes: fetching position information of mobile terminals from collected traffic data information; when the position information of the mobile terminals is lost, according to the change information of the position information of the mobile terminals, dynamic predicting and obtaining the position and speed information of the mobile terminals by using follow-up arithmetic; matching the position and speed information of the mobile terminals onto a road network to generate road traffic speed information. The road traffic speed counting and matching system is also disclosed. The method and system can provide exact traffic condition information to traffic managers and going out people.

The invention discloses a traffic congestion prediction method and system based on a traffic congestion propagation model. The method comprises: a historical track of a vehicle is obtained and a passing speed of the vehicle when passing through a first road section is calculated; according to the passing speed, a vehicle driving threshold is calculated; if an instantaneous driving speed of the current vehicle is lower than the vehicle driving threshold, traffic congestion is determined; and a road section with the monthly traffic congestion occurrence frequency larger than a predetermined frequency is determined to be a frequent traffic congestion section, a congestion sub graph is generated based on the frequent traffic congestion section, and the congestion sub graph is calibrated based on the probability of concurrence of traffic congestion of all connected sections and then a traffic congestion probability graph model is generated to predict a traffic congestion situation. Therefore, the accurate road traffic state can be extracted by using multi-source track big data, thereby completing the urban traffic congestion propagation analysis and discovering a traffic congestion source. Therefore, traffic congestion occurrence is reduced and the trip cost of the vehicle owner is saved.

The invention relates to a fish streaming based non-signal intersection vehicle-vehicle cooperation control system and belongs to the field of vehicle control. A sensing positioning module of the system comprises an environment sensing portion and a navigation positioning portion and specifically comprises a DGPS positioning device, an inertial navigation system, a radar device and a sensor. A motion control module comprises a motion controller, a driver, an actuator, a transmission part and a controlled part. A wireless communication module consists of a transmitting-receiving device. A human-computer interaction interface comprises a processor, a display unit, an input unit, a communication interface and a data storage unit. A power management and control module comprises a storage battery and a level conversion unit. A route planning module adopts global route planning and is provided with an electronic map. A decision control module comprises a central processing unit, an information processing unit and a storage unit. Compared with the prior art, the fish streaming based non-signal intersection vehicle-vehicle cooperation control system has the advantages of being used for an unmanned vehicle, being provided with a wireless communication module and being high in active safety and road utilization rate.

An area traffic management system operated by the display panel induction and the area control, relates to a information processing technique, which main comprises an area traffic information collector, an area traffic manager, an area traffic induction decision device, an area traffic control decision device, an area traffic information transmission system, a variable information display panel and a signal controlling machine. The system obtains the area traffic information in good time, performs the automatic analysis process on the collected traffic information, performs the traffic information induction hint to the traffic participants, meanwhile performs the traffic control, effectively solves the area traffic congestion, to make the urban traffic smooth.

The invention provides a public transport card passenger commuter OD (origin and destination) distribution estimation method based on APTS (advanced public transportation systems). The method includes collecting APTS data, obtaining station information where public transport passengers getting on according to association between public transport IC (intelligent card) data and intelligent scheduling system data, judging public transport commuters according to travel frequency of morning and evening peaks, and determining places of residence and places of work according to time and space characteristics of commuter traveling. The public transport card passenger commuter OD distribution estimation method has the advantages of high accuracy and strong operability, a novel manner for obtaining public transport commuter OD distribution rapidly and economically is provided, ratio of the commuters traveling by public transport can be increased, and the urban traffic congestion problem can be relived effectively.

The invention discloses an unmanned management method of a parking lot and an unmanned management system of the parking lot. The unmanned management method of the parking lot comprises the following steps: S1, when a vehicle is detected that the vehicle enters a sensing range of an exit / entrance of the parking lot, triggering a photographic device to be started so that a two-dimensional code or bar code image, which is displayed on a mobile terminal screen in the vehicle and which carries vehicle owner identity information, is remotely scanned; S2, decoding the scanned two-dimensional code or bar code image, extracting the vehicle owner identity information carried by the two-dimensional code or bar code image, uploading the vehicle owner identity information to a cloud server, and verifying the vehicle owner identity information through the cloud server; and, S3, when verification of the vehicle owner identity information by the cloud server at the cloud server is passed, receiving a switching-off instruction issued by the cloud server, and controlling a barrier gate of the exit / entrance of the parking lot to arise so that a vehicle owner conveniently drives in or out of the parking lot. Accurate identification of the vehicle owner identity information can be achieved, and the vehicle owner can be prevented from using a real parking card.

An object of the present invention is to pay a toll without stopping a car and without providing a special lane for electronic payment, thereby reducing a traffic jam. The toll payment system comprises a portable telephone on a car, a base station connected with the portable telephone, a server connected with the base station. The server comprises a first memory for storing a location of the base station, a second memory for storing a unit price for each section along the highway and data identifying a contractor or contracted car, a driving route identification unit for identifying a driving route on the basis of the location stored in the first memory and a base station connected under a certain manner, a toll calculation, and a charging unit.

The invention discloses a method for evaluating traffic state of a macroscopic road network based on floating car data and relates to the field of macroscopic traffic flows. The method comprises the following steps of: acquiring travel time data by using a floating car system provided with a Global Positioning System (GPS) apparatus, processing data by using a geographic information system technology, obtaining various measured traffic state evaluation indexes, then respectively and sequentially constructing an evaluation target function, an index vector and an ideal interval vector, determining weighting value models of the evaluation indexes and finally determining an evaluation grade of the macroscopic road network traffic state by using a projection pursuit method. The four evaluation indexes utilized in the method are a minimum average travel time Tm, a road network operation damping coefficient Eta, a road network congestion index C and an arterial road traffic state parameter S respectively. The invention realizes the macroscopic evaluation for the operation state of the urban road network, provides effective analytic tools for traffic management, planning and decision-making and enables the evaluation for the traffic state of the urban macroscopic road network to be more integral and reliable.

Provided is a real-time road condition sharing and video-on-demand method based on road condition pictures. A vehicle-mounted terminal is automatically triggered to photograph and uploads time, position, driving speed and a picture at the moment of photographing to a cloud platform, the cloud platform adds a time label, a position label, a driving speed label, a weather label and other labels to the picture, and then the picture is placed in a picture pool and is shared by all users; besides, the users can send road condition video-on-demand requests to users on the road section, when the requested user receives the video-on-demand requests, the user can agree or refuse the requests, if the user agrees the requests, the vehicle-mounted terminal is triggered immediately to photograph road condition pictures and upload the pictures to the cloud platform for sharing, and the cloud platform immediately pushes the road condition to the users sending out the requests. The method helps the users to avoid congested road sections in real time, and urban traffic congestion is relieved.

The invention provides an expressway journey time prediction method. According to the speed and flow information of each driveway obtained by a detector arranged on an expressway, calculation and prediction of journey time can be realized. The expressway journey time prediction method comprises the following steps: firstly, according to the position of the detector, the expressway is divided into a plurality of sections in space; by information obtained by the detector in one section, average speed of a detected section is calculated, and the future value of speed is predicted by a neural network; a data fusion method is adopted to carry out speed fusion for the detected section, thereby obtaining the space average speed of the section; and then the journey time of the section is calculated by a space-time discrete method; journey times of all sections are calculated in turn and are added up to obtain the journey time of the entire expressway. The expressway journey time prediction method can predict the journey time of an expressway so as to guide vehicles to make reasonable use of the expressway during going out, thereby playing an important role in relieving traffic congestion in large cities.

The invention discloses an intelligent express system and a package sending-dispatching-receiving method thereof. The system comprises a user client side, an intelligent logistics cabinet, an express cloud computing center, a vehicle client side and an express terminal; the vehicle client side and the user client side realize data transmission via a communication supplier network and the express cloud computing center; and the express terminal and the intelligent logistics cabinet realize the data transmission via optical fibers and the express cloud computing center. According to the intelligent express system and the package sending-dispatching-receiving method thereof, the logistics cabinet is networked for united and coordinated dispatching, so the logistics cabinet is closely matched with express logistics related services; and thus, the degree of informatization, intellectualization and secrecy is effectively improved, and many requirements of logistics industry on working procedures and contained ranges are met; as an express company does not need to set up a community office, the house rent, the employee salary, the vehicle purchase and maintenance expenses, and the like of the express company are reduced, and the operation cost is greatly reduced.

The invention discloses an online car-hailing service demand prediction method based on a deep neural network. The method comprises the following steps: S1, dividing a region of a city road network, and calculating and counting the network car-hailing demand of each region; S2, designing a prediction model of the demand of the network car-hailing: based on the deep neural network, learning and training the spatio-temporal characteristics of the demand of the network car-hailing, combining the influence factors of the weather factors on the willingness of the network car-hailing users, and predicting the regional demand of the next period of time; S3, according to the historical data, training the prediction model of regional car call demand, and then predicting the demand of network car call in each region by using the trained model. By combining external factors and spatio-temporal correlation, this method uses depth neural network to express the complex non-linear spatio-temporal correlation characteristics of the demand for network car-hailing, and can achieve high prediction accuracy.

The transportation system in this invention provides vehicle coupling units which allow the electrical connections and reconfigurations of two or more vehicles together at highway speeds. The coupling unit provides for the bidirectional exchange of electrical power between these vehicles to meet the various power demands of each vehicle. The system is designed to permit coupling and decoupling process of the vehicles while they are traveling at highway speeds. To facilitate the coupling event, each vehicle will employ vehicle active steering, vehicle active suspension, and coupler joint articulation, which will be under vehicle computer control, and will employ vehicle to vehicle data communication. This transportation system allows the electric vehicles to electrically and mechanically couple together for flexible electrical power sharing to achieve the extension of the range of electrically powered vehicles to minimize the time needed for stationary re-charging of electrical vehicles required by electrical charging stations.

The invention relates to a dynamic adjustment-based express delivery distribution optimization method. The method includes the following steps that: express delivery dynamic information is obtained in real time, wherein the express delivery dynamic information contains the locating information of express delivery vehicles, goods delivery point information, goods taking point information and real-time traffic information; with minimum total distribution costs adopted as an objective function, a mixed integer programming model is adopted to construct a current distribution path according to the express delivery dynamic information, wherein the minimum total distribution costs contain the transportation costs of the vehicles, the fixed costs of the enabling of the vehicles, additional costs caused by the exceeding of maximum travel and penalty costs caused by the violation of time window constraints; and a simulated annealing hybrid genetic algorithm is adopted to optimize the current distribution path. According to the dynamic adjustment-based express delivery distribution optimization method of the invention, the current distribution path is optimized and dynamically adjusted according to the express delivery dynamic information, and therefore, the speed of express delivery distribution is improved, customer demands can be quickly responded, the distribution costs of an enterprise can be decreased, the utilization rate of the vehicles can be improved, urban traffic congestion can be reduced, and the operation efficiency of express delivery business can be benefitted.

The invention discloses a crossing traffic jam judging and control method and system based on sensing detectors. The method includes the steps that according detection signals sent by the sensing detectors, a signal light control device calculates the traffic intensity of a crossing every other set statistic cycle, calculates the time occupancy for each sensing detector in a set time period every other set sampling cycle and further determines whether lanes where the sensing detectors are located are in the jam state or not, and if the crossing traffic intensity calculated in the current statistic cycle is judged to exceed a set traffic intensity threshold value and the lanes are in the jam state, the traffic condition of the crossing is judged to be the jam condition of queue overflow and traffic signal lights at the crossing are controlled according to a traffic signal light control scheme corresponding to the jam condition of the queue overflow. According to the method, the crossing jam condition is detected through the small invested cost and the small road jam area, the traffic signal lights at the crossing are controlled, and therefore the traffic circulation of vehicles at the crossing is guaranteed.

Provided are a real-time traffic flow control and dynamic route guidance system, a parking guidance system using the same, and a method thereof capable of guiding a vehicle distribution. and a transportation flow by collecting positional information, destination information, a vehicle moving speed, and the like from each vehicle in real time at one or a plurality of central centers by using an in-vehicle navigator with bidirectional communication and a GPS to dynamically calculate and provide an optimal route of an individual vehicle so as to make a flow of the entire transportation network smooth and perform a control for a transportation network structure through various kinds of traffic control devices installed on roads.

The invention discloses an intelligent traffic solution scheme based on a GID. According to the intelligent traffic solution scheme, a GID terminal is used as a movement speed meter to collect various static and dynamic information such as the speed and the operating state of vehicles, network plate numbers and various positioning technologies are combined, a quick and safe information transmission method depending on an ubiquitous network is used for achieving real-time road condition. According to the technical scheme for solving the technical problems, the achievement of the GID mainly comprises three parts: the first part is a multimode multi-homing and multi-state AP terminal, the second part is the networking mode of the network, the third part is a cloud service platform, and exchange and sharing of the service are conducted. The multimode and multi-homing characteristic of the GID system terminal is achieved through the inherent communication mode and bridging module of the GID system terminal. According to the intelligent traffic solution scheme based on the GID, the mode of 'end-tube-cloud' (namely 'communicating, sensing, computing terminal +network+ cloud computing center platform') is used for establishing a collaborative intelligent traffic three-layer network system.

