Browsing by Author "Hashimoto, Masanori"

Now showing 1 - 3 of 3

Near-Future Traffic Evaluation based Navigation for Automated Driving Vehicles
(2017-01-01)
Lin, Kuen-Wey
;
Li, Yih-Lang
;
Hashimoto, Masanori
;
資訊工程學系
;
Department of Computer Science
Once vehicles start to be driven automatically, people expect the driving routing is automatically and optimally selected. Supposing all the vehicles are navigated by a single system in the future, the navigation system will be able to provide instructions to each vehicle based on the evaluated near-future traffic information while the current navigation system frequently updates the routing based on current traffic information. This paper proposes a navigation method that guides vehicles based on the evaluated near-future traffic information. Experimental results with actual city maps show the evaluated near-future traffic information is helpful to mitigate traffic jam and reduce driving time.
Near-Future Traffic Evaluation based Navigation for Automated Driving Vehicles Considering Traffic Uncertainties
(2018-01-01)
Lin, Kuen-Wey
;
Hashimoto, Masanori
;
Li, Yih-Lang
;
資訊工程學系
;
Department of Computer Science
Because it is difficult to find empty space in a developed city to accommodate more transportation infrastructures, the development of an effective navigation system is a low cost option for mitigating traffic jam. Regarding a future world where automated driving technologies have become mature and most vehicles follow the pre-scheduled route suggested by a navigation system, it is likely to predict the traffic jam accurately if the navigation system can know the pre-scheduled route of each vehicle. Recently, a navigation algorithm is presented for automated driving vehicles with the assumption that all the navigating query requests are processed by a single system. However, the aforementioned algorithm does not consider any kind of uncertainty originating from accidents and destination change. To get close to the real world, we propose a navigation algorithm with near-future evaluation capability that also allows some kinds of uncertainties. We compare our algorithm with a dynamic-update based conventional navigation algorithm without near-future evaluation capability. We download some metropolitan maps from OpenStreetMap and utilize the data of traffic flow from official statistics to randomly generate many sets queries. Experimental results show that the total cruising time is improved for each case.
Reliability, Adaptability and Flexibility in Timing: Buy a Life Insurance for Your Circuits
(2016)
Schlichtmann, Ulf
;
Hashimoto, Masanori
;
Jiang, Iris Hui-Ru
;
Li, Bing
;
交大名義發表
At nanometer manufacturing technology nodes, process variations affect circuit performance significantly. In addition, performance deterioration of circuits due to aging effects is also increasing. Consequently, a large timing margin is required to maintain yield. To combat the pessimism and the resulting overdesign, aging analysis with high-level models, on-chip timing margin monitoring and tuning, and flexible delay models of flip-flops can be deployed. This paper gives an overview of the state of the art of applying these techniques to improve the health of circuits.