39results about How to "Avoid congested roads" patented technology

The invention provides a real-time road condition information displaying method, which relates to the field of the service application of urban traffic information and aims to accurately, concisely and directly display instant traffic information so that a driver or a user can quickly know and recognize the expressed real-time road condition information. The real-time road condition information displaying method comprises the following steps: determining a current position and acquiring the real-time road condition information of a current moment where the current position is, wherein the real-time road condition information comprises real-time traffic flow information, traffic event information and travelling time; selecting a target road of which the road condition information is to be expressed, and generating a synoptic road network map comprising the target road and marked with part of important address names; and displaying the real-time road condition information at corresponding positions on the synoptic road network map. The invention also provides a real-time road condition information displaying device. The method and the device can be used for displaying the real-time road condition information.

The invention discloses an urban road network induction scheme issuing method and system based on a trip structure. The system comprises a data access module, a demand structure analysis module, an induction path searching module, an induction strategy generation module and an induction issuing module; and the method comprises the following steps: firstly, acquiring whole road network motor vehicle gate vehicle-passing records in designated time through the data access module, and acquiring the trip structure of a motor vehicle based on the gate vehicle-passing records; subsequently, buildinga road network topological structure according to the trip structure to acquire OD (Outside Diameter) dotted pair sets of the road network and corresponding trip path sets; then acquiring real-time traffic flow data of the trip path sets, and generating congestion road section sets based on the traffic flow data; simultaneously, building an induction path searching model based on the congestion road section sets, and generating multiple induction paths for each OD dotted pair based on traffic operation situations and historical passage tracks of the road network; and finally, determining an optimal induction issuing strategy and a sub-optimal induction issuing strategy according to the trip of the motor vehicle. According to the urban road network induction scheme issuing method and systembased on the trip structure disclosed by the invention, the road network passage efficiency can be promoted.

The invention discloses an urban traffic dispatching system and method based on image fusion in severe weather. The system comprises a traffic dispatching center, a synthetic aperture radar and an optical remote sensing radar, wherein the synthetic aperture radar and the optical remote sensing radar are carried on a satellite. The traffic dispatching center comprises an image processing sub-center used for processing real-time images to obtain real-time traffic flow levels of roads and an information issue sub-center used for issuing the real-time traffic flow levels of the roads to vehicle groups. The method includes the steps that image sequences of SAR images and PAN images of a city are shot through the satellite in real time; the images are transmitted and preprocessed; the SAR images and the PAN images are fused; the traffic flow levels of the roads are divided; road information is issued. According to the urban traffic dispatching system and method based on image fusion in severe weather, through image fusion, urban road traffic conditions are recognized and the traffic flow levels of all the roads are evaluated, information is broadcast to vehicles through the traffic dispatching center in real time, and thus urban traffic dispatching is achieved, and traffic jams caused by severe weather can be effectively prevented.

The invention discloses an automatic real time traffic vehicle flowrate and pedestrian counting method; the method comprises the following steps: obtaining a real time traffic video in a jurisdictionsection; marking traffic elements in the real time traffic video; calculating the vehicle flowrate in the section within a period of time; calculating the pedestrian flowrate in the section within a period of time; calculating the degree of crowdedness of the time period; predicting the crowdedness degree of the same section in a future time; estimating the average passing time of the section in each time period. The invention also discloses an automatic real time traffic vehicle flowrate and pedestrian counting system. The method and system allow people to conveniently obtain the present vehicle flowrate of certain section or the pedestrian flowrate of a busy section in advance, thus planning routes in advance, avoiding busy sections, and brining travel conveniences.

