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Simulation-based design of integrated public transit and shared autonomous mobility-on-demand systems
(Massachusetts Institute of Technology, 2018)
The autonomous vehicle (AV) is poised to be one of the most disruptive technologies in the transportation industry. The advent of three major trends in transportation: automation, on-demand mobility and ride-sharing, are ...
Inferring travel activity pattern from smartphone sensing data using deep learning
(Massachusetts Institute of Technology, 2018)
Understanding the travel routine of the individuals is important in many domains. In transport research understanding daily travel routine is crucial for modeling the travel behavior of the individuals. Such models help ...
Transit fare policy : use of automated data to improve incremental decision making
(Massachusetts Institute of Technology, 2018)
Incremental changes in fare policy can have substantial and long-term impacts on transit ridership and revenue, but they are often driven by near-term revenue needs and determined within short time frames with limited ...
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 ...
Value of information in dispatching shared autonomous mobility-on-demand systems : a simulation framework
(Massachusetts Institute of Technology, 2018)
The concept of shared mobility-on-demand (MoD) systems describes an innovative mode of transportation in which rides are tailored as per the immediate requests in a shared manner. Convenience of hailing, ease of transactions, ...
Discrimination, regulation, and design in ridehailing
(Massachusetts Institute of Technology, 2018)
In the past decade transportation network companies (TNCs) like Uber and Lyft have replaced, supplemented, and disrupted traditional modes of transportation. The rapid growth of these companies makes equitable access to ...
Design and deploy : co-creative public transport planning using a web -based stakeholder engagement tool
(Massachusetts Institute of Technology, 2018)
Using new technologies, such as web-based applications and online map visualizations, to help public engagement for public transit campaigns is an emerging trend in the urban planning field. Scenario simulations and map-based ...
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 ...
Identifying and modeling urban truck daily tour-chaining patterns
(Massachusetts Institute of Technology, 2018)
The main goal of this research is to better understand truck tour patterns in an urban setting and develop models that can describe daily tour-chaining patterns. This research uses truck activity data collected for the ...
Big data fusion to estimate driving adoption behavior and urban fuel consumption
(Massachusetts Institute of Technology, 2018)
Data from mobile phones is constantly increasing in accuracy, quantity, and ubiquity. Methods that utilize such data in the field of transportation demand forecasting have been proposed and represent a welcome addition. ...