416 results about "Trunk road" patented technology

System and method for real-time, automatic, recognition of large time-scale driving patterns employs a statistical pattern recognition framework, implemented by means of feed-forward neural network utilizing models developed for recognizing, for example, four classes of driving environments, namely highway, main road, suburban traffic and city traffic, from vehicle performance data. A vehicle control application effects changes in vehicle performance aspects based on the recognized driving environment.

A method and apparatus for conversion of traffic information based on traffic information element knowledge base are provided. According to the present invention, a road network is described using roads, intersections and sections as traffic information elements and a correspondence between these elements and a road topological network in a digital map is established, so that a universal traffic information describing model, which is compatible with language used in people's daily life, can be established. Further, a traffic information element knowledge base can be generated based on the roads, intersections and sections, their respective attributes and the relationship between them, to support inter-conversion between road topological network traffic information and text-based traffic information. With the universal traffic information describing model and the traffic information element knowledge base according to the present invention, it is possible to support fusion and conversion for traffic data from various sources and to support various forms of presentation and interaction for traffic information, such as presentation of traffic information on digital navigation map, textual description of traffic information, map presentation of traffic information for urban trunk roads, interaction for natural language queries of traffic information, etc.

The invention provides an intelligent networked transportation system for an overall road network. The intelligent networked transportation system comprises a sensing, communication and control modulefor managing the entire transportation system connected by road segments and nodes. When intelligent networked vehicles travel in a transportation network, they will route different types of road facilities such as basic road sections, highways, main roads, traffic bottleneck sections, interlaced and confluence sections, intersections, the start or last one kilometer if the road, parking areas, bridges, tunnels, multi-modal hubs, etc. These different sections and nodes in a transportation network have significant differences in geometric design and facility characteristics. The invention provides a specific intelligent networked system subsystem design to adapt to different types of road characteristics and achieve complete door-to-door travel.

The invention belongs to the field of traffic control and specifically relates to an efficient energy-saving speed guiding method based on the green wave control of urban trunk intersections. After the light color display situation of downstream intersections and the time needed by the dispersion of queuing vehicles behind stopping lines are synthetically considered, and the speed of traffic flows on urban trunks is guided from two aspects: when the condition that the vehicle can pass the downstream intersection at the current speed is detected, a stable driving speed is recommended to a driver, and if the vehicle is driven at the speed, the vehicle can pass the intersection controlled by downstream signals, without stopping; and when the condition that the vehicle can not pass the downstream intersection at the current speed is detected, an deceleration advice is given, the stopping and waiting time of the vehicle at the downstream intersection can be decreased as much as possible, and therefore, oil consumption is reduced. By using the method, the dispersion of vehicle queues can be avoided, the green light utilization ratio of the downstream intersection is increased, meanwhile, the purpose of umimpeded driving of the traffic flows on the trunk can be really achieved, and emission is decreased; and the speed guiding method has the advantages of simple control operation, good real-time performance and the like, and can efficiently guide the traffic flows on the urban trunks and improve the benefit of the green wave control.

The city traffic flow forecast and traffic information guidance system comprises the traffic information gathering subsystem, the communication subsystem, the traffic information integrated processing platform, the traffic information issuing subsystem and closed-circuit television monitoring subsystem. The traffic information gathering subsystem collects the traffic information of the scene, and transmits to the said traffic information integrated processing platform through the said communication subsystem, and the said traffic information integrated processing platform analyzes, integrates, and forecasts the traffic data, and then the real-time traffic information is directly transmitted to the traffic scene faced vehicles through the traffic information issuing subsystem. The invention can improve the passing efficiency of traffic system, and can significantly increase the drivers' understanding of the road traffic conditions, to adjust the arrived value of traffic volume, and make the arrived value of each trunk road to a balanced distribution, and avoid vehicles number exceeding over the actual capacity, thereby improving traffic jams, increase traffic smooth and traffic system operating efficiency.

