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Underwater vehