1210results 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.

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.

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.

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.

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 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.

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 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.