Results 31 to 40 of about 458,798 (295)
With the development of and advances in smartphones and global positioning system (GPS) devices, travelers’ long-term travel behaviors are not impossible to obtain.
Lei Zhu, Jeffrey Gonder, Lei Lin
doaj +1 more source
Polarization Swings Reveal Magnetic Energy Dissipation in Blazars [PDF]
The polarization signatures of the blazar emissions are known to be highly variable. In addition to small fluctuations of the polarization angle around a mean value, sometimes large (> 180^o) polarization angle swings are observed. We suggest that such p
Boettcher, Markus +4 more
core +3 more sources
Valuing travel time variability: Characteristics of the travel time distribution on an urban road [PDF]
This paper provides a detailed empirical investigation of the distribution of travel times on an urban road for valuation of travel time variability. Our investigation is premised on the use of a theoretical model with a number of desirable properties.
Fosgerau, Mogens, Fukuda, Daisuke
openaire +3 more sources
Exploring travel time distribution and variability patterns is essential for reliable route choices and sophisticated traffic management and control. State-of-the-art studies tend to treat different types of roads equally, which fails to provide more ...
Peng Chen +3 more
doaj +1 more source
Quality of service in urban surface transit has a great impact on sustainable urban mobility, with travel time being one of the most important indicators of service reliability.
Dino Šojat +3 more
doaj +1 more source
Estimating exponential scheduling preferences [PDF]
Different assumptions about travelers' scheduling preferences yield different measures of the cost of travel time variability. Only few forms of scheduling preferences provide non-trivial measures which are additive over links in transport networks where
Börjesson, Maria +3 more
core +1 more source
Route choice, travel time variability, and rational inattention [PDF]
Abstract This paper sets up a rational inattention model for the route choice problem in a stochastic network where travelers face random travel time. Previous research has assumed that travelers incorporate all provided information without effort. This study assumes that information is costly and that travelers rationally choose how much information
Jiang, Gege +2 more
openaire +5 more sources
Bayesian Mixture Model to Estimate Freeway Travel Time under Low-Frequency Probe Data
This study develops a novel estimation method under low-frequency probe data using the Bayesian approach. Given the challenges in estimating travel time under low-frequency probe data and prior distribution of the parameters in a traditional Bayesian ...
Hyungjoo Kim, Lanhang Ye
doaj +1 more source
Travel time variability:Definition and valuation [PDF]
Increasing traffic leads to increasing severity, spatial extension and duration of congestion. Congestion has two immediate consequences. One is that travel times increase on average.
Brems, Camilla Riff +3 more
core +2 more sources
Consequences of mixing assumptions for time‐variable travel time distributions
AbstractThe current generation of catchment travel time distribution (TTD) research, integrating nearly three decades of work since publication of Water's Journey from Rain to Stream, seeks to represent the full distribution in catchment travel times and its temporal variability. Here, we compare conceptualizations of increasing complexity with regards
van der Velde, Y. +6 more
openaire +5 more sources