The invention provides an urban trunk road vehicle trajectory reconstruction method based on fixed-point detector and signal timing data fusion. The method comprises the following steps: 1) establishing a basis matrix: determining a road occupation condition matrix Point[n, distance, t] at the t moment according to a vehicle running matrix Car [vehicle, t] at the t time, and then, calculating vehicle most probable running status at the t+t0 moment according to the road occupation condition matrix Point[n, distance, t], and thus a Car [vehicle, t+t0<->] constant iterative process is generated; 2) carrying out vehicle generating; 3) carrying out vehicle behavior decision; and 4) judging whether trajectory reconstruction is finished. The method has the advantages of fusing fixed-point detector and signal timing data, not depending on high-quality floating car data and demanding less on traffic data acquisition environment. The method is suitable for multilane and coming / going vehicle traffic interference cases, is wide in applicability, is complete and comprehensive in reconstructed trajectory, and can realize the functions of environment assessment, signal control coordination, travel time estimation and jam state early warning and the like.

The invention discloses a real-time traffic guidance method based on Internet of Vehicles and a roadside system. The real-time traffic guidance roadside system of the invention comprises multiple roadside devices arranged at intervals along two sides of a road, intelligent traffic lamps arranged at an intersection, a vehicle-mounted terminal arranged on a vehicle, and a backstage control center, wherein each roadside device is in wireless communication connection with the backstage control center via a 3G / 4G network; the roadside devices closed to the intelligent traffic lamps are in wireless communication connection with the intelligent traffic lamps; and the vehicle-mounted terminal of each vehicle driving in a coverage range of each roadside device is also in wireless communication connection with a corresponding roadside device via a wireless communication network. According to the roadside system of the invention, vehicle guidance and traffic lamp control can be realized, the display state of the traffic lamps can be adjusted according to factors such as a traffic flow and the environment in the Internet of Vehicles environment, the traffic jam phenomenon can be effectively lessened, the operational capacity of a trunk road is improved, and the operational capacity of the traffic system can be effectively improved.

The invention discloses a method for deducing a vehicular infrastructure-based connectivity model in an urban scene. According to the method, a trunk road network is defined and composed of a plurality of intersection gateways i1, i2...im, and the intersection gateways are adjacent to a group of roads r1, r2...rn, wherein n=m-1. Four attributes of connectivity of the trunk road network are modeled by acquiring the running speeds of all vehicles on each road in the trunk road network and the transmission range of an equipped vehicular network wireless communication device and collecting statistics on the vehicle density on the roads. According to the method, propagation of messages via the trunk road network composed of urban roads and intersection gateways is studied for the objective problems of low interconnection coupling degree and different application program demands in the vehicular network of the urban scene, four connection properties during vehicular network interconnection are formed, and a vehicular infrastructure-based connectivity model in the urban scene is proposed according to the properties, so that the method has an important theoretical guiding significance for the development of large-scale application of the vehicular network.

The invention relates to the field of traffic control and particularly discloses a dynamic coordinated control method for the bidirectional different requirements of a trunk road. The method comprises the following steps of (1) calculating a key intersection largest in traffic flow according to the historical data of a detection coil; (2) determining a plurality of different coordination strategies according to the different traffic requirements in the up and down directions of the key intersection, and calculating a coordinated timing plan in different coordination strategies through constructing a model; (3) finally, according to the traffic flow monitored in real time, voting and determining an optimal coordination strategy. According to the invention, the method can meet different traffic requirements in the two ways of a trunk road. By adopting the method, the traffic efficiency of the trunk road can be effectively improved, and the traffic jam of the trunk road can be relieved. Therefore, the travel time of citizens can be saved. Meanwhile, the energy consumption of vehicles can be saved, and the pollution of the traffic environment can be reduced.

The invention provides a pedestrian crossing early warning device and monitoring system. The device comprises an internet of things sensing unit, a big data model analysis unit, a control unit and analarm unit. The internet of things sensing unit realize all-weather real-time detection of trunk / branch road vehicles and crossing pedestrians. The big data model analysis unit determines an intersection safety early warning level according to the detection information. The control unit provides pedestrians passing through zebra crossings and vehicles with safety early warning information according to output drive commands. The alarm unit performs safety early warning. The device can provide early warning information for pedestrians on the two sides of zebra crossings who are about to cross streets and provide passage information prompt for vehicles which run on branch roads and crossroads without signal control in villages and are about to run to trunk roads, thereby effectively reducingtraffic accidents caused by collision of vehicles from trunk roads and branch roads. The invention also provides the third-party monitoring system which can comprehensively monitor all the front end devices in the range of road networks and provide effective support data for planning and management of pedestrian crossing of slow traffic and apparatus operation and maintenance.

