Results 271 to 280 of about 20,101,928 (317)

Estimating Travel Time Distributions by Bayesian Network Inference

IEEE Transactions on Intelligent Transportation Systems, 2020
Travel time estimation is an important aspect of intelligent transportation systems (ITS). In urban environments, travel times can exhibit much variability due to various stochastic factors. For this reason, we focus on estimating travel time distributions, in contrast to the more commonly studied estimation of mean expected travel times.
Anatolii Prokhorchuk, Justin Dauwels, Patrick Jaillet   +2 more
openaire   +1 more source

An Inhabitant Travel Time Distribution Model

Traffic and Transportation Studies 2010, 2010
In order to study the law of inhabitant travel time distribution, the model for the constraints of utilities and targeted information entropy maximization was proposed. Probability theory of Logit model and maximum information entropy principles were used to build the planning model.
Junjuan Liu, Fenyi Dong, Bingjun Li
openaire   +1 more source

Minimum Sampling Size of Floating Cars for Urban Link Travel Time Distribution Estimation

Transportation Research Record, 2019
Despite the wide application of floating car data (FCD) in urban link travel time estimation, limited efforts have been made to determine the minimum sample size of floating cars appropriate to the requirements for travel time distribution (TTD ...
Mei-Ping Yun, Wenwen Qin
semanticscholar   +1 more source

Estimation of Route Travel Time Distribution with Information Fusion from Automatic Number Plate Recognition Data

Journal of Transportation Engineering, Part A: Systems, 2019
Route travel time varies with vehicles and traffic demand. Besides the average route travel time, route travel time reliability in the form of travel time distribution is indispensable.
Fengjie Fu, Wei Qian, Hongzhao Dong
semanticscholar   +1 more source

Modeling arterial travel time distribution by accounting for link correlations: a copula-based approach

Journal of Intelligent Transportation Systems / Taylor & Francis, 2018
The estimation of urban arterial travel time distribution (TTD) is critical to help implement Intelligent Transportation Systems (ITS) and provide travelers with timely and reliable route guidance.
Peng Chen, Wei-Liang Zeng, Min Chen, Guizhen Yu, Yun-Peng Wang   +4 more
semanticscholar   +1 more source

Fosgerau's travel time reliability ratio and the Burr distribution

Transportation Research Part B: Methodological, 2017
Michael A P Taylor
exaly   +2 more sources

The Development and Calibration of a Model for Urban Travel Time Distributions

Journal of Intelligent Transportation Systems, 2013
Travel times on the urban roadways are intrinsically uncertain. For known traffic conditions, a wide travel time distribution can be observed. Among all the components of travel times, delays incurred when approaching intersections constitute a large part of travel times that vehicles experience in urban trips. In this article, a model is presented for
Fangfang Zheng, Henk J. van Zuylen
openaire   +1 more source

Mixture Models for Fitting Freeway Travel Time Distributions and Measuring Travel Time Reliability

Transportation Research Record: Journal of the Transportation Research Board, 2016
Travel time reliability has attracted increasing attention in recent years and is often listed as a major roadway performance and service quality measure for traffic engineers and travelers. Measuring travel time reliability is the first step toward improving it, ensuring on-time arrivals, and reducing travel costs.
Shu Yang, Yao-Jan Wu
openaire   +1 more source

Assessing the impact of travel time formulations on the performance of spatially distributed travel time methods

2023
Tesis (Master of Science in Engineering)--Pontificia Universidad Católica de Chile, 2013 ; Los modelos lluvia-escorrentía son herramientas valiosas para simular la respuesta hidrológica de una cuenca. En años recientes, modelos distribuidos de aguas lluvias han sido desarrollados tales como los modelos de Tiempos de Viaje Distribuidos Espacialmente (o ...
openaire   +2 more sources

Trip travel time distribution prediction for urban signalized arterials

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013
Travel time prediction is a challenge, especially if we consider urban trips. For freeways well-known models for traffic flow and speeds are applicable, e.g., based on physical models inspired by hydrodynamic or statistical models ranging from more conventional to more advanced AI approaches.
Fangfang Zheng, Henk J. van Zuylen
openaire   +1 more source