161 results about "Transportation planning" patented technology

A lane-level vehicle routing and navigation apparatus includes a simulation module that performs microsimulation of individual vehicles in a traffic stream, and a lane-level optimizer that evaluates conditions along the candidate paths from an origin to a destination as determined by the simulation module, and determines recommended lane-level maneuvers along the candidate paths. A link-level optimizer may determines the candidate paths based on link travel times determined by the simulation module. The simulation may be based on real-time traffic condition data. Recommended candidate paths may be provided to delivery or service or emergency response vehicles, or used for evacuation planning, or to route vehicles such as garbage or postal trucks, or snowplows. Corresponding methods also may be used for traffic planning and management, including determining, based on microsimulation, at least one of (a) altered road geometry, (b) altered traffic signal settings, such as traffic signal timing, or (c) road pricing.

A time-phased forecasting and replenishment system (20) for a retail supply chain for inventory management, financial management, capacity planning and transportation planning. A computer(s) (28) create time-phased plans for one or more retail facilities, such as various types of retail stores (23) and / or various types of suppliers (24). The system calculates projected sales for each product at each facility and calculates projected replenishment shipments between facilities and suppliers a specified number of weeks into the future. The calculated forecasts and replenishments are done in ways that account for the unique needs of retail organizations, and allow efficient processing and storage of the large data volumes typical in many retail organizations. In particular the system has specified logic for handling low-volume products, and has a transportation and capacity planning component that benefits retail stores. Also, the system is designed to operate on a continuous basis if desired.

The invention discloses a traveler home-work location identification and trip chain depicting method based on mobile phone signaling data, and belongs to the field of analysis of transportation planning data. The method comprises the steps of: triggering an information database by communication network records provided by a mobile network operator; after cleaning, integrating and calculating by using a position conversion algorithm, converting the data of the operator into a reference dataset; aiming at each user, converting the dataset into a mobile time-space trajectory, identifying stopover points, high frequency points and long time points in the mobile time-space trajectory, and on the basis, identifying home-work locations, activity target locations and insignificant stopover points; and finally depicting a closed trip chain of the user by being combined with the mobile time-space trajectory. The traveler home-work location identification and trip chain depicting method based on mobile phone signaling data has the advantages of being conductive to reducing trip survey costs of residents, obtaining more precision trip characteristics of crowds with different identities, and thereby allowing the traffic demand forecasting to be more accurate; and 2, being conductive to improving scientificity of planning layout construction, such as transport corridors, public transit networks and traffic facilities, in urban traffic planning.

A time-phased forecasting and replenishment system (20) for a retail supply chain for inventory management, financial management, capacity planning and transportation planning. A computer(s) (28) create time-phased plans for one or more retail facilities, such as various types of retail stores (23) and / or various types of suppliers (24). The system calculates projected sales for each product at each facility and calculates projected replenishment shipments between facilities and suppliers a specified number of weeks into the future. The calculated forecasts and replenishments are done in ways that account for the unique needs of retail organizations, and allow efficient processing and storage of the large data volumes typical in many retail organizations. In particular the system has specified logic for handling low-volume products, and has a transportation and capacity planning component that benefits retail stores. Also, the system is designed to operate on a continuous basis if desired.

Using data from a wireless telephony network to support transportation planning and engineering. Data related to wireless network users is extracted from the wireless network to determine the location of a mobile station. Additional location records for the mobile station can be used to characterize the movement of the mobile station: its speed, its route, its point of origin and destination, and its primary and secondary transportation analysis zones. Aggregating data associated with multiple mobile stations allows characterizing and predicting traffic parameters, including traffic speeds and volumes along routes.

The present invention comprises a method for forecasting future economic conditions, land utilization and transportation network utilization and performance of a metropolitan area having a plurality of economic zones, the method includes the steps of: a) receiving a set of calibration values from a first input device; b) calculating a set of calibration constants with a first arithmetic logic unit; c) receiving a set of initial values for a set of desired outputs from a second input device, wherein the set of desired outputs includes regional economic, land use and transportation outputs; d) calculating the regional economic and land use outputs with a second arithmetic logic unit, wherein the regional economic and land use outputs include a first group of variable travel demands; e) calculating an origin to destination matrix with a third arithmetic logic unit, wherein the origin to destination matrix includes two-way daily person trips between an origin economic zone and a destination economic zone; f) calculating the transportation outputs with a fourth arithmetic logic unit, wherein the transportation outputs include a second group of variable travel demands; h) repeating steps d) through f) until the first group of variable travel demands is substantially the same as the second group of variable travel demands; and, g) providing the set of desired outputs to an output device.

