A5066943676- Transportation and Mobility Innovations
- Electric Vehicles and Infrastructure
- Transportation Planning and Optimization
- Age of Information Optimization
- Sharing Economy and Platforms
- Advanced Battery Technologies Research
- Smart Parking Systems Research
- Smart Grid Energy Management
- Urban Transport and Accessibility
- Telemedicine and Telehealth Implementation
- Global Energy Security and Policy
- Persona Design and Applications
- Traffic control and management
- Smart Grid Security and Resilience
- Assistive Technology in Communication and Mobility
- Smart Grid and Power Systems
- Blockchain Technology Applications and Security
- Empathy and Medical Education
- Innovative Human-Technology Interaction
- Linguistic Studies and Language Acquisition
Kyoto University
2018-2023
Institute of Informatics and Telematics
2019
The introduction of shared autonomous electric vehicles (SAEVs), expected within the next decade, can transform car into a service, accelerate electrification transport sector, and allow for large scale control vehicle charging. In this work, we investigate potential system to provide aggregated storage when combined with intermittent renewable energy sources. We develop simulation methodology optimization charging in context virtual power plant or microgrid, without grid connection...
Ride-hailing with autonomous electric vehicles and shared vehicle (SAEV) systems are expected to become widely used within this decade. These electrified can be key enablers of the shift intermittent renewable energy by providing electricity storage grid offering demand flexibility. In order accomplish goal, practical smart charging strategies for fleets SAEVs must developed. work, we present a scalable, flexible, approach optimise operation including based on dynamic prices. Our integrates...
Shared autonomous electric vehicles (SAEVs) are expected to become commercially available within the next decade. This technology could transform transport paradigms and alter availability of controllable storage from electrified transportation. work describes a novel simulation methodology for investigating potential SAEVs act as in framework Virtual Power Plant or microgrid with intermittent renewable energy. The model simulates aggregate based on patterns optimizes charging. We study case...
Shared Autonomous Vehicles (SAV), or robotaxis, are expected to be commercially available within this decade. This new transport mode has the potential revolutionize travel, offering a level of service comparable traditional taxis with much lower prices. may attract travelers currently using other modes, impacting economic sustainability public as well car ownership levels. We investigate demand scalable SAV simulation framework. do not establish future equilibrium considering interaction...
Shared autonomous electric vehicles (SAEVs) are being introduced in pilot programs and they expected to be commercially available by the next decade. In this work, we propose a methodology for joint optimisation of vehicle charging, vehicle-to-grid (V2G) services fleet rebalancing mobility systems using SAEVs. The proposed model is implemented as cascaded predictive control (MPC) framework with two different timescales. first MPC scheme, called energy layer, abstracts SAEVs an aggregate...
One of the main operational challenges faced by operators one-way car-sharing systems is to ensure vehicle availability across regions service areas with uneven patterns rental requests. Fleet balancing strategies are required maximise demand served while minimising relocation costs. However, design optimal policies a complex problem, and global optimisation solutions often limited very small network sizes for computational reasons. In this work, we propose multi-stage decision support...
Shared autonomous electric vehicles (SAEV s), also known as mobility on demand systems, are expected to soon be commercially available. This work proposes a methodology for the optimization of SAEV charging taking into account optimized routing and rebalancing. The presented is based previous expanded include charge scheduling optimization. Our model deals with different time frames at which transport service have model-predictive control routine run in parallel two scales. Vehicle over...
Ride hailing services are gaining popularity in cities around the world, and introduction of shared autonomous vehicles is likely to pronounce this trend. A problem with these extra travel relocate without customers, necessary serve an asymmetric demand. One solution reduce amount empty driving adoption optimized pricing strategy that takes into account cost relocation. In work, we present a dynamic optimization integrated online predictive We simulate choice between service operated densely...
Shared autonomous electric vehicles (SAEV) are expected to become an important transportation mode in cities within this decade. As part of the electrification transport system, they will increase load on power grid. However, thanks their centralized control, these can also provide services grid, such as demand response and ancillary services. In work, we explore possibility by expanding a SAEV simulation optimization framework with inclusion frequency control reserve (FCR) provision. To...
Car-sharing is emerging as an effective and flexible alternative to car ownership in many large cities the world. However, car-sharing still dominated by single-occupancy vehicles, its convenience may attract more passengers from public transport, thus aggravating congestion pollution. Ride sharing can mitigate this problem pooling together doing similar trips, decreasing number of cars on road. In work we propose a strategy for offering ride-sharing one-way systems. To end, design...
Background The study of doctor-patient-computer interactions is a key research area for examining doctor-patient relationships; however, studying these costly and obtrusive as researchers usually set up complex mechanisms or intrude on consultations to collect, then manually analyze the data. Objective We aimed facilitate human-computer human-human interaction in clinics by providing computational ethnography tool: an unobtrusive automatic classifier screen gaze dialogue combinations...
<sec> <title>BACKGROUND</title> The study of doctor-patient-computer interactions is a key research area for examining doctor-patient relationships; however, studying these costly and obtrusive as researchers usually set up complex mechanisms or intrude on consultations to collect, then manually analyze the data. </sec> <title>OBJECTIVE</title> We aimed facilitate human-computer human-human interaction in clinics by providing computational ethnography tool: an unobtrusive automatic...