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Now showing items 111-117 of 117
Modeling crowding levels by trains in high-frequency transit service operating near capacity
(Massachusetts Institute of Technology, 2018)
Measuring rail system crowding is important to transit agencies. Crowding data has implications for safety, operations control, service planning, performance measurement, and customer information. This paper proposes a ...
Learning structure in nested logit models
(Massachusetts Institute of Technology, 2019)
This work is about developing an estimation procedure for nested logit models that optimizes over the nesting structure in addition to the model parameters. Current estimation practices require an a priori specification ...
A framework for identification of systematic service deterioration in urban rail systems
(Massachusetts Institute of Technology, 2018)
With the increasing availability of transit information from well-developed apps, urban rail passengers are more and more aware of how long their journeys should take. This also means that passengers are becoming more ...
Exploration of algorithms for calibration and optimization of transportation networks
(Massachusetts Institute of Technology, 2017)
Calibration of a DTA model is needed before applying it in a real-world road network. Calibration is often formulated as an optimization problem. This problem is difficult because of the large number of parameters, ...
Improving high-frequency transit reliability : a case study of the MBTA Green Line through simulation and field experiments of real-time control strategies
(Massachusetts Institute of Technology, 2017)
Service reliability is a major concern for public transportation agencies. Transit services experience natural variability in scheduled service, due to factors such as traffic congestion, irregular demand, multi-route and ...
Analysis of the 2012 Massachusetts Bay Transportation Authority fare increase using automated fare collection data
(Massachusetts Institute of Technology, 2014)
Transit agencies commonly increase fares to raise revenue, reduce service to lower costs, or combine the two strategies. Fare increases impact specific subsets of transit users in different ways based on their demographics ...
Planning transit networks with origin, destination, and interchange inference
(Massachusetts Institute of Technology, 2016)
The institutional and financial circumstances at many transit agencies significantly constrain the bus planning process. Long-term planning focuses on major infrastructure projects, while short-term planning focuses on ...