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Research on the Design of Adaptive Control Systems, Volume 1 Final Report
Drivers' adaptive expectations formation in nonstationary traffic environment
The Impact of Travel Time Information on Travelers’ Learning under Uncertainty
Machine learning for multi-jurisdictional optimal traffic corridor control
Models and algorithms for multi-crane oriented scheduling method in container terminals
Effects of user equilibrium assumptions on network traffic pattern
Consumer learning behavior in choosing electric motorcycles
Which road do I take? A learning-based model of route-choice behavior with real-time information
Not bored yet – Revisiting respondent fatigue in stated choice experiments
A behavioral analysis of freight mode choice decisions
Large-scale application of MILATRAS: case study of the Toronto transit network
Dynamic modelling of travellers’ social interactions and social learning
Learning-based framework for transit assignment modeling under information provision
Learning-based framework for transit assignment modeling under information provision
Comparing cities’ cycling patterns using online shared bicycle maps
Comparing cities’ cycling patterns using online shared bicycle maps
Discovering urban activity patterns in cell phone data
Discovering urban activity patterns in cell phone data
Imputing trip purposes for long-distance travel
Imputing trip purposes for long-distance travel
Prediction of the Impact of Typhoons on Transportation Networks with Support Vector Regression
Statistical and machine learning approach for planning dial-a-ride systems
Modeling Human Learning and Cognition Structure: Application to Driver Behavior in Dilemma Zone
Incorporating Driver Behaviors in Network Design Problems: Challenges and Opportunities
Incorporating Driver Behaviors in Network Design Problems: Challenges and Opportunities
Flexible Stochastic Frontier Approach to Predict Spot Speed in Two-Lane Highways
Railway Maintenance Management Using a Stochastic Geometrical Degradation Model
The learning process of accessibility instrument developers: Testing the tools in planning practice
A self-learning system for local ramp metering with queue management
A self-learning system for local ramp metering with queue management
Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning
Development of a global road safety performance function using deep neural networks
Should I stay or should I go? Investigating route switching behavior from revealed preferences data
Should I stay or should I go? Investigating route switching behavior from revealed preferences data
Road to price: User perspectives on road pricing in transition country