A system and method for making computer-generated maps includes a different scale factor for each road in a route. The scale factors are used to optimize the route map against a target function that considers factors such as the number of false intersections in the route and the number of roads falling below a minimum length threshold. A refinement technique such as simulated annealing is used to find a solution to the target function. Each road in the scaled map is rendered to provide a finished product having the appearance of a hand-drawn map. The finished product includes context roads that intersect the main route but are not part of the main route. Furthermore, the hand-drawn map is optimized to the characteristics of the viewport used to visualize the map.

The invention discloses an intelligent traffic control method for traffic signal lamps of the smart city. The method comprises that the congestion indexes of roads of crossings are obtained periodically, and the congestion indexes of trunk roads are stored in a trunk road crossing state table; if the congestion index of any road is greater than the first threshold, the trunk road crossing state table is inquired to obtain identification of the main trunks as well as allowance identifications of upstream and downstream crossings; if signal lamp linked control is allowed in crossings adjacent to the main trunk on the basis of the allowance identifications of upstream and downstream crossings, the trunk road crossing state table is inquired to obtain a first congestion index and first green light passing time corresponding to the identification of the main trunk, a second congestion index and second green light passing time of the adjacent upstream crossing, and a third congestion index and third green light passing time of the adjacent downstream crossing; and the green light passing time in the main trunk direction is controlled in a linked manner based on the congestion indexes and the green light passing time. The method of the invention can be used to guide vehicles in the main trunk road rapidly and avoid traffic jam from becoming serious.

The invention discloses an urban trunk road two-way green wave control optimization method based on a road section speed interval. Through historical vehicle driving speed data, a driving speed fluctuation interval is quantized, and phase green time is coordinated and phase difference parameters are optimized in a condition in which the vehicle speed is uneven. On the basis of fully considering road section speed stochastic fluctuation and non-coordinated phase passing requirements, a trunk road two-way coordination control optimization method with maximization of a green wave band width between adjacent two crossings as a target is brought forward, overlapping test is carried out, and thus a phenomenon that the green wave band may be broken can be prevented. Defects that an average vehicle speed assumption is adopted traditionally, and unevenness of the vehicle speed is neglected are overcome, the trunk road traffic flow operation efficiency can be effectively enhanced, operability of actual applications can be ensured due to good practicality features, and positive significance is provided for building an urban road traffic signal control optimization system and enhancing an urban traffic management and control level.

The invention relates to an intersection-traffic control method giving priority to trunk roads, which is characterized in that the mode of controlling traffic lights on a trunk road is to simultaneously allow or stop the running of vehicles on all lanes in the same driving direction, and to allow the running of the vehicles in the driving direction of an opposite trunk road respectively; the mode of controlling the other roads is to allow the running of the vehicles on a right-turn lane on the premise of not affecting the running of the vehicles on the trunk roads when the vehicles on the trunk roads are allowed to run, and to allow the vehicles on the other lanes to run when the running of the vehicles on the trunk roads is stopped. The method controls clearance time and clearance modes of different roads according to the road traffic conditions of intersections, and preferentially allows the vehicles on the trunk roads to go when traffic jams occur on the trunk roads. The method has the advantages of better utilizing the traffic capacity of road intersections, effectively ensuring no jams on the trunk roads, improving the vehicle-passing capacity of the intersections and easing the prior traffic pressure.

