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176 results about "Traffic optimization" patented technology

Traffic Optimization are the methods by which time stopped in road traffic (particularly, at traffic signals) is reduced.

Method and apparatus for analyzing road congestion state and detecting illegal parking

The invention discloses a method and apparatus for analyzing road congestion state and detecting illegal parking. The device is composed of at least one detection matrix; the detection matrix is composed of a power source module, a detection matrix operation ARM processor, a matrix data storage chip, a wireless data transmission module, sampling ARM processors and infrared ranging sensors; the infrared ranging sensors are spliced together in a row*column manner, so that the detection matrix can be formed; according to the detection matrix, the distance from the detection matrix to the surface of a road is measured through the infrared ranging sensors, so that whether illegal vehicles or vehicle behaviors exist on the road can be judged; the infrared ranging sensors in each row are at least connected with one sampling ARM processor; the sampling ARM processors communicate with the detection matrix operation ARM processor; and therefore, summary operation of sampling data and recognition and judgment of vehicle behaviors can be completed. With the method and apparatus of the invention adopted, the behaviors of the vehicles on the road can be detected real time, and decision-making basis can be provided for traffic management departments in road unblocking and traffic optimization.
Owner:厦门京福通信有限公司

Comprehensive energy-saving control method and method integrating optimized manipulation and traffic scheduling for urban rail transit

The invention discloses a comprehensive energy-saving control method and method for integrating optimized manipulation and traffic scheduling for urban rail transit. The method comprises the following steps of collecting train scheduling information, train operation parameters and train road condition information according to a train operation line; partitioning and dividing the train operation line into a plurality of segments, and obtaining an accelerating stage and a regenerated brake stage according to the train road condition information of each segment; establishing N traffic scheduling control sequences according to accelerating points and regenerated brake points in the segments, train departure intervals and train operation number, and constructing N traffic scheduling control models according to the N traffic scheduling control sequences; calculating the total energy consumption of each traffic scheduling control model so as to obtain the traffic scheduling control model corresponding to the lowest total energy consumption; and obtaining a traffic scheduling control timetable according to the traffic scheduling control model corresponding to the lowest total energy consumption. The timetable has the advantages of being capable of coordinating the balanced relation among the train number, the operation parameters and regenerated brake in a self-adapting manner, high in calculating efficiency, precise in computation and the like.
Owner:GUANGXI UNIV

An urban rail transit energy-saving time table and an operation curve optimization method

The invention relates to the technical field of urban traffic optimization, in particular to an urban rail transit energy-saving time table and an operation curve optimization method, and the method comprises the steps: S1, obtaining the basic data of an urban rail train, an urban rail line and an urban rail operation time table; S2, aiming at the operation process of a single train between singlestations, obtaining energy-saving operation speed curves of the single train between the stations at different operation times; S3, aiming at the operation process of the single train among a plurality of stations, obtaining an energy-saving interval operation time distribution scheme and a corresponding speed curve; S4, calculating the traction acceleration time length and the braking deceleration time length of each inter-station speed curve obtained in the step S3; S5, aiming at the operation process of multiple trains among multiple stations, obtaining an energy-saving departure intervaland stop time; S6, outputting an optimization result. The energy-saving operation speed curve is short in calculation time and small in error; traction energy consumption among multiple stations is reduced, and the regenerative braking feedback energy utilization rate is increased.
Owner:SOUTHWEST JIAOTONG UNIV

Storm task deployment and configuration platform with cluster adaptability

The invention discloses a Storm task deployment and configuration platform with cluster adaptability, and belongs to the field of real-time streaming data computing and processing. Through the platform, a Storm cluster can sense internal communication traffic among nodes and remaining resources, and perform running process number configuration self-adjustment according to a topology task demand published by a user and the cluster remaining resources, so that the limitation of the need of artificially specifying a process number in a conventional Storm scheduling method is broken through. A friendly centralized communication traffic monitoring interface is provided for the user by the platform, and is convenient for the user to call in a task program, so that load and resource awareness is realized. Moreover, a one-phase commitment scheduling method which is different from a conventional Storm two-phase commitment scheduling method is implemented on the platform in an embedding way, and communication traffic optimization among different processes at the same node is realized. Through adoption of the Storm task deployment and configuration platform, optimal scheduling can be realized by setting of basic optimization threshold parameters, and great convenience is brought to a cluster user and a manager.
Owner:DALIAN UNIV OF TECH