The invention provides a modeling method of the characteristics of population space-time dynamic moving based on multisource data fusion. The modeling method comprises: A. inputting map data, mobile phone locating data and floating vehicle data into a system and managing data organization according to requirements; B. establishing a spatial analysis model of the characteristics of population moving based on the mobile phone locating data and the floating vehicle data; C. applying the spatial analysis model of the characteristics of the population moving to carry out multisource data fusion of the map data, the mobile phone locating data and the floating vehicle data to obtain integrated information of the characteristics of the population moving; and D. analyzing the characteristics of various population moving according to the integrated information of the characteristics of the population moving and publishing an analyzed result by the geographic information system. The modeling method can acquire data of urban population space-time dynamic distribution and moving characteristics with large data amount, high quality and space-time characteristics, obtain basis of accurate population distribution and population moving characteristics, and provide decision-making supports for urban planning, land use planning, transportation planning and the like.

The invention relates to a method for analyzing a traffic network, comprising the steps of: importing, organizing and managing geographic data, mobile phone base station positioning data, road network data and public transportation net data to obtain base data; comprehensively processing the base data and establishing a population travel time-space characteristic model to obtain the comprehensive data; and analyzing the traffic management according to the comprehensive data. In combination with the mobile phone base station positioning data, the public transportation network data, the road network data, and the like, the traffic network analysis method ensures that the population travel information dynamic change is obtained, the traffic information based on the population travel characteristic is found, and the service quality reliability is analyzed through a traffic topology network, traffic accessibility and relative analysis. The invention provides convincement and effective decision support for traffic management, traffic plan, land utilization planning, urban planning, and the like, can effectively improve the use ratio of public traffic and a road network, relieves the pressure of the urban traffic, and provides a method for solving the problems in traffic management and traffic planning.

The invention provides a method of judging a mode of transportation of a train chain based on a GPS (Global Positioning System) positioning and fuzzy theory. The method comprises the steps of carrying out GPS positioning to a traveler, and collecting personal attribute data; preprocessing the collected GPS data, and dividing a travelling section to a behavior of the traveler; carrying out fuzzy identification on the travelling section, and judging the travelling way of the traveling section; and finally, judging a travelling way which is judged to the travelling of a motor vehicle again, and judging whether the travelling way is either a car travelling way or a bus travelling way. According to the method provided by the invention, a smart mobile phone, a GPS positioning technology and other technologies can be combined to be convenient and comprehensive to obtain the travelling data of the traveler and the personal attribute data, dividing the travelling of the traveler practically, and analyzing and processing the aforesaid information based on the fuzzy theory, the personal attribute data of the traveler and the like; furthermore, compared with the prior art, the mode of transportation of a resident can be more accurately obtained, and the effectively data references can be provided to traffic rules, traffic demand forecasting and the like.

The invention discloses a method of comprehensively judging a resident trip mode based on handset signaling data, which belongs to the transport planning and management data analyzing field. A data source is from handset signaling data provided by mobile network service providers. Data cleaning, integrating and position conversion are further performed. A resident trip mode is further judged by mobile space-time path describing and stopover point identifying. The method which can effectively discriminate seven common trip modes including walking, bicycling, routine bus, electric vehicle, self-driving, taxi and rail transit thus acquires trip mode information of residents. A data basis is further provided for fields of special traffic programs, comprehensive traffic programs and intelligent traffic systems of cities, etc.

The invention discloses a method for acquiring and predicting road traffic flow. According to the method, an annular sensing coil, a vehicle detection module, a traffic flow acquisition module and traffic flow data pre-processing and prediction software are adopted. The road traffic flow data pre-processing and prediction software runs in an upper computer (a personal computer (PC)) and is used for reading traffic flow data in the traffic flow acquisition module (a security digital (SD) card) through a network interface. In order to improve the reliability of prediction, a method for pre-processing and predicting the road traffic flow data comprises the following steps of: firstly, de-noising the traffic flow data by using a wavelet analysis method and a least square method; and secondly, establishing a traffic flow prediction model by using an improved back propagation (BP) neural network, so that prediction of the traffic flow is realized, and reference is provided for a control timing scheme for road traffic optimization and road traffic planning. The method has the advantages that: road traffic parameters such as vehicle flow, average vehicle speed, occupancy and traffic density in a rated period can be obtained, so that the prediction of the road traffic flow is realized, and the accuracy of data acquisition and the accuracy of prediction of the road traffic flow are improved.

