Timothy Menard

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We present an identification algorithm for determining the variables characterizing a circadian rhythm. This method is based on a recursive least square algorithm combined with an appropriate observer. It has the advantage of determining all the parameters of a time-varying circadian rhythm without requiring the knowledge of the period. A comparison study(More)
In this paper, we present a comparison of the Samsung Galaxy S™ [1], the Motorola Droid X™ [2], and the iPhone 4™ [3] using the real-time vehicle tracking application FreeSim_Mobile [4,5]. Using the built-in GPS receiver and the web capabilities of these smart phones, coupled with a V2I architecture, we are able to send a continuous(More)
In this paper, we present and analyze an algorithm for mapping discrete GPS data gathered from vehicles to a continuous flow of data to determine the time to traverse a road section. Vehicle-tracking devices are installed in 80 probe vehicles in the Anchorage area, and a specific roadway section was chosen as a test section. Drivers for this study drove(More)
In this paper, we present a comparison between the Apple iPhone 3G™ [2] and the iPhone 4™ [2] using the real-time vehicle tracking application FreeSim_Mobile [24]. The built-in GPS receiver and web capabilities of the iPhone™, coupled with a V2I architecture, are used to send a continuous flow of data to a central server for processing(More)
In this paper we present the Intelligent Transportation Systems Traveling Salesman Problem (ITS-TSP), which is a heuristic algorithm loosely based on the traditional TSP with three variations: the edge weights can change constantly, not every node in the graph must be visited, and simple cycles can exist. This problem has direct application to the(More)
In this paper, we present a preliminary application for the iPhone™ [2] that uses the built-in GPS receiver along with the web capabilities utilizing a V2I architecture to send a continuous flow of data to a central server where FreeSim [13–15], a real-time traffic simulator, applies the proportional model algorithm [18] to determine the time(More)
We present a novel approach to tracking heavy machinery used as snowplows for the improvement of commuter safety. We have developed hardware designed for universal installation in snowplows that relay location and plow position data without human interaction over a cellular network to the real-time traffic simulator FreeSim [1-3]. FreeSim analyzes the data(More)
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