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Air travel demand has been on an upward trend in recent years, and airports have thus become increasingly congested. To alleviate airport congestion, building new infrastructure such as runways to improve capacity is an ...

Accurate forecasting of transportation costs is a key step in logistical planning. It helps buyers and sellers of transportation services make better decisions at all stages of a supply chain, thus creating a significant ...

Aircraft turnaround operations is a key determinant of both airline and airport performance. Airlines incur both direct and indirect costs from poor on-time departure performance, particularly when these delays propagate ...

The Chicago Transit Authority is the second largest transit agency in the US, and the CTA's rail transit division currently serves nearly half of the rides in the system. The system is adaptable to changes in population ...

Emerging transportation technologies like autonomous vehicles and services like on-demand shared mobility are casting their shadows over the traditional paradigm of vehicle ownership. Several countries are witnessing ...

Mobility services and autonomous vehicles (AVs) are predicted to be key revolutionary forces in the future of transportation. In particular, certain forms of the amalgamations of the two technologies not only are expected ...

The emergence and proliferation of "new" mobility has the potential to fundamentally disrupt urban mobility in the 21st century. This includes bikesharing, carsharing, or on-demand vehicles that can be summoned from a ...

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 ...

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 ...

The calibration (estimation of inputs and parameters) for dynamic traffic assignment (DTA) systems is a crucial process for traffic prediction accuracy, and thus critical to global traffic management applications to reduce ...