The invention provides a vehicle fuel pre-warning reminding method and system. The method comprises the steps that residual oil quantity data is obtained, and the endurance mileage is calculated according to the residual oil quantity data; a travel destination is obtained, and the travel distance is calculated; the travel mileage is calculated according to the travel distance, and the relation between the travel mileage and the endurance mileage is obtained; if the travel mileage is smaller than the endurance mileage, fuel pre-warning is carried out according to a first preset voice template;if the travel mileage is not smaller than the endurance mileage, fuel pre-warning prompting is carried out according to a second preset voice template. According to the method, a user can be informedwhether the travel fuel quantity meets requirements or not in advance before traveling, so that inconvenience caused by insufficient fuel quantity to traveling of the user is prevented; a refueling strategy is automatically planned for the user, oil consumption increase and environmental pollution caused by excessive refueling are prevented, and repeated refueling caused by insufficient fueling isalso prevented.

The invention relates to an on-board diagnosis system data-based traffic condition analysis and early warning method. According to the method, OBD (on-board diagnosis) sample data installed on a vehicle are read, so that vehicle traveling data can be obtained, and abnormal behaviors are monitored; the abnormal behaviors are uploaded to a cloud data analysis center, the driving behaviors of a userare analyzed and learned through using various deep learning algorithms; modeling and evaluation are performed on the sample data a plurality of number of times, and therefore, the congestion condition of a current road can be judged, whether dangerous behaviors such as sudden braking will easily appear can be judged; and after enough data are obtained and analyzed, a system performs secondary modeling according to the driving behaviors of the user and informs the user of a current traffic condition. According to the method of the present invention, a field traffic condition collection processis subtly avoided; a traffic condition is estimated, the consumption of a lot of money to collect traffic condition information is avoided, and therefore, the deployment difficulty of a project is deceased, and capital consumption can be decreased. With the method adopted, an intelligent analysis and reminding function can be realized; bad driving behaviors can be avoided to a certain extent; congested roads can be avoided; and drivers can be warned against sections where accidents happen frequently.

The invention discloses a time-varying road resistance information-considered electric car navigation method. The method comprises the steps of obtaining a residual electric quantity of an electric car, a full electric quantity of the electric car, a position where the electric car is located, a destination of the trip, fragile road sections of a road network, disturbance states of the fragile road sections and unit time-varying probability data of the disturbance states of the fragile road sections; determining a minimum charging cycle in the trip accordion to the residual electric quantity of the electric car and the position where the electric car is located; determining a range where potential charging stations are located accordion to the minimum charging cycle in the trip; calculating a time-varying road resistance information-considered road with the shortest time between the position where the electric car is located and the first charging station; calculating a roads with theshortest time between the departure and the destination of the trip so as to determine an electric car navigation path . According to the method, the potential of real-time dynamic information in theintelligent traffic systems can be sufficiently exploited, so that the congested road sections are effectively avoided; and the method is also suitable for the large-scale complicated road networks, so that powerful technical support is provided for the urban intelligent traffic management and path induction.

The invention relates to the technical field of intelligent traffic dispersion, and discloses a regional traffic dispersion system based on Internet of things and a block chain. The regional traffic dispersion system comprises a CPU of first video acquisition equipment which is distributed at different traffic intersections and can horizontally rotate for 360 DEG, wherein communication connectionbetween the CPU and a CPU of a local block database server in a regional traffic information block chain network is realized through a serial port master-slave mode communication mechanism, and communication connection between the CPU of traffic signal control equipment which is distributed at different traffic intersections and the CPU of the local block database server in the regional traffic information block chain network is realized through a shared memory communication mechanism. The regional traffic dispersion system settles a technical problem of incapability of effectively dispersingabnormal congestion of mobile passenger flow and traffic flow in a travel peak period in a traditional experience-based traffic management system.

The invention provides a real-time acquisition device for an automobile flow of an urban expressway. The device is fixed on a lamppost at a ramp crossing of the urban expressway, wherein a card reader in the acquisition device is used for reading card-type compulsory traffic insurance signs pasted on front windshields of automobiles entering or running out of the ramp crossing of the urban expressway, so that acquisition of the automobile flow is realized; and acquired information of the automobile flow is sent to a control circuit of a traffic management center regularly by using a radio communication circuit in the device.

