[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Liu et al., 2021 - Google Patents

Traffic flow forecasting analysis based on two methods

Liu et al., 2021

View PDF
Document ID
4388055897094334213
Author
Liu Y
Zhang N
Luo X
Yang M
Publication year
Publication venue
Journal of Physics: Conference Series

External Links

Snippet

Along with the rapid growth of China's economy and the continuous improvement of the national living standard, the number of private cars traveling on the road is gradually increasing, and the traffic congestion problem has become the focus of people's attention. In …
Continue reading at iopscience.iop.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/54—Management of operational aspects, e.g. planning, load or production forecast, maintenance, construction, extension

Similar Documents

Publication Publication Date Title
Lin et al. A review of travel-time prediction in transport and logistics
Li et al. Prediction of electric bus energy consumption with stochastic speed profile generation modelling and data driven method based on real-world big data
Li et al. Identifying important variables for predicting travel time of freeway with non-recurrent congestion with neural networks
Qiao et al. Short-term travel time prediction considering the effects of weather
CN110299011A (en) A kind of traffic flow forecasting method of the highway arbitrary cross-section based on charge data
CN104778834A (en) Urban road traffic jam judging method based on vehicle GPS data
CN105825310A (en) Taxi passenger-searching path recommendation method based on information entropy
CN102592447A (en) Method for judging road traffic state of regional road network based on fuzzy c means (FCM)
Tu et al. Impact of traffic flow on travel time variability of freeway corridors
CN103942953A (en) Urban road network dynamic traffic jam prediction method based on floating vehicle data
Liu et al. Traffic flow forecasting analysis based on two methods
Loumiotis et al. Road traffic prediction using artificial neural networks
Wang et al. Forecasting travel speed in the rainfall days to develop suitable variable speed limits control strategy for less driving risk
CN109493449A (en) A kind of lorry loading method for estimating state based on lorry GPS track data and high speed transaction data
CN106327867A (en) Bus punctuality prediction method based on GPS data
Wang et al. Short-term travel time estimation and prediction for long freeway corridor using NN and regression
CN111784027A (en) Urban range electric vehicle charging demand prediction method considering geographic information
CN109800903A (en) A kind of profit route planning method based on taxi track data
Sun et al. Spatial–temporal differences in operational performance of urban trunk roads based on TPI data: The case of Qingdao
CN103700264B (en) Based on the express highway section travel speed computing method of ETC charge data
Zhang et al. Passenger flow forecast of urban rail transit based on BP neural networks
Loubesi et al. Road trafficking description and short term travel time forecasting, with a classification method
Lei et al. Research on multi-objective bus route planning model based on taxi GPS data
Chen et al. Evaluation of energy-environmental-economic benefits of CNG taxi policy using multi-task deep-learning-based microscopic models and big trajectory data
Yu et al. Passenger flow estimation based on smart card data in public transit