The invention discloses a routine public transit network optimization and adjustment method based on cellphone signaling data, and the method comprises the following steps: cellphone signaling data processing, region traffic feature extraction, and public transit network dynamic optimization. The method takes the existing theoretical research as the basis, combines with practical experience and research results in a public transit network optimization project, organically combines a qualitative analysis method and a quantitative analysis method, enables a line optimization method to accord with the actual condition of public transit network optimization in a better manner, is higher in operability, and provides optimization decision support for a bus company and related administrative departments in the public transportation planning and management. The method achieves the purposes that the number of straight passengers of the public transit network is the largest, the construction cost of a bus system is the lowest, and the number of transfer times of passengers is the smallest. The method can improve the bus service level, improves the bus reachability, and effectively alleviates the traffic congestion.

A transportation planner and route calculator for alternative travel methods that recommends alternative modes of transport relating to the preferences of the user. Recommendations draw upon preferences generated from the user's profile which is made up of inserted information from the user, travel historical log, a settings application and a method of auto adjusting the user's profile. A calculator unit retrieves one or more generated attributes of the user and obtains various related information such as available public transport, weather forecasts, historical travel log, to calculate travel options that best suit the users needs. The application constantly updates the users profile based on the users travel patterns and preferences, as the application learns more about the user the better the application becomes at recommending travel routes that suite the user's requirements.

The invention provides a commuting traveling characteristic analysis method based on license plate data. The method includes: (1) acquiring detection data of road network intelligent toll-gate devices and urban static information; (2) performing data quality examination on vehicle license plate original data detected by the intelligent toll-gate devices, obtaining effective vehicle license plate data, integrating the effective data according to a time sequence, and analyzing the traveling types of the vehicles; (3) extracting license plate data information of urban commuting vehicles, and constructing traveling chain data of the commuting vehicles; and (4) performing statistics on traveling information of the commuting travelling vehicles, analyzing the resident leisure activity condition, the resident commuting traveling time and distance, and the resident traveling demand, and obtaining a resident traveling rule. According to the method, the commuting traveling characteristics of resident private vehicles are analyzed through data of a lot of license plates, statistics and analysis of the resident traveling demands are realized, support data is supported for a traffic planning model, the traffic demand management level is improved, and the problem of traffic jam is effectively alleviated.

The invention belongs to the urban traffic planning field and relates to a common residential district unoccupied parking space optimized utilization system and method. The common residential district unoccupied parking space optimized utilization system includes a residential district parking space information management platform and a client operation end; the residential district parking space information management platform comprises a parking space information collection and registration unit, a parking space information display unit, a positioning navigation unit and a parking prepaying unit; the parking space information collection and registration unit is used for obtaining residential district parking space information and parking space use condition information, transmitting the information to the parking space information display unit, and feeding back parking space use time to the parking prepaying unit; the parking space information display unit is used for displaying the parking space information and the parking space use condition information; and the positioning navigation unit is used for obtaining parking space geographic positions. With the common residential district unoccupied parking space optimized utilization system and method of the invention adopted, the utilization rate of unoccupied parking spaces in residential districts can be improved.

A lane-level vehicle routing and navigation apparatus includes a simulation module that performs microsimulation of individual vehicles in a traffic stream, and a lane-level optimizer that evaluates conditions along the candidate paths from an origin to a destination as determined by the simulation module, and determines recommended lane-level maneuvers along the candidate paths. A link-level optimizer may determines the candidate paths based on link travel times determined by the simulation module. The simulation may be based on real-time traffic condition data. Recommended candidate paths may be provided to delivery or service or emergency response vehicles, or used for evacuation planning, or to route vehicles such as garbage or postal trucks, or snowplows. Corresponding methods also may be used for traffic planning and management, including determining, based on microsimulation, at least one of (a) altered road geometry, (b) altered traffic signal settings, such as traffic signal timing, or (c) road pricing.

The invention discloses a distribution path planning method and system. The method includes the steps that a handheld terminal receives an operation instruction of a user, initial point information and information of a plurality of destination stations are input, and a path planning mode is input and then sent to a server, wherein the path planning mode comprises a shortest distance planning mode, a most labor-saving transportation planning mode, a planning mode meeting the requirement of appointment time and a user-defined planning mode; the server obtains the path with the minimum planning parameter sum from a plurality of paths where all the destination stations are connected in series according to the initial point information, the information of the destination stations, the path planning mode and a pre-stored electronic map, and the corresponding track of the path with the minimum planning parameter sum is sent to the handheld terminal, the handheld terminal receives the corresponding track of the path with the minimum planning parameter, and the corresponding track is displayed on the handheld terminal. Through the method and system, path planning based on a single initial point and a plurality of destination places is achieved, and path planning information which is more comprehensive and more accurate is provided.