The embodiment of the invention discloses an indoor navigation method and device, a storage medium, a mobile terminal and a system, and relates to the field of navigation. Whether each road in the navigation route is congested or not is mastered based on the road condition information acquired by the server in real time, so that congested road sections are avoided, and a user can quickly arrive at a destination; besides, indoor navigation is carried out based on the mobile terminal, the user does not need to have high map recognition capability, and the navigation process is simpler and more convenient.

The invention relates to the technical field of logistics management systems, and discloses a transportation path optimization system and method of a logistics management system. According to the transportation path optimization system and method of the logistics management system, the road analysis system is arranged, the road analysis system is composed of the traffic analysis system and the road condition analysis system, and real-time congestion information of the road condition can be obtained through the road condition analysis system; and the traffic analysis system can integrate the vehicle condition and the traffic speed measurement condition to carry out information arrangement and analysis, and the data processor transmits the analysis result to the logistics path planning module. The logistics path planning module plans a plurality of paths including the shortest travel path, the shortest oil consumption path, the optimal oil consumption path and the path with the lowest predicted congestion degree according to the real-time congestion condition information and the vehicle information, so that the transportation path can be adjusted in time while the real-time road condition information is obtained, the congested road section is avoided, and the optimal transportation path is ensured.

The invention relates to an intelligent road navigation system and method based on big data. The navigation system comprises a navigation host, a navigation interaction module, a positioning module, a map updating module and a cloud server module, wherein the navigation host is used for generating one or more navigation schemes for a user to plan a driving path according to a user navigation demand in combination with traffic data acquired from the cloud server module in real time; the cloud server module is used for acquiring, updating and storing map resource information in real time, and sending a map resource updating prompt to the map updating module of each user when the map resource information is updated; the map updating module judges whether to update map resource information in the navigation host according to a preset updating rule and a user operation instruction after receiving the map resource updating prompt; and the cloud server module is connected with each urban traffic command center to obtain traffic data of each place in real time. The intelligent road navigation system and method provided by the invention have the effect of intelligently providing navigation service for users.

The invention relates to the technical field of path planning, in particular to an optimal path based on an artificial neural network and a method for calculating path time, and the method for selecting the optimal path comprises the following steps: step A, obtaining original data of automobile driving time and real-time road conditions from a local machine and a network; B, performing neural network analysis on the driving information of the current road information in the local machine; C, performing data acquisition and neural network analysis on similar vehicles in the Internet host; StepD, if the difference between the two results is too large, performing re-verification, preferentially taking a local result, and if the number of local sample points is too small, taking a cloud computing result; E, planning a path according to the obtained result; F, repeatedly calling the method in the driving process to shorten the operation time and avoid the congested road section; Accordingto the method for calculating the path time, the arrival time is predicted by using the steps A, B, C and D for the path of the known path and summation is carried out. The method can shorten the operation time and avoid the congested road section.

The invention discloses a vehicle-mounted satellite positioning navigation system which comprises a central processing unit, an automotive anti-theft module, a map navigation module, a satellite positioning module, a power supply and power-saving control module, a wired data exchange interface, a working indication lamp, an alarm conformation lamp, a voice control module, a display module, a communication network module, a GPS receiver and a GPS antenna. The automotive anti-theft module, the map navigation module, the satellite positioning module, the power supply and power-saving control module, the wired data exchange interface, the working indication lamp, the alarm conformation lamp, the voice control module, the display module, the communication network module, the GPS receiver and the GPS antenna are all connected with the central processing unit. The vehicle-mounted satellite positioning navigation system is simple in structure and convenient to use, the problem of signal drift during vehicle-mounted navigation can be solved through the GPS receiver, traffic condition information of all road sections can be effectively obtained in real time, route selection of vehicle-mounted navigation is more reasonable, congested road sections are effectively avoided, accordingly traffic congestion is relieved, and the time required by a driver is saved.

The invention relates to the field of vehicles, in particular to a driver detection and Internet of Vehicles data manager installed on a vehicle, which can solve the problems of drunk driving, fatiguedriving, vehicle theft prevention, violation fines and automatic accident alarm of a prohibited driver by using technical means, and solves the commercial service problem of convenient travel of thedriver.