The content access control system has a content permissions field in the Home Location Register database for each mobile subscriber. The content permissions data are managed by a content manager who has content access responsibility for the mobile subscriber pursuant to an existing management relationship, such as parent-child or employer-employee. The content manager initiates a communication connection to a designated content access control administration system and uniquely identifies the subscriber via their mobile communication device identification and assigns one or more content rating access permissions to each identified subscriber. The content rating permissions comprise a definition of the content that is prohibited and / or permitted by indicating via selecting content ratings or other such code definitions to identify the appropriate content. The content access control administration system loads the content ratings permissions into the Home Location Register (HLR) and / or Home Subscriber Server (HSS) associated with the identified mobile communication device(s).

A driver assistance device to be disposed in a vehicle includes a traffic signal information acquiring section, an intersection distance acquiring section, a target speed calculating section, and an outputting section. The traffic signal information acquiring section acquires traffic signal information that includes current and future lighting colors and lighting times of respective lighting colors of a traffic signal located in a traveling direction of the vehicle. The intersection distance acquiring section acquires an intersection distance between the vehicle and an intersection at which the traffic signal is located. The target speed calculating section calculates a target speed range to enable the vehicle to enter the intersection in a state where the lighting color of the traffic signal is green. The outputting section outputs the target speed range.

The invention discloses a novel control system and a novel control method for sensing and controlling road intersection group signals. Through constructing a method containing four steps of 360-DEG intersection panorama video real time monitoring and modeling, intersection assessment index and online simulation analysis, supersaturated intersection key path and control strategy optimization and intersection signal control optimization and panorama video acquisition robot linkage command and establishing an intelligent city traffic control robot based on an intersection group, a city road supersaturated intersection single-point operation optimization problem is solved, an intelligent command city road intersection, supersaturated intersection and supersaturated intersection group traffic control and optimization scheme is formed, moreover, the intelligent city traffic control robot based on the intersection group is employed, linkage between a panorama video acquisition robot and a traffic signals controller is realized, traffic efficiency and the service level of intersection single-point control are improved, so operation efficiency of a city traffic system is greatly improved, and city traffic jams are alleviated.

The invention discloses an intersection signal control and speed guidance system in a cooperative vehicle infrastructure environment. The system comprises on-board units, a road side unit and a signallight control module, wherein an on-board information transmission module in each on-board unit acquires vehicle information and transmits the vehicle information to the signal light control module,and the information fed back by the signal light control module is sent to an information acquisition module; a road side information acquisition module in the road side unit acquires road side information and stores the road side information into an intersection basic information storage module, the intersection basic information storage module pre-stores intersection information and historical data, and a wireless communication module wirelessly transmits the road side information, the intersection information and the historical data to the signal light control module; and in the signal light control module, optimal timing scheme information and travel advice information are obtained through calculation by use of a program model in the signal light control module based on the vehicle information, the road side information, the intersection information and the historical data, and the travel advice information is fed back to the on-board units.

The present invention provides an intelligent full-automatic logistics conveying system and an application thereof. The system is applied to express and small piece logistics conveyance of each section between cities and within a city. The system is a sealed pipeline; a running track and an electricity transmission track are arranged in the pipeline; a trolley runs on the track; the pipeline consists of a main pipeline and branch pipelines; each branch pipeline is provided with a main freight station; a plurality of branch stations are arranged on the main pipeline; the main freight station and the branch stations are all connected to the main pipeline; and a station identification sensor and a vehicle intelligent identification system are arranged on the running track in the main pipeline and are used for identifying the position of the trolley and controlling the trolley to automatically drive into the main freight station on the branch pipelines or the branch stations on the main pipeline, corresponding to a trolley destination. The intelligent full-automatic logistics conveying system provided by the present invention has far lower cost than automotive transportation, so that the transportation cost is greatly reduced; and the system can run uninterruptedly in all weather for 24 hours securely and reliably to efficiently transport goods at a high speed.

Real-time parking availability system. The system includes a database including an inventory of parking spaces in a city including their location, size, and level of demand. A mobile phone is programmed for access to the database to locate a vacant space, to pay for a requested time duration in the space, and to update the database to remove the space from the database of available parking spots for the requested time duration. The parking spaces may accommodate an automobile or a plurality of bicycles.