Estimation of mean and covariance of peak hour origin–destination demands from day-to-day traffic counts
This paper proposes a generalized model to estimate the peak hour origin–destination (OD)
traffic demand variation from day-to-day hourly traffic counts throughout the whole year …
traffic demand variation from day-to-day hourly traffic counts throughout the whole year …
Reconstructing and analyzing the traffic flow during evacuation in Hurricane Irma (2017)
Hurricane evacuation has long been a difficult problem perplexing local government.
Hurricane Irma in 2017 created the most extensive scale of evacuation in Florida's history …
Hurricane Irma in 2017 created the most extensive scale of evacuation in Florida's history …
[HTML][HTML] Estimating the uncertainty of traffic forecasts from their historical accuracy
Traffic forecasters may find value in expressing the uncertainty of their forecasts as a range
of expected outcomes. Traditional methods for estimating such uncertainty windows rely on …
of expected outcomes. Traditional methods for estimating such uncertainty windows rely on …
Using ensembles of decision trees to predict transport mode choice decisions: Effects on predictive success and uncertainty estimates
S Rasouli, HJP Timmermans - European Journal of Transport and …, 2014 - research.tue.nl
The application of activity-based models of travel demand to planning practice has triggered
interest in issues that potentially improve the accuracy and/or usefulness of model forecasts …
interest in issues that potentially improve the accuracy and/or usefulness of model forecasts …
Post-construction evaluation of traffic forecast accuracy
P Parthasarathi, D Levinson - Transport Policy, 2010 - Elsevier
This research evaluates the accuracy of demand forecasts using a sample of recently-
completed projects in Minnesota and identifies the factors influencing the inaccuracy in …
completed projects in Minnesota and identifies the factors influencing the inaccuracy in …
Evaluation of transportation network reliability during unexpected events with multiple uncertainties
Measuring transportation network reliability in destabilizing events is a complex task
because an accurate modeling requires the inclusion of uncertainty in both the infrastructure …
because an accurate modeling requires the inclusion of uncertainty in both the infrastructure …
Robust Wardrop's user equilibrium assignment under stochastic demand and supply: expected residual minimization approach
Various models of traffic assignment under stochastic environment have been proposed
recently, mainly by assuming different travelers' behavior against uncertainties. This paper …
recently, mainly by assuming different travelers' behavior against uncertainties. This paper …
Post-earthquake modelling of transportation networks
L Chang, AS Elnashai… - Structure and infrastructure …, 2012 - Taylor & Francis
Transportation networks are critical civil infrastructures susceptible to natural hazards such
as earthquakes. It is essential to understand and model the travel demand in emergency …
as earthquakes. It is essential to understand and model the travel demand in emergency …
Spatial representation and scale impacts in transit service assessment
There has been much research over the past decade on aspects of bus-transit-system
service and performance. Common to studies is the necessity that the population served by …
service and performance. Common to studies is the necessity that the population served by …
Comparative analysis of three user equilibrium models under stochastic demand
Recent empirical studies on the value of time and reliability reveal that travel time variability
plays an important role on travelers' route choice decision process. It can be considered as a …
plays an important role on travelers' route choice decision process. It can be considered as a …