Everything about Transportation forecasting
Estimation of future use of some transport infrastructure
Transportation forecasting is the attempt of estimating the number of vehicles or people that will use a specific transportation facility in the future. For instance, a forecast may estimate the number of vehicles on a planned road or bridge, the ridership on a railway line, the number of passengers visiting an airport, or the number of ships calling on a seaport. Traffic forecasting begins with the collection of data on current traffic. This traffic data is combined with other known data, such as population, employment, trip rates, travel costs, etc., to develop a model of traffic demand for the current situation. Feeding it with predicted data for population, employment, etc. results in estimates of future traffic, typically estimated for each segment of the transportation infrastructure in question, e.g., for each roadway segment or railway station. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Transportation forecastingA 5-minute orientation
- Skim a recent paper: Multilevel Federated Learning-Based Intelligent Traffic Flow Forecasting for Transportation Network ManagementInfluential work since 2022
- Pick up a classic book: Ladders Reading Language/Arts Texas 5The most-reprinted book on the subject
- Read the landmark paper: Passenger demand forecasting in scheduled transportationCited 98 times
- Go sideways: Trip generationA closely related topic
- Go sideways: Transportation engineeringA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Passenger demand forecasting in scheduled transportation
VMT, energy consumption, and GHG emissions forecasting for passenger transportation
Demand Forecasting for Domestic Air Transportation in Turkey
A scientometric review of research on traffic forecasting in transportation
Forecasting and maintenance problem under subcontracting constraint with transportation delay
Forecasting transportation demand for the U.S. market
Forecasting Construction Staffing for Transportation Agencies
A COMPARISON OF FORECASTING THE RESULTS OF ROAD TRANSPORTATION NEEDS
🆕 Influential since 2022
Multilevel Federated Learning-Based Intelligent Traffic Flow Forecasting for Transportation Network Management
Data-driven ship berthing forecasting for cold ironing in maritime transportation
Forecasting the evolution of fast-changing transportation networks using machine learning
Forecasting air transportation demand and its impacts on energy consumption and emission
Identifying, Analyzing, and forecasting commuting patterns in urban public Transportation: A review
📚 Books worth reading
Ladders Reading Language/Arts Texas 5National Geographic Learning · 2012
Anticipations of the reaction of mechanical and scientific progress upon human life and thoughtH. G. Wells · 1902
Transport revolutionsRichard Gilbert, Richard Gilbert · 2007
Car ownership forecastingE. W. Allanson · 1982
Toward the year 2018Foreign Policy Association. · 1968- 📕Elderly transportation--1986 and beyondUnited States. Congress. House. Select Committee on Aging. Subcommittee on Human Services. · 1986
Driverless Urban FuturesAnnaLisa Meyboom · 2018
Transportation for the FutureDavid F. Batten · 1989
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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