Single-intersection traffic signal optimization control method based on public transport priority

The invention discloses a single-intersection traffic signal optimization control method based on public transport priority, and the method comprises the steps: S1, building a single-intersection traffic signal timing optimization model based on the public transport priority, and calculating a target function; S2, initializing the position and speed of each particle in a particle swarm through employing a chaotic strategy, calculating the adaptability value of the particles according to the target function, and setting the overall initial optimal solution of the current particle swarm and the initial optimal solution of the particle individuals; S3, judging whether the position and speed of each particle in a solution space of the target function are convergent or not according to the concentration degree of the particle swarm: outputting the optimal solution in the solution space if the position and speed of each particle in the solution space of the target function are convergent; S4, updating the position and speed of each particle according to an adaptive inertia weight if the position and speed of each particle in the solution space of the target function are not convergent, carrying out the iterative updating of the overall optimal solution of the current particle swarm and the initial optimal solution of the particle individuals, returning to and carrying out step S3 till the position and speed of each particle in the solution space of the target function are convergent, and outputting the optimal solution; S5, carrying out the single-intersection traffic optimization control based on public transport priority according to the priority. The method enables the delay of a bus to be minimized.
Owner:GUANGDONG UNIV OF TECH

Traffic management method based on coordination of vehicles and roads

The invention discloses a traffic management method based on coordination of vehicles and roads. The traffic management method based on the coordination of the vehicles and the roads comprises the steps that the intercommunicating Internet of Things is established based on all communication modules arranged in roadside fixed detection equipment; real-time acquired traffic stream information, imageinformation and vehicle information of vehicles driven on the roads are subjected to edge computing; vehicle behavior high-dimensional information obtained by the edge computing are transmitted through the Internet of Things; real-time guidance information of traffic control equipment corresponding to the roadside fixed detection equipment is acquired, the vehicle behavior high-dimensional information combines with a preset traffic optimization model to perform traffic optimization on the real-time guidance information, and the real-time guidance information is obtained; and the real-time guidance information is transmitted to the traffic control equipment through the Internet of Things, and the traffic control equipment is subjected to traffic optimization management. According to the traffic management method based on the coordination of the vehicles and the roads, real-time coordinated management of the traffic control equipment is realized according to the current traffic state, so that the rationality of resource allocation is improved; and the purpose of coordinated management of the vehicles and the roads is achieved, and the accuracy of the traffic optimization managementcan be improved.
Owner:ZHEJIANG FONDA CONTROL TECH

Auto-ip traffic optimization in mobile telecommunications systems

A system and method for the implementation of fine-grained quality of service in a mobile telecommunications environment uses an Auto-IP Policy Decision Point (PDP) to determine what traffic optimizations actions should be taken in reaction to various network conditions. The Auto-IP PDP uses as inputs information from a Gb interface probe to determine the user identification of an IP data flow, information from the radio access network (RAN) network management system (NMS) regarding network congestion. The cell traffic information is passed onto a traffic analysis and processing engine, the Auto-IP PDP which maps the real-time traffic information into an n-dimensional traffic model. An automated policy decision guiding algorithm is executed on the n-dimensional traffic model and selects policy based on the traffic and cell congestion conditions, without human intervention. Additionally, a consistency check is performed to ensure that new policies are consistent with existing policies. The policy decision outcome is forwarded to the Auto-IP Traffic Optimizer that acts on the network at a point in the network (Gi) that is different from where traffic problem occurs in the RAN. The Auto-IP Traffic Optimizer implements the decisions of the Auto IP-PDP by performing traffic shaping, TCP window clamping or other traffic optimization procedures on a cell-by-cell basis.
Owner:TELCORDIA TECHNOLOGIES INC
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