The invention relates to a bus line optimizing method based on taxi GPS data and mobile phone signaling data, and aims to solve the problem of low operation efficiency of a bus line because the existing bus line is unreasonable in setting, cannot meet needs very well and does not conform to the actual situation. The bus line optimizing method comprises the following specific processes: 1, acquiring the taxi GPS data, acquiring the mobile phone signaling data, acquiring a land use map and acquiring bus stop data; 2, processing the data acquired in the step 1; 3, calculating bus line optimizingindexes according to the step 2; 31, calculating the distances from an origin point and a destination point to the nearest bus stop; 32, determining the number of bus lines included in the bus stop and the traffic flow; 33, calculating the average running speed of a road vehicle; 4, setting optimizing measures according to the optimizing indexes. The bus line optimizing method is applied to the field of public transportation planning.

The invention relates to a method for computing traffic trips by using mobile phone information. The method computes the information of trips among zones by analyzing and processing the mobile phone information and combining the traffic zone division, thereby providing reference for traffic planning and management. The concrete technical scheme of the invention comprises the following steps: firstly, reading traffic zone information and base station information from a database, and establishing a membership relative to each other according to the respective geographic positions; classifying the position points of mobile phone records according to users, and carrying out data processing of filtering improper users, filtering useless information and the like; and judging the lingering points of the users through the time difference of the uploaded information and event types, and further computing the trips among the traffic zones and the attraction amount generated in the traffic of each zone through pairwise continuous lingering points. The method does not need a door-to-door manual survey and post statistical processing of data, thereby saving a large amount of manpower and material resources.

An electronic method for managing transportation from an origin location, the method including the steps of: receiving an activity indicator including an activity location and an activity start time; identifying at least a first airport (or other origin location), the first airport being within a first threshold measurement of the activity location; and identifying at least a first departing flight (or other mode of transportation) associated with the at least the first airport, the identified at least a first departing flight associated with a flight arrival time and being at least between the origin location and the at least the first airport; wherein the flight arrival time of the at least the first identified departing flight is prior to the activity start time.

The invention discloses a low carbon discharge constraint influence considered traffic mode and path selection method. A low carbon discharge constraint condition is added in a traditional traffic mode and traffic distribution combination model and model solving is carried out through utilizing a genetic algorithm based on real number coding in order to obtain bus and private car trip demands satisfying low carbon constraint conditions, and the traffics of all roads in the road net. The model analysis result is compared with a traditional low carbon discharge constraint unconsidered model analysis result to analyze an improved bus trip mode sharing rate required by the reaching of low carbon and emission reduction purposes and an adjusted road traffic required by the reaching of a CO environment standard, establish the low carbon discharge constraint influence considered traffic mode and path selection method suitable for Chinese traffic environment protection, so a disadvantage that a present traffic program technology does not considers the influences of the traffic carbon discharge to the environment is overcome, thereby the traffic low carbon sustainable development is promoted.

The invention provides a BIM-based dam project construction scheme integrated optimization method. The method comprises the steps that S1, a dam general project structure is established, dam main structure parameters are acquired, and an initial dam project digital model is established; S2, data partitioning is performed on stock ground raw materials used in a dam project; S3, data collection is performed on construction traffic planning of the dam project, and the quantity of vehicles, transportation capability and material transportation time are configured according to collected data; S4, parameter setting operation is performed on block stone according to the construction state of the dam project; S5, a dam face volume and stone block data are subjected to operation, and a constructionperiod of dam face stone filling is obtained; and S6, filling of gravel earth core wall materials of the dam project is performed, simulating computation is performed through all construction procedures, construction process information containing a dam body filling progress plan, resource consumption conditions and a traffic flow state is obtained, and the construction process corresponding to adesigned construction scheme is carried out more abundantly and more accurately.

The invention discloses a method and system for supporting an urban land utilization and traffic integrated planning policy. The method comprises the following steps of: S1, constructing a land utilization model; S2, constructing a traffic planning demand predicting model; S3, judging a convergence property of a traffic accessibility value according to a traffic accessibility value result and an accessibility convergence index obtained according to the traffic planning demand predicting model, if a result indicates no convergence, executing an S4, and if the result indicates convergence, executing an S5; S4, feeding a result of the traffic planning demand predicting model back to the land utilization model, and returning to the S1 to restart a model computing process; and S5, stopping a cyclic feedback process, meanwhile, evaluating results of each land utilization scheme and each traffic planning scheme in real time when the cyclic feedback process is stopped, and selecting a preferential land utilization and traffic planning scheme. According to the invention, the urban land utilization and traffic planning can be realized automatically according to basic data, and the planning efficiency and the reasonableness, the scientificity and the continuity for planning can be improved.

