A Method for Solving Reliability of Route Travel Time
In order to obtain an effective method for solving route travel time reliability, this paper proposes an effective new method to calculate travel time reliability using an independent link travel time function. Based on several months of historical data,
Hongwei Ma +3 more
doaj +1 more source
Learning Travel Time Distributions with Deep Generative Model [PDF]
Travel time estimation of a given route with respect to real-time traffic condition is extremely useful for many applications like route planning. We argue that it is even more useful to estimate the travel time distribution, from which we can derive the expected travel time as well as the uncertainty. In this paper, we develop a deep generative model -
Xiucheng Li +3 more
openaire +3 more sources
Finding Most Reliable Path With Extended Shifted Lognormal Distribution
Travel time uncertainty may cause late arrival and impose a high penalty on travelers. There is a growing interest in modeling travel time uncertainty to optimize the reliability of travel time at the path and network level. Real data analysis finds that
Zhenzhen Yang +4 more
doaj +1 more source
Impact of Shared Bus on Campus Travel and Space Optimization Based on Activity Travel Behavior
Based on the travel analysis of students in the Jiulonghu campus, this paper constructs a small-scale shared bus in the campus, explores the impact of shared traffic on campus travel, promotes the optimization design of campus space environment, and ...
Qiong Chen +6 more
doaj +1 more source
Bayesian Nonparametric Model for Estimating Multistate Travel Time Distribution
Multistate models, that is, models with more than two distributions, are preferred over single-state probability models in modeling the distribution of travel time.
Emmanuel Kidando +3 more
doaj +1 more source
Heterogeneous Data Fusion Method to Estimate Travel Time Distributions in Congested Road Networks
Travel times in congested urban road networks are highly stochastic. Provision of travel time distribution information, including both mean and variance, can be very useful for travelers to make reliable path choice decisions to ensure higher probability
Chaoyang Shi +3 more
doaj +1 more source
Modeling Uncertain Travel Times in Distribution Logistics
Uncertainty quantification is a critical aspect of distribution logistics, particularly unpredictable travel times caused by traffic congestion and varying transportation conditions. This paper explores the modeling of uncertainty in dealing with travel times in the context of distribution logistics using the collocation method.
Khadija Ait Mamoun +4 more
openaire +2 more sources
Adaptive Gaussian mixture model for identifying outliers in historical route travel times
The historical route travel time data contain a few outliers composed of subpopulations signifying unusual traffic conditions. These outliers compose the right tail of the distribution against the central part occupied by most normal travel times ...
Shaoxin Yuan, Ke Zhao, Zhigang Xu
doaj +1 more source
A Reliability-Based Network Equilibrium Model with Adaptive Risk-Averse Travelers
In this paper, route free-flow travel time is taken as the lower bound of route travel time to examine its impacts on budget time and reliability for degradable transportation networks.
Lei Zhao +3 more
doaj +1 more source
Modelling travel time distribution and its influence over stochastic vehicle scheduling
Due to the paucity of well-established modelling approaches or well-accepted travel time distributions, the existing travel time models are often assumed to follow certain popular distributions, such as normal or lognormal, which may lead to results ...
Yindong Shen +3 more
doaj +1 more source

