Results 31 to 40 of about 20,101,928 (317)
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
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
Travel time optimization on multi-AGV routing by reverse annealing [PDF]
Quantum annealing has been actively researched since D-Wave Systems produced the first commercial machine in 2011. Controlling a large fleet of automated guided vehicles is one of the real-world applications utilizing quantum annealing. In this study, we
Renichiro Haba +2 more
semanticscholar +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
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 +4 more sources
Is time travel just a confusing plot device deployed by science fiction authors and Hollywood filmmakers to amaze and amuse? Or might empirical data prompt a scientific hypothesis of time travel?
W. Carroll, John, John W. Carroll
core +1 more source
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
Uncertainty-Aware Probabilistic Travel Time Prediction for On-Demand Ride-Hailing at DiDi
Travel Time Estimation (TTE) aims to accurately forecast the expected trip duration from an origin to a destination. As one of the world's largest ride-hailing platforms, DiDi answers billions of TTE queries per day.
Hao Liu +3 more
semanticscholar +1 more source
Distributions of travel time variability on urban roads [PDF]
SUMMARYReliability is an important factor in route, mode and also departure time choice analysis and is a key performance indicator for transport systems. However, the current metrics used to measure travel time variability may be not sufficient to fully represent reliability.
Susilawati Susilawati +2 more
openaire +1 more source

