… This section presents the re-optimization-based heuristic solution approach to solve the
SRAMODS operational problem. At every decision epoch k , the fleet controller must assign AVs …

… optimization tool developed in this work uses cost per trip as the objective function. Vehicle
and mission models … However, in this study, optimization is used instead of sizing. Instead of …

… the relationship between shared mobility and other travel options, this study used the regional
data from the large 2017 PSRC travel survey. On the basis of the results of this study, the …

… , which creates difficulties in subsidising multi-modal shared mobility services and potentially
leads to policy failures around shared mobility schemes. This study suggests that policy …

… method for censorship-aware demand modeling, for which we derive a … of shared mobility
demand prediction by incorporating the censored likelihood within a Gaussian Process model, …

… [34], [35] optimize the route planning with a smart insertion for the shared mobility. In addition,
other factors of ridesharing systems, such as pricing models [7], [32], request assignment […

… model of the ride-share optimization problem. In Section 3, we discuss the solution algorithm
we have developed for this optimization … the experimental platform and study the quality of …

… However, in combination with shared mobility-on-demand … Moreover, the development of
such shared mobility-on-… We propose a joint optimization framework for a large-scale shared on-…

… To help achieve the Pareto-improving outcome of better service for travelers and lower costs
for agencies, this study presents a modeling framework to optimize the joint design of transit …

… Focus on shared mobility: given that shared mobility vehicles are able to maximize the
use of limited resources, its implementation in cities is critical to the success of any smart …