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

The invention discloses an intelligent going-out and best carport navigation system and a navigation method of the navigation system. The intelligent going-out and best carport navigation system comprises an optimal path recommendation unit, a traveling car real-time positioning device, a parking guidance master controller, a wireless carport probe, a wireless network communication unit, a central processing unit (CPU) and a liquid crystal touch screen. The best running route is timely recommended on a liquid crystal display by the optimal path recommendation unit according to real-time road conditions, and the optimal path recommendation unit helps an owner to keep away from a blocking road section, so that the owner can arrive at the destination at the top speed. The parking guidance master controller can provide convenient parking lot carport information on the liquid crystal display, so that the owner can find an appropriate parking lot and the best carport with a nearest road in a short time, troubles of the owner for finding the carport are removed accordingly, parking time is saved, and parking speed is quickened. The intelligent going-out and best carport navigation system and the navigation method achieve car dynamic route guiding and carport best guiding functions, provide accurate and comprehensive traffic guidance information on the liquid crystal display, and improve traveling and parking efficiency and quality.

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.

A driving route planning system includes a data processing center for collecting real-time traffic information and storing the collected real-time traffic information in a database. The data processing center includes a transmission interface for emitting the stored real-time traffic information receiving requests. The system further includes an electronic device including an electronic route guiding program for planning driving routes, a communication interface for connecting to the data processing center to receive the traffic information transmitted from the data processing center and emit real-time traffic information updating request to the data processing center, and a storage unit for receiving the real-time traffic information received by the communication interface. The electronic route guiding program, when planning a driving route, compares an overlap situation between the real-time traffic information stored in the storage unit and the planned driving route, and takes the overlap situation as a basis to re-plan the driving route.

The invention provides a road condition information sharing system and a road condition information sharing method based on vehicular networking equipment, and relates to the field of Internet of vehicles. The road condition information sharing system comprises in-vehicle equipment and an Internet-of-vehicles cloud platform. The in-vehicle equipment is used for triggering a sharing function, collecting, processing and uploading vehicle road condition information and position GPS information, receiving road condition image links and GPS information and carrying out marking, and displaying the information in the in-vehicle equipment according to the needs of users. The Internet-of-vehicles cloud platform is used for receiving the vehicle road condition information and position GPS information, forming road condition image links and GPS information and pushing the road condition image links and GPS information to the in-vehicle equipment of each vehicle which may pass by the road section. The invention further provides a road condition information sharing method. The road condition information sharing system can realize visual display of road conditions and timely sharing of road condition information between vehicles, and has a wide application prospect.

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 relates to the field of intelligent traffic management, in particular to a section traffic road condition detection system for intelligent traffic information management. The section traffic road condition detection system comprises a road condition monitoring device and a central processor. The central processor comprises an event identification module and a communication module. The road condition monitoring device is used for detecting traffic information of a road. The event identification module is used for identifying the type of the traffic information and generating abnormal reminding information and sending the information to a monitoring center through the communication module. The communication module is used for sending conventional traffic information and abnormal reminder information to the monitoring center. The event identification module identifies the abnormal traffic information and sends out the abnormal reminding information to the monitoring center to remind staff of the monitoring center to deal with road anomalies in time to restore normal operation of the road. Through a road display screen or a user mobile terminal, a driver of the vehicle ready to pass through the congested section of the road is prompt to choose another route to avoid the congestion section, and further congestion of the section is avoided.

The invention provides a navigation method, a navigation device, an electronic map system and a generation method, which relate to the field of electronic maps and aim to solve the technical problem that the navigation device in the prior art cannot avoid congested road sections. The navigation method comprises the following steps of: a, acquiring a starting position and a destination position; b, selecting a road section between the starting position and the destination position according to un-obstruction information, a driving speed and the time of starting from the starting position preset for the road section; and c, performing navigation according to the selected road section. The navigation method, the navigation device, the electronic map system and the generation method can be used in the field of navigation to avoid the congested road sections.

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 provides a traffic speed prediction method and device and a storage medium, and the method comprises the steps: receiving at least one group of historical driving track data sent by at least one first terminal, obtaining a vehicle driving track data set, and enabling each group of historical driving track data to be used for representing one travel of a vehicle corresponding to the first terminal; obtaining time weight data of at least one road of the road network according to the vehicle driving track data set and the road network data; and predicting the passing speed of each road in the road network according to the time weight data of at least one road of the road network, the traffic flow data of at least one area of the road network and the road attribute data of the road network. According to the method, the historical driving track data and the road network data sent by the terminal can be combined to obtain the time weight data of the road in the road network data, the passing speed of each road in the road network can be further predicted, the congested road is further avoided, and a reasonable line is provided for the user.

