Kentaro Oguchi

Vehicle-to- vehicle ad hoc communication protocol evaluation using realistic simulation framework

Vehicular communication is an emerging technology that has lot of potential to support transportation safety, traffic information and other ITS related applications. Due to its unique challenges and infrastructure requirements it is very difficult to evaluate new communication technologies in real world. A good simulation environment is required to evaluate new technologies in close to real-world situations. In this paper we proposed a new simulation framework for vehicular communication protocol evaluation and used this simulation tool to evaluate the performance of event dissemination protocol in realistic city traffic environment. Goal of the event dissemination algorithm is to achieve maximum coverage while keeping the network overhead at minimum. We presented the implementation of custom driving simulation model and propagation simulation model and used them to evaluate the event dissemination protocol with realistic vehicular mobility in urban traffic scenario. Simulation model presented in this paper provides plug-in type modules to extend the features for a particular simulation feature, whether it is for new communication protocol or new driver behavior model

Cyber physical system for vehicle application

In-vehicle information provision services have started according to the progress of data communication infrastructure surrounding vehicles. In such information services, a large amount of data related to vehicles and drivers has been accumulated to the data-center and also been analyzed to provide proper information to drivers. Towards such a technical trends surrounding vehicles, a cyber physical system for vehicle application is proposed here. In the proposed system, expected continuous spiral information flow for vehicles and drivers is described. In the data-center, accumulated information has been analyzed by intelligent information processing of data-mining, then finally extracted information has been provided to drivers through human machine interface. According to the progress of the information processing technologies in the data-center, several potential application are introduced mainly based on personal adaptation, big data analysis and web mining.

Automesh: Flexible Simulation Framework for Vehicular Communication

Vehicular communication is an emerging technology that has lot of potential to support transportation safety, traffic information and other ITS related applications. Due to its unique challenges and infrastructure requirements it is very difficult to evaluate new communication technologies in real world. A good simulation environment is required to evaluate new technologies in close to real-world situations. It is very difficult to integrate real world scenarios like driving and vehicular mobility in widely used network simulators like NS-2 and Qualnet. This paper discusses these requirements for vehicular communication simulation and provides a new architecture for flexible simulation framework for vehicular networks. Proposed simulation architecture combines network simulation, driving simulation and propagation simulation by using real geographic road network and digital elevation model (DEM) to accurately simulate vehicular communication with realistic mobility, accurate propagation models and precise communication models. Proposed simulation framework provides plug-in type modules to extend the features for a particular technology, whether it is communication protocol or driver safety system and evaluates the results inside complete system. Also presented a simple scenario to show how different modules can be extended based on the simulation requirements

Combining prediction methods with cyber information for proactive route recommendation

We propose a proactive route recommendation system based on Cyber-Physical system for vehicles. The system is capable of acquiring and analyzing data obtained from the automobile and the Internet. The system consists of two major technologies, prediction algorithms to estimate the drivers destination and route beforehand, and linkage of cyber information (driving events extracted from the Internet) towards the drivers estimated route. The system combines the two data in order to provide substitute routes information for evading driving events. We have developed prediction algorithms and information linking methods, and conducted evaluation with data obtained from drivers, also implemented a prototype application to validate the recommended routes.

Information analysis and presentation based on cyber physical system for automobiles

Information provision services in vehicle have started according to the progress of data communication infrastructure surrounding vehicles. In such information services, a large amount of data related to vehicles and drivers has been accumulated to the data-center and also been analyzed to provide proper information to drivers. Towards such technical trends surrounding vehicles, a cyber physical system for vehicle application is proposed here. In the proposed system, expected continuous spiral information flow for vehicles and drivers is described. In the data-center, accumulated information has been analyzed by intelligent information processing of data mining, then finally trusted information has been presented to drivers through human machine interface. According to the progress of the information processing technologies in the data-center, several potential applications are introduced mainly based on personal adaptation and big data analysis. It is revealed that destination and route was automatically predicted with 80% accuracy, topics in dialogue were also automatically extracted with 50% precision and driving skill could be separated into two different skill groups. As an experimental challenge to give a better driving advise, a haptic sense device onto a steering wheel was also fabricated and revealed that stimulating Meissners corpuscles with a frequency range between 30 and 60 Hz was the best for the palm.