Short-Term Intersection Traffic Flow Forecasting
نویسندگان
چکیده
منابع مشابه
On short-term traffic flow forecasting and its reliability
Recent advances in time series, where deterministic and stochastic modelings as well as the storage and analysis of big data are useless, permit a new approach to short-term traffic flow forecasting and to its reliability, i.e., to the traffic volatility. Several convincing computer simulations, which utilize concrete data, are presented and discussed.
متن کاملShort-term Traffic Flow Forecasting Using Dynamic Linear Models
Intelligent Transportation Systems (ITS) is an emerging concept which has been utilised to improve efficiency and sustainability of existing transportation systems. Short term traffic flow forecasting, the process of predicting future traffic conditions based on historical and realtime observations is an essential aspect of ITS. The existing well-known algorithms used for short-term traffic for...
متن کاملpattern-based short-term traffic forecasting for urban heterogeneous conditions
short-term traffic flow forecasting plays a significant role in the intelligent transportation systems (its), especially for the traffic signal control and the transportation planning research. two mainly problems restrict the forecasting of urban freeway traffic parameters. one is the freeway traffic changes non-regularly under the heterogeneous traffic conditions, and the other is the success...
متن کاملAnalysis and Short-Term Forecasting of Highway Traffic Flow in Slovenia
Analysis and short-term forecasting of traffic flow data for several locations of the Slovenia highway network are presented. Daily and weekly seasonal components of the data are analysed and several features are extracted to support the forecasting. Various short-term forecasting models are developed for one hour ahead forecasting of the traffic flow. Models include benchmark models (random wa...
متن کاملShort-Term Traffic Flow Forecasting Using Mutual Information in Condition of Data Loss
Today, Traffic flow forecast, as one of the topics in intelligent transportation systems, plays an important role in areas such as controlling traffic flow, traffic lights and travel time. This paper, in accordance with the power of intelligent systems in modeling and forecasting, uses MLP neural network in traffic forecast and compares MLP results with the conventional methods. As the behavior...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sustainability
سال: 2020
ISSN: 2071-1050
DOI: 10.3390/su12198158