Background The health care industry must align with new digital technologies to respond to
existing and new challenges. Digital twins (DTs) are an emerging technology for digital …

This paper contributes to the intersection of operations research and machine learning in the
context of autonomous ridesharing. In this work, autonomous ridesharing operations are …

This paper addresses a manpower allocation and vehicle routing problem with staff
qualifications and time windows (MAVRP-SQTW), which is an extension of the manpower …

We present a novel online optimization approach to tackle the ambulance routing problem
on a road network, specifically designed to handle uncertainties in travel times, triage levels …

The challenges for policymakers caused by the increased mobility demand in cities create a
necessity for holistic tools to evaluate solutions in the virtual world before implementing them …

Due to the uncertainty of flight arrival and departure times, the scheduling of apron vehicles
in airports has always faced significant challenges. This paper considers the real-time …

Abstract Mobility On Demand (MOD) services, such as ride-pooling, provide convenient and
cost-effective transportation options. While previous studies focused on operational costs …

In this paper, we present a software architecture that extends the MATSim mobility
simulation framework by providing an external rebalancing server, which offers a set of …

The resurgence of demand-responsive transit (DRT) has been pushed toward a more
sharable and user-friendly mobility service to reshape the urban mobility ecosystem …

为解决不确定性事件造成的机坪车辆调度扰动问题, 提出了一种基于混合策略的机坪车辆主动式
实时调度方法; 设计了一种考虑机坪分区的灵活运行机制, 以允许车辆自适应调整停放区域; …