Ryo Kanamori

• Nagoya University

AI on-demand services are efficient for low-density demand, but they often suffer from inadequate service levels and inappropriate fare systems. In this study, we develop a mode choice model based on a questionnaire survey conducted in Kozoji new town to analyze users’ intentions, which can be valuable for implementing the new service. The model in...

In this study, we developed an advanced agent-based simulator which allows an agent-based mesoscopic traffic simulator to cooperate with a dynamic vehicle allocation system. This simulator can reproduce a dynamic vehicle allocation service in real world through its Web API. We implemented this simulator to evaluate ride-sharing taxi services in Kum...

In recent years, shared taxis have been attracting attention in Japan. From October 1, 2020, Arao’s “Omoyai Taxi”, which is a substantial “shared taxi”, started operation. However, there is not enough consideration on the service setting of shared taxis and the appropriate setting of the number of vehicles in rural areas. In this study, we conducte...

Due to the surrendering driving licenses of private of the elderly and the decline in walking ability on slopes, they decrease the opportunities for daily travel, which tends to lead to a decrease in QOL. In this study, we worked on the creation of an "personal mobility plan" for New Town residents, whose elderly population is increasing. The "pers...

In the early stages of the spread of autonomous vehicles, it is conceivable to operate an automated valet parking system in parking lots where autonomous vehicles and non-autonomous vehicles coexist. Since non-autonomous vehicles may park beyond the parking space, it is necessary to estimate parking space conditions three-dimensionally. This paper...

Discrete choice models (DCMs) are based on random utility maximization theory. This theory assumes that when people make a choice, they choose the option that maximizes their utility. In recent years, neural networks (NNs) techniques have been developed in the field of artificial intelligence to model human information processing with high accuracy...

We investigate the benefits of introducing meeting points (MPs) into on-demand shared mobility services (OSMS). OSMS generally provide door-to-door transportation between passengers’ origins and destinations. In addition, services using specific pick-up/drop-off locations, which are called as MPs, are also deployed. The operational efficiency of OS...

In this study, we have built an advanced simulation system that links an agent-based meso-traffic simulator and an on-demand matching system in a computer to evaluate impacts of ride sharing taxi service. This system was implemented for a central area of Kumamoto city to verify the effect of introducing this service. As a result, by increasing the...

The concept of Mobility as a Service (MaaS), which means integrating multiple transportation modes, not only fixed transportation but also on-demand service, and providing them as a single service, is attracting attention. For the efficient operation of the MaaS system, appropriate number of on-demand service vehicles and pricing are required. Agen...

The purpose of this study is to clarify the usage requirements of local residents toward the regional implementation of new mobility services. In particular, in this paper, we focus on the elements and processes that lead to the daily use of mobility blend (MB), which is in as a new mobility service. For this purpose, we conducted an interview surv...

Short-term travel time prediction is an important consideration in modern traffic control and management systems. As probe data technology has developed, research interest has moved from highways to urban roads. Most research has only focused on improving the prediction accuracy on urban roads because it is the key index of evaluating a model. Howe...

There is increasing demand for short-term urban link travel time prediction to build an advanced intelligent transportation system (ITS). With the development of data collection technology, probe data are receiving more attention but the penetration rate of probe vehicles capable of sending probe data is still limited. Most research pertaining to s...

In this study, older male drivers' stress while driving in straight links and while proceeding through intersections is investigated. Controller area network (CAN), self-reported stress (SRS), and physiological data was collected in 22.4 km-long experimental trips among older and young drivers. First, this study finds that older drivers reported mu...

Understanding people’s activities and travel behaviors has gained attention in service research field as well as in transportation research field. Recently, there are a lot of studies utilizing GPS (Global Positioning System) trajectory data to analyze travel behaviors after identifying each trip. Although transportation service level (e.g., travel...

Application of machine learning methods shows a popular attempt to identify the purpose of a trip and mode of travel on Global Positioning System (GPS) trajectory data. Data selection for the training and test sets is important in these methods. However, the feasibility and effects of choosing these data from different periods of the year are still...

Under JST RISTEX S3FIRE program, we are trying to implement Smart Access Vehicle (SAV) Service in Hakodate. The project adopts the method of service science loop – the repeated cycle of observation, design and implementation. In this paper we report the completion of its first cycle, and discuss how the cycle improved our initial design. We first c...