A trunk road vehicle speed planning method based on single intersection traffic signal information includes the following steps that (1) data of the nearest traffic signal lamp are obtained; (2) the distance between a vehicle and the nearest traffic signal lamp is obtained; (3) the time range of the vehicle passing through a traffic intersection is determined; (4) an optimized vehicle speed is calculated; (5) whether the optimized vehicle speed has a computed result is judged, the step (6) is turned to if the optimized vehicle speed has the computed result, and otherwise the vehicle runs at a planned vehicle speed and the step (7) is turned to; (6) the vehicle runs at a constant initial speed and then runs at an accelerated speed or a decelerated speed; (7) the vehicle runs at the accelerated speed or the decelerated speed and then runs at the constant speed; (8) whether the vehicle runs at a too low initial speed for a long time in the step (6) is judged, and if the vehicle runs at the too low initial speed for a long time in the step (6), the step (9) is turned to; (9) accelerated running time, constant speed running time and braking time are calculated; (10) whether the vehicle needs to pass through the next intersection is judged, if the vehicle needs to pass through the next intersection, the step (11) is turned to, and otherwise the vehicle arrives at the destination.

The invention discloses a trunk road section classification method under green-wave coordinated control. According to inherent attributes of a road section and changes of traffic parameters, similarities of adjacent intersections and road sections, and constraints of traffic flow models and traffic flow density in a macroscopic fundamental diagram are utilized to divide one trunk line into a plurality of road sections, on that basis, the coordinated control is carried out; the trunk road section classification method under the green-wave coordinated control uses the road attributes in the macroscopic fundamental diagram for classifying the road section with larger changes of the trunk line traffic parameters to solve the problem that the green-wave coordinated control of the traffic trunk line is narrow in bandwidth. Furthermore, the method is based on real-time data, so that the dynamic adjustment and real-time feedback functions are achieved, and the adaptability and accuracy of the method are increased.

The invention provides data fusion system and method for controlling balance of multi-intersection traffic flow of a trunk road. In the method, data fusion of balance indexes of multiple intersections of the trunk road is realized by weighted expected values of balance indexes of all intersections included in the trunk road by defining the trunk road including two or more intersections. The method comprises the following steps of: acquiring average queue length of traffic lanes at the intersections; and performing fusion of balance indexes of the intersections; and performing data fusion of balance indexes of multiple intersections of the trunk road. The invention has the advantages of universality, comprehensiveness and flexibility and can be popularized to perform data fusion of balance indexes of multiple intersections of multiple trunk roads in an area.

The invention relates to a traffic station and an entering and exiting method for a magnetic navigation unmanned electric intelligent vehicle. The traffic station comprises an entrance, an exit, a platform, a shielding barrier, a temporary stopping area, a trunk road, guiding magnetic nails and an arbitration terminal, wherein the trunk road comprises an entering road, an inverted storehouse road and an exiting road; the entrance is connected with the entering road; the entering road is connected with the temporary area; the temporary area is connected with the inverted storehouse road; the inserted storehouse road is connected with the platform; the platform is connected with the exiting road; the shielding barrier is arranged on the platform; the guiding magnetic nails are paved on the entering road, the inverted storehouse road and the exiting road; the arbitration terminal is arranged in the platform; and the platform comprises a platform stall. Compared with the prior art, the traffic station has the advantages that the magnetic navigation unmanned electric intelligent vehicle can be guided to enter the station or exit from the station correctly and efficiently; the work efficiency of a traffic system of the magnetic navigation unmanned electric intelligent vehicle is improved; and the human intervention degree and the whole cost are reduced.

The invention relates to an interference-free urban road transportation network facility and a running method thereof, in particular to an interference-free urban road transportation network facility which formed by connecting an interference-free urban transportation trunk road network facility and a plurality of interference-free region road transportation network facilities and a running method thereof. The conventional urban road network facility has a grid shape of crossing the trunk with branch roads, and has dense crossed intersections and extremely low running capacity so as to cause severe traffic jam. The invention changes the conventional urban road network facility structure, employs the technology of turning around, one-way running, running on the left, designing annular lanes and interference-free interaction of the trunk network and an area network, provides the urban road transportation network facility with the advantages of novel structure, no running conflict node, interference-free and uninterrupted running of the vehicles and no traffic light, and the running method thereof, and has the advantages of high vehicle running efficiency, low manufacturing cost, and capacity of modification on the basis of the conventional urban road network facility.

The invention is a method and system for determining city ground road network traffic conditions, determining intersections, city trunk roads and city trunk road network layer by layer, and giving a system structural diagram; for city trunk roads, advancing 'equivalent traffic capacity' concept and determining method; thus, adopting 'density ratio' index, and calculating service level nominal values of trunk roads according to the given service level nominal value curve and making determination; based on the determined results, adopting 'weighted density ratio' index to determine service level of trunk roads; identifying crowded regions, crowded trunk roads and crowded intersections layer by layer according to the corresponding determined results, thus able to reflect total conditions of a city road system.

The invention relates to a design method for improving the traffic of a T-shaped road intersection based on asymmetrical traffic requirements. The design method comprises the following steps: cancelling a pedestrian crosswalk (12) with lower crossing requirements in a trunk road, and setting an oblique crosswalk with a trunk road sidewalk as a starting point and a crossing point of the pedestrian crosswalk (12) and a corner traffic island (1) as a final point; setting a twice-crossing safety island (6) at the center of the road intersection, and setting a safety island divided block (8) on the safety island (6), and setting a safety island guide line around the safety island (6); extending a straight-going vehicle entry lane at the side of the cancelled pedestrian crosswalk (12) as a zigzag stop line (9) and a left-turning waiting zone (10); and setting a left-turning guide line (5) in the road intersection, and setting signal lights at the starting point and the final point of the oblique crosswalk to realize the same phase traffic of pedestrian on the oblique crosswalk and left-turning vehicles on the cross road. With the adoption of the method, the traffic area of the T-shaped intersection is improved, and the traffic conflict is reduced; and the method is applied to T-shaped intersections with large left-turning vehicle flow at the cross roads, asymmetrical requirements for pedestrians to cross the street and lower vehicle speed.

The invention relates to the technical field of traffic signal optimization control at a plurality of intersections of a trunk road, in particular to a trunk road cooperative signal machine control method based on a radar detector, which uses a radar vehicle detector to realize an optimization processing of a traffic signal control scheme at intersections of a trunk road. The method includes: radar detector installation at respective intersections; data acquisition and communication at a single intersection; data networked acquisition and storage at intersections; and cooperative signal machine control algorithm processing at the trunk road; and signal command release and signal light control. The method uses radar detection data acquisition technology, can accurately detect the traffic state of the intersections of a trunk road, develops an optimal signal control scheme, provides an optimal decision and emergency plan for the traffic signal light control of the trunk road, improves the traffic efficiency at the intersections, and effectively alleviates congestion at the intersections.

The invention discloses a roadside parking charging system based on an intelligent inspection robot and an RSU. The roadside parking charging system comprises a mounting frame, a track, the intelligent inspection robot, an RSU antenna and a background management system, wherein the RSU antenna identifies and reads OBU information of a vehicle through adopting a DSRC technology; when an ETC vehicleuser drives into a parking space for parking, the intelligent inspection robot identifies the vehicle, compares the vehicle with the vehicle identified by means of the RSU antenna, and records that the ETC user parks if the comparison is successful; and when the ETC vehicle drives out of the parking space, the intelligent inspection robot identifies vehicle departure, upload information and records that ETC user leaves, the RSU antenna identifies vehicle departure and uploads the information to the background management system when the vehicle runs from any main road section provided with theRSU antenna, and fee deduction is automatically carried out from an ETC card of the ETC vehicle user. The roadside parking charging system is based on the volume of ETC users, parking can be carriedout without any operation, the passing efficiency is improved, and the problem of difficult parking is solved.

The invention relates to the field of intelligent urban transportation, in particular to a method relying on intelligent urban transportation capable of identifying license plates through collection of RFID videos. According to the method, most main streets of a city are covered by relying on an intelligent transportation double-base station capable of collecting RFID videos, RFID electronic tags are pasted to vehicles, and true license plate numbers and colors of the vehicles are recorded in data of the RFID electronic tags. By the adoption of the method, statistical analysis is conducted on data, calculated every day, of vehicles with suspected fake plates, the accuracy of identified results is approximate to 100%, final artificial judgment is not needed, and efficiency is greatly improved.

