Development of a Machine-Learning-Based Novel Framework for Travel Time Distribution Determination Using Probe Vehicle Data
Investigating travel time variability is critical for pre-trip planning, reliable route selection, traffic management, and the development of control strategies to mitigate traffic congestion problems cost-effectively. Hence, a large number of studies are available in the literature which determine...
Main Authors: | Gurmesh Sihag, Praveen Kumar, Manoranjan Parida |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Data |
Subjects: | |
Online Access: | https://www.mdpi.com/2306-5729/8/3/60 |
Similar Items
-
Determining the Required Probe Vehicle Size for Real-Time Travel Time Estimation on Signalized Arterial
by: Lili Lu, et al.
Published: (2019-01-01) -
Explaining the Mean and Variability of Extra Travel Time in Traffic with Interacting Fast and Slow Vehicles
by: José Gerardo Carrillo-González, et al.
Published: (2022-07-01) -
National travel survey 1972/73 : cross sectional analysis of passenger travel in Great Britain/
by: Great Britain. Department of the Environment
Published: (1975) -
Travel Time Reliability of Bus Operation in Heterogeneous Traffic Conditions of Dar es Salaam City, Tanzania
by: Nyaki Prosper S., et al.
Published: (2020-11-01) -
Probability distributions analysis of travel time variability for the public transit system
by: M.M. Harsha, et al.
Published: (2022-12-01)