Parking Deposit System (PDS) is proposed to improve public acceptance of road pricing (RP), which can reduce effectively traffic congestion and air pollution. This study examines the characteristics of PDS and conventional cordon-based RP in terms of efficiency and equity. In order to evaluate income regressive effects as equity, we develop a multi...

In this paper, we evaluate how to provide or control traffic information based on anticipatory stigmergy. Managing traffic congestion is one of the main issues for smart cities, and many efforts have been made to address it from the perspective of IT and transportation research. Recently, dynamic coordination methods have been made possible by usin...

This study proposes a modified stochastic cell transmission model (M-SCTM) that can apply the conventional SCTM to urban networks. SCTM represents the uncertainty of traffic states and changing travel demands or supply conditions and has also been applied to freeways or simple networks with only one origin–destination pair. In M-SCTM, we introduce...

Parking management has attracted attention as an effective transportation policy. Although many studies analyzing parking lot choice behaviors have been conducted, most of them utilized data gathered by one-shot questionnaire surveys. Currently, in Japan, it is possible to easily observe parking lot choice behaviors over long time periods since onl...

This paper presents the concept of a new transportation system, Smart Access Vehicle System. In the system, the locations and routes of all vehicles are controlled by a computer, and no fixed routes or time-tables are necessary. We call it “transportation cloud”. The system responds to new demands in real time and provides utility of taxis with cos...

In this paper, we propose a foresight route providing method based on anticipatory stigmergy for collecting near-future traffic position. A foresight route providing method combine the previous method that utilize past travel time of probe vehicle due to efficiency of traffic flow. In this model, all probe vehicle submit their near-future traffic p...

In this paper, we propose a dynamic route-exchanging mechanism based on anticipatory stigmergy and demonstrate its efficiency. Next-generation traffic management systems based on probe vehicle data have been attracting attention. Ito et al.[2] [3] [4] previously proposed a traffic management method based on anticipatory stigmergy that can search fo...

This study proposes the modified stochastic cell transmission model (M-SCTM), which can be used to apply the conventional SCTM to urban networks. Although SCTM can represent an uncertainty of traffic state and changing travel demand or supply conditions, it has been applied to a freeway or a simple network that has only one origin-destination pair....

As parking accounting data of automatic payment system is accumulated, a managing parking fees in accordance with characteristics of parking utilization is expected. The purpose of this paper is to analyze the characteristics of parking utilization from a big data and to propose a procedure of parking fee management by developing of a simple simula...

To discuss or evaluate certain policies for a smart city (e.g., urban transportation systems), it is effective to develop an agent-based simulation that can reproduce an individual's travel behavior and social interaction. Here, activity-travel data is needed to develop a behavior model. However, it is difficult to collect such data over a long tim...

As carsharing services have been expanded by private business operators, this study analyzes carsharing users' behavior in the Nagoya metropolitan area. Using data provided by a carsharing operator, this study reveals the purpose of use by tracking the GPS trajectory and the typical use pattern by cluster analysis. Also considering the regional cha...

We propose a negotiation system for changing route assignment to acquire efficient traffic flow. In this system, each probe-vehicle that is assigned a detour based on anticipatory stigmergy requests another probe-vehicle that is assigned a route based on the conventional approach to change route assignment. Anticipatory stigmergy collects near-futu...

We propose a foresight-route-providing method based on anticipatory stigmergy for collecting near-future traffic positions. Even though traffic flow information is better than no traffic information, drivers still face dangerous congested traffic flow. Several approaches have addressed short-term traffic information in which a stigmergy-based appro...

Electric power trading has been adopted in many countries. In this paper, we focus on community-based electricity markets to reduce a demand of electric power and ensure an balancing supply of energy for renewable energy. The community can be defined as a domestic group of individual homes. We assume a community has a larger battery that can be sha...

In this paper, we evaluate how to provide or control traffic information based on an anticipatory stigmergy. Managing traffic congestion is one of the main issues for smart cities, and many works have been trying to address it from the IT and transportation research perspectives. Recently, dynamic coordination methods are becoming possible using th...