The invention provides a multiple dimensioned residential area matching method facing space division; the method comprises the following steps: selecting a to-be matched map trunk road network, segmenting the to-be matched map space into a plurality of road network meshes, and matching the road network meshes between different scales; building blank area frame lines under the matched road network meshes, and dividing the road network meshes into groups and blank area frame line network meshes; dividing space of each road network mesh of the small scale map according to same steps; building blank area frame line network meshes of the large scale map, and extracting residential area groups in each road network mesh; matching the residential area groups, blank area frame line meshes and residential area entities in different scale maps grade by grade, thus finally obtaining the mapping system using the blank area frame line network meshes as units between different scale maps; the multi-grade space division and progressive matching method can enhance the entity matching accuracy and credibility between residential areas of different scales.

The invention discloses an optimize system for urban trunk road cross-sections, which comprises a medial strip, a motorway, a non-motorized strip, a non-motorized vehicle lane, a concave green belt and a sidewalk in sequence, wherein a rainwater garden, a first grass planting shallow trench, a gravel pool and a sand setting rainwater inlet are arranged in the non-motorized strip; first vertical curbstones are respectively arranged on two sides of the medial strip; a second grass planting shallow trench is formed in the medial strip close to the vertical curbstones; an intermittent gap vertical curbstone is arranged on one side, close to the motorway, of the non-motorized strip; a first flat curbstone is arranged at a gap of the intermittent gap vertical curbstone to form a rainwater inlet; a punching, seeping and discharging pipe and a first overflow port are arranged in the rainwater garden; a rainwater connecting pipe is arranged below the non-motorized vehicle lane and is in mutual communication with a municipal rainwater pipeline; the rainwater treatment method comprises the following steps: runoff rainwater treatment in the motorway and runoff rainwater treatment in the sidewalk and the non-motorized vehicle lane. The runoff rainwater treatment in the motorway comprises the following steps: precipitating, filtering, concentrating and discharging.

The invention discloses an urban trunk road vehicle travel time real-time prediction method based on Internet of vehicles, belonging to the technical field of intelligent traffic. The method comprises the steps of (1) obtaining the queue cumulative shock wave velocity and queue dissipation shock wave velocity of a road to be researched in a previous signal control cycle, and calculating the maximum queuing length of vehicles and the queuing length in maximum queuing delay of the road to be researched in a current signal control cycle, (2) with the red lamp end time of a previous signal control cycle of the road to be researched as a time origin, determining the four critical time points of the current signal control cycle, and (3) calculating the travel time prediction value of a vehicle to be researched at the road to be researched according to the time period determined by the time point that the vehicle to be researched enters into the road to be researched and the four critical time points. According to the method, the accurate and real-time prediction of the travel time of any vehicle in an urban trunk can be realized.

The invention discloses method and bridge for realizing the continuous passing of vehicles at level crossing by utilizing U-shaped rotary bridges. A pair of U-shaped rotary bridges are symmetrically arranged on two sides of a major road of the level crossing, are parallel symmetrical to the forward direction and the backward direction of the major road, and inclined upwards; an upper approach bridge and a lower approach bridge of the U-shaped rotary bridges respectively correspond to a straight lane on the outer side of the major road, the circular arcs at the bottoms of the U-shaped rotary bridges are foot bridges, the upper approach bridge and the lower approach bridge is heightened gradually to be connected with the foot bridges so as to form a three-dimensional U-shaped rotary bridge; the U-shaped rotary bridges are arranged on the major road, so that the grade crossing between running vehicles on the secondary main road and the vehicles on the major road can be avoided by the U-shaped rotary bridges, the continuous passing at the junction can be realized, and the problem that the vehicles can not turn left on a high level bridge can be solved; and the defects of large occupying space, high construction cost and long construction period caused by the continuous passing at the junction realized by the multi-layer spanning of an overpass can be solved.

The present invention relates to a viaduct bridge for crossroads. It is characterized by that said viaduct bridge has no need of traffic light signal to make traffic control. Said viaduct bridge has two-way straight-going lane bridge floor, on the two-way straight-going lane bridge floor respectively are set at least two lanes, on the outer lanes of two sides of the bridge floor respectively are set forked branch lane for going down from bridge floor and forked branch lane for going up bridge.