The invention provides an information processing method and electronic equipment. The information processing method comprises the following steps: firstly obtaining a starting point and an end point; generating a first traveling route between the starting point and the end point; dividing the first traveling route into at least two road sections in a way of setting nodes on the first traveling route, obtaining the specific position of an object through mobile induction parameters and obtaining actual road condition information of the (M+1)th road section in advance when the object is positioned on the Mth road section in the first traveling route; determining whether a second traveling route is generated or not according to the actual road condition information to replace a route between the mth node and the end point. Therefore, the information processing method and the electronic equipment have the benefit that the purpose of planning to replace the traveling route on an initial traveling route in advance to avoid the congested road section can be realized.

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 path distribution method and device capable of discriminating a vehicle turning direction. The method comprises the steps that a start node and a terminal node are determined in an abstract road network topological graph; as for any one directional arc formed by two adjacent nodes in the abstract road network topological graph, the sum of the work factor of the directional arc and prediction travel time of the directional arc is determined to be dynamic impedance of the directional arc, wherein the work factor of the directional arc is determined by the distance between the primary node of the directional arc and the terminal node and a speed threshold value, and prediction travel time of the directional arc is determined according to travel time of the directional arc acquired in previous M days and travel time of the directional arc acquired on the day; and a path of the minimum impedance of all the possible paths from the start node to the terminal node is determined to be the optimal path between the start node and the terminal node.

The invention discloses a road condition early warning method and device, electronic equipment and a computer readable storage medium, and the method comprises the following steps of determining key intersection information corresponding to a specified target; selecting one or more pieces of key intersection information corresponding to the current driving trajectory data from the determined key intersection information according to the current driving trajectory data of the specified target; and carrying out early warning according to the selected road condition information of the key intersection information corresponding to the current driving trajectory data. It can be seen that, by mining key intersection information corresponding to users, the technical solution provides users with personalized early warnings to enable users to avoid congested road sections, which prevents users from wasting time, avoids losses, better meets the needs of specified targets, improves user experience, and can avoid waste of resources caused by unnecessary early warnings.

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 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 an electric vehicle charging load estimation and modeling method, and aims to solve the problems that the precision of model evaluation is low due to the fact that the existing similar method rarely adopts CNN and LSTM to quickly obtain charging spatial-temporal characteristics of different time periods and different scenes, and the precision of model evaluation is low due to the fact that the existing similar method rarely adopts a BP neural network to fit the charging preference of a user. And a smooth charging road section channel at the charging station is established. The method is characterized by comprising the following steps: acquiring a travel track of an electric vehicle, mining a travel mode and a charging mode of an electric vehicle user, and performing spatial-temporal feature extraction on travel mode data and charging mode data in different scenes and different time periods by fusing CNN and LSTM; on the basis of the spatial-temporal characteristics, a BP neural network is adopted to integrate the traffic network state to realize time-phased estimation of the charging load; meanwhile, according to the method, a BP neural network is adopted, charging load prediction in different scenes and different time periods is achieved in combination with traffic states, and charging preferences of users are fitted.

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 discloses a navigation system for real-time detection on a vehicle flow and a speed in a route, which relates to the technical field of navigation systems. The system comprises a server; the server receives GPS position information; the server receives the position information of a GPS destination; the server receives data information of a real-time driving speed of a vehicle speed measurement instrument; the server outputs route planning information to the GPS; the server outputs data information to a microprocessor; the server outputs speed limit information along the route to the microprocessor; the GPS transmits the route planning information to a display; the GPS outputs the position information to the display; and the microprocessor outputs the data information to the display. Through analyzing the data by the microprocessor, information of the vehicle flow, the vehicle speed, speed increasing and speed decreasing is obtained, a road section with a relatively good traffic condition is subjectively selected for driving, and the problem of traffic jam in a main road is solved. The system has the advantages of real-time analysis, real-time best route planning and congested section avoiding.

The invention provides an auxiliary unmanned aerial vehicle, an emergency rescue system and an emergency rescue method, and relates to the technical field of emergency rescue. The auxiliary unmanned aerial vehicle comprises a fuselage, four rotor wings and a duct shell, and the four rotor wings are connected with the fuselage and arranged in the duct shell; an image transmission device, a charging device and a function expansion device are arranged on the vehicle body, the image transmission device is used for collecting image information and transmitting the image information to an emergency vehicle, the charging device is used for being connected with a charging pile on the emergency vehicle, and the function expansion device comprises at least one of an alarm, a megaphone and communication equipment. The auxiliary unmanned aerial vehicle is high in safety, the road condition in front of the emergency vehicle can be known in time, the optimal path is planned for the emergency vehicle, corresponding rescue measures are taken in time, and the rescue efficiency is improved.

The invention discloses a road condition information transmission system. The system runs in a cloud database and comprises the following modules: an obtaining module used for obtaining real-time road condition information by use of network service or traffic broadcast; a processing module used for performing classifying and screening processing on the real-time road condition information; and a sending module used for sending the processed real-time road condition information to road servers which forward the real-time road condition information to automobiles by use of street lamps. The invention further provides a road condition information transmission method. By using the system and method provided by the invention, users can change routes timely to avoid road congestion.

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.