173 citations · 389 across the 12 of their papers we have counts for
12 papers
Dynamic charging management for electric vehicle demand responsive transport
Tai-Yu Ma
With the climate change challenges, transport network companies started to electrify their fleet to reduce CO2 emissions. However, such an ecological transition brings new research…
Survey of charging scheduling, fleet management, and location planning of charging stations for electrified demand-responsive transport systems: methodologies and recent developments
Tai-Yu Ma, Yumeng Fang
The accelerated electrification of transport systems with EVs has brought new challenges for charging scheduling, fleet management, and charging infrastructure location and configu…
Optimal queueing-based rebalancing for one-way electric carsharing systems with stochastic demand
Tai-Yu Ma, Theodoros Pantelidis, Joseph Y. J. Chow
Viability of electric vehicle car sharing operations depends on rebalancing algorithms. Earlier methods in the literature suggest a trend toward Markovian stochastic demand with se…
Multistep Electric Vehicle Charging Station Occupancy Prediction using Hybrid LSTM Neural Networks
Tai-Yu Ma, Sébastien Faye
Public charging station occupancy prediction plays key importance in developing a smart charging strategy to reduce electric vehicle (EV) operator and user inconvenience. However,…
Two-stage battery recharge scheduling and vehicle-charger assignment policy for dynamic electric dial-a-ride services
Tai-Yu Ma
Coordinating the charging scheduling of electric vehicles for dynamic dial-a-ride services is challenging considering charging queuing delays and stochastic customer demand. We pro…
Optimal fast charging station locations for electric ridesharing service with online vehicle-charging station assignment
Tai-Yu Ma, Simin Xie
Electrified shared mobility services need to handle charging infrastructure planning and manage their daily charging operations to minimize total charging operation time and cost.…
A stochastic user-operator assignment game for microtransit service evaluation: A case study of Kussbus in Luxembourg
Tai-Yu Ma, Joseph Y. J. Chow, Sylvain Klein +1
This paper proposes a stochastic variant of the stable matching model from Rasulkhani and Chow [1] which allows microtransit operators to evaluate their operation policy and resour…
Integrated ridesharing services with chance-constrained dynamic pricing and demand learning
Tai-Yu Ma, Sylvain Klein
The design of integrated mobility-on-demand services requires jointly considering the interactions between traveler choice behavior and operators' operation policies to design a fi…
A node-charge graph-based online carshare rebalancing policy with capacitated electric charging
Theodoros P. Pantelidis, Li Li, Tai-Yu Ma +2
Viability of electric car-sharing operations depends on rebalancing algorithms. Earlier methods in the literature suggest a trend toward non-myopic algorithms using queueing princi…
A user-operator assignment game with heterogeneous user groups for empirical evaluation of a microtransit service in Luxembourg
Tai-Yu Ma, Joseph Y. J. Chow, Sylvain Klein +1
We tackle the problem of evaluating the impact of different operation policies on the performance of a microtransit service. This study is the first empirical application using the…
A dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers
Tai-Yu Ma, Saeid Rasulkhani, Joseph Y. J. Chow +1
We propose a ridesharing strategy with integrated transit in which a private on-demand mobility service operator may drop off a passenger directly door-to-door, commit to dropping…
A hybrid cross entropy algorithm for solving dynamic transit network design problem
Tai-Yu Ma
This paper proposes a hybrid multiagent learning algorithm for solving the dynamic simulation-based bilevel network design problem. The objective is to determine the op-timal frequ…