The invention provides a travel space-time analysis method based on taxi GPS data map matching. Original taxi GPS data are extracted and pretreatment on the data is carried out; historical data are analyzed, a taxi GPS positioning error accumulation distribution mode is determined, and a secondary buffer region searching method is constructed; taxi travel data are extracted and a positioning point is matched to a road by combining a taxi GPS data direction element and a distance element map establishment matching method; and a travel space distribution feature identification method is established and a travel space-time distribution feature is analyzed by using the matched taxi GPS data. According to the invention, the taxi GPS positioning error distribution feature is analyzed by using massive historical data fully; a taxi GPS positioning point matching efficiency is improved by constructing the secondary buffer region searching method; and a travel distribution effect can be identified and analyzed effectively by using the established distribution feature identification method. The method has the great significance in improving the taxi map matching effect, floating vehicle information collection, and a travel space-time analysis effect and a data support can be provided for the city traffic planning.

The present invention provides a cross-city traffic flow joint prediction method based on deep migration learning, the method comprises three parts: firstly, dividing a city into regions, using a heatmap to represent city traffic, and abstracting traffic data at different time points into "image frames"; then using a ConvLSTM method to learn spatial dependence and time dependence of the data; andfinally, using condition maximum average difference to measure distribution distance of different spatio-temporal data. The method achieves the purpose of knowledge migration by introducing the condition maximum average difference to reduce difference between a source domain and a target domain. The method proposes to use the ConvLSTM and the conditional maximum average difference for the first time, uses an idea of migration learning to apply to urban traffic flow prediction, solves the problem of prediction difficulty caused by insufficient data in similar or related cities, improves accuracy of prediction and is of great significance to construction of smart transportation system, transportation planning and risk prediction for future cities.

The invention discloses an urban traffic partitioning method based on a differentiation strategy and planning. The method is characterized by comprising the following steps: step 1, dividing city into multiple macro strategy policy subregions according to urban space structure and development direction, regional land utilization property and strength, regional environmental capacity and quality, the supply level of grand transport facilities and transportation demand characteristics; step 2, respectively dividing the macro strategy policy subregions into multiple medium traffic network planning subregions according to land characteristics and traffic characteristics; and step 3. respectively dividing the multiple medium traffic network planning subregions into multiple micro implementation program subregions according to urban road systems, public transportation, parking facilities, outbound transportation junction and local transportation program assessment factors. Compared with the prior art, in the invention, arrangement and planning are carried out on the urban traffic differentiation in an integral and microcosmic view, thus perfecting urban transportation planning and meeting the demand of serving urban traffic planning, construction and management.

The invention discloses a motor vehicle out-driving OD matrix obtaining method based on video traffic detection data. The method comprises the steps of determining OD traffic cells, attributing video detectors to the OD traffic cells according to the mounting positions of the video detectors, building the corresponding relation among the video detectors, video detection points and the corresponding OD traffic cells, obtaining vehicle detection data of all the video detectors in the to-be-obtained OD matrix time interval in the geographic studying area, obtaining everyday OD matrixes in the time interval according to vehicle license plate numbers recognized by the video detectors and time of the video detection points, dividing the time interval into complete hour segments, comparing the vehicle license plate numbers and the time when vehicles pass through the vehicle detection points, obtaining everyday hour OD matrixes, and obtaining everyday peak hour OD matrixes. The method is simple, the result is visual, the out-driving exchange capacity between the traffic cells can be accurately and quantitatively reflected, and the basic input data can be provided for transportation planning and traffic impact assessment.

The embodiment of the invention relates to the technical field of logistics management, and discloses a vehicle transportation planning method and a device, an electronic device and a readable storagemedium. The vehicle transportation planning method comprises the following steps: determining all the transportation sections according to the obtained distribution center location, the collection ofdistribution locations and the energy supply station location of the transportation vehicles; A transport planning model is established according to all the transport sections and the number of the obtained transport vehicles and the working mode of the transport vehicles, wherein, the transport planning model includes an objective function of the electric energy cost and the fuel energy cost consumed by the transport vehicles on the traveling transport sections; The transportation planning model is solved based on a preset algorithm, and the lowest energy cost for completing the transportation task is determined. In the invention, by constructing a model for solving, the solution with the lowest transportation energy cost can be provided for vehicles of different scales and distributionlocations.