Parking reservations can reduce the amount of time lost by drivers searching for parking spaces near their destination. For the development and planning of smart cities with electric vehicles, it is important to control parking spaces as places for charging and power management with Vehicle-to-Grid systems. This study proposes an auction-based park...

In order to discuss or evaluate policies for a smart city (e.g. urban transport systems), it is effective to develop an agent-based simulation that can reproduce individual travel behavior and social interaction. An activity-travel data is needed to develop a behavior model, but it is becoming difficult to collect these data over a long time period...

This paper presents a smart pricing scheme for smart house facilitating a scoring rule operated reward based pricing mechanism. In this scheme, provider (EP) monitors the network load and propose a day-ahead pricing to the consumers. The consumers respond that pricing by providing a probabilistic device schedule prediction for the smart devices to...

In recent years, as carsharing services are being expanded by private business operators, it has begun to be recognized as one of the means of transportation. To diffuse the carsharing service, this study investigates the characteristics of carsharing members in comparison with non-members, and sensitivity to service changes by Web-based questionna...

In most cities, traffic congestion is a primary problem that must be tackled. Traffic control/operation systems based on information gathered from probe vehicles have attracted a lot of attention. In this pa- Per, we examine provision of travel information to eliminate traffic jams. Although it is conventional to provide the mean of historical accu...

In this paper, we propose an anticipatory stigmergy model for decentralized traffic congestion management. Managing traffic congestion is one of the main issues for smart cities, and many works have been trying to address it from the IT and Transportation research perspectives. Recently, dynamic coordination methods are becoming possible using the...

Some auction systems are applied to the parking reservation system which would exert an important role in the next generation traffic systems. As an introduction evaluation of the auction systems for the parking reservation, we compare the results in case of a simultaneous auction and sequential one, and examine the influences of the strategy. Alth...

This research tackles the grand challenge on establishing multi-agent based computational social mechanism design theories, in which we focus on developing novel social systems and mechanisms that are globally optimized by using computers and networks, and apply them to society simulations and real world applications. This research tries to enable...

In this paper, we propose and evaluate an anticipatory stigmergy model for traffic management. Recently, dynamic coordination methods are becoming possible using the more short-term traffic information that can be provided by probe-vehicle information or smart phones. Some approaches have been trying to handle short-term traffic information in whic...

In this paper, we propose an anticipatory stigmergy model for decentralized traffic congestion management. Managing traffic congestion is one of the main issues for smart cities, and many works have been trying to address it from the IT and Transportation research perspectives. In the literature, there are a lot of studies and practices for observi...

We investigate several stigmergies models for decentralized traffic congestion control. For realizing a smart city, one of the main problems that should be handled is traffic congestion. There have been a lot of works on managing traffic congestion with information technology. There is a relatively long history on observing traffic flow and then pr...

Smart grid systems have been actively discussed in order to achieve a sustainable, low-carbon society that efficiently consumes electric power and introduces photovoltaic power generation via renewable energy or electric vehicles. In this study, we focus on the smart meter system based on an agent model to manage electric power use in residential h...

In this study, we examine the impacts of the difference in electric vehicle (EV) owners' attribute on vehicle usage patterns, environmental improvement and electricity demand with our integrated travel demand forecasting model, which is able to not only simulate an individual activity-travel behavior in each time period but also consider an induced...

Commuters' returning home behavior at disaster in Chukyo metropolitan area is investigated by using traffic simulation. Disaster prevention manual by the Government suggests to return home on foot, but it is expected that many people are unable to walk home because of long distance to home as in Tokyo metropolitan area. Car share in Chukyo area is...

Smart grid systems have been actively discussed to realize a sustainable and a low-carbon society that efficiently consumes electric power and to introduce photovoltaic power generation, i.e., renewable energy or electric vehicles. In this study, we focus on the smart meter system based on an agent model to manage electric power use in residential...

In this study, we evaluate the effects of electric vehicle (EV) lanes in which only EV drivers enjoy the benefits of a reduction of travel time like the HOV lanes, and EV/Toll lanes whose charging system is similar to HOT lanes. The multi-class combined equilibrium model including a nested logit model to describe the traveler's behavior of each EV...

In recent years, it passes a peak of population and reaches a threshold in Japan. Therefore it is needed to plan urban design by a small zone with future population and desired this. This study makes known about past formative process by using national population census and household information, and proposes a method to predict future population o...

Road pricing has been recognized as the most efficient policy to reduce traffic congestion and pollution. In order to implement this policy in practice, it has been important to allocate the revenue from the view point of equity and acceptability. This study examines the revenue redistribution effects of a normal prcing and parking-deposit-system f...

A survey by questionnaire was conducted to study the frequency and range of movement of residents in Niyodogawa-cho, Kochi Prefecture, located in a mountainous region. The result is classified by age group. It is confirmed that the frequency and the range of activities differ by age group: the higher the age, the lower the frequency. It is predicte...

Taking advantage of a genetic algorithm based bi-level programming solution to find the optimal scheme for second-best road pricing. The highlight of the work is a case study using the actual Nagoya metropolitan area road network instead of a numerical network. The effectiveness of the method is evaluated for this network by comparing 3 cordon pric...

Consensus building toward the introduction of LRT has often run into trouble since there are difficulties to quantitatively measure the effects such as modal shift from overdependence on automobile, reduction of environmental loads, vitalization in CBD and the improvement of urban landscape. This paper applied an integrated travel demand forecastin...

Consensus building toward the introduction of LRT has often run into trouble since there are difficulties to quantitatively measure the effects such as modal shift from overdependence on automobile, reduction of environmental loads, vitalization in CBD and the improvement of urban landscape. This paper applied an integrated travel demand forecastin...

This paper proposes an integrated travel demand forecasting model for a formulation of comprehensive transport strategy and validates its usefulness as a practical tool. In order to overcome and/or modify some drawbacks of Four-Step forecasting model, we develop a semi-dynamic combined network equilibrium model including an activity-travel model th...

Parking Deposit System (PDS) is proposed to improve public acceptance of Road Pricing (RP) which can reduce effectively traffic congestion and air pollution. This study examines the characteristics of PDS and conventional RP (cordon-based and area-based pricing) in terms of efficiency and equity. In order to evaluate income regressive effects as eq...

Parking Deposit System (PDS) is proposed to improve public acceptance of Road Pricing (RP) which can reduce effectively traffic congestion and air pollution. This study examines the characteristics of PDS and conventional RP (cordon-based and area-based pricing) in terms of efficiency and equity. In order to evaluate income regressive effects as eq...

Disaggregate model can take into account individual travel behaviors in detail, but in forecasting a case of improving service level of transport networks, the changes in service level of automobile are not often considered. On the other hand, combined stochastic user equilibrium model always considers the changes appropriately. In this study, we a...

Parking Deposit System (PDS) is proposed to improve public acceptance of Road Pricing (RP) which demonstrates a reduction of car trips. This study compares the effects of RP and PDS by a model which can measure induced traffic and analyze in trip-chain approach. As a result of application to the Nagoya Metropolitan Area, PDS has the following chara...

Disaggregate model can take into account individual travel behaviors in detail, but in forecasting a case of improving service level of transport networks, the changes in service level of automobile are not often considered. On the other hand, combined stochastic user equilibrium model always considers the changes appropriately. In this study, we a...

Recently, the development of the model that express real traffic flow from hour to hour accurately is required. So, this study analyzes the traffic prediction of Nagoya City in the morning peak hours by using the road network including expressway in Nagoya City and suburb of it. Expressway in the network have many features unlike ordinary road, the...

The aim of this study is to examine about the hourly traffic assignment method when the user equilibrium model is applied to the road network including expressway. The toll road including expressway have a lot of features unlike the surface street. For example, the running speed is faster, the capacity of the road is larger and toll is necessary. S...

Disaggregate model can take into account individual travel behaviors in detail, but in forecasting a case of improving service level of transport networks, the changes in service level of automobile are not often considered. On the other hand, combined stochastic user equilibrium model always considers the changes appropriately. In this study, we a...

This study analyzes the effect of road pricing using a model with the following characteristics: 1) integration of trip generation (i.e. activity choice), destination choice, mode choice and route choice; 2) consideration of hourly traffic condition variations including queue evolution; and 3) approximate reproduction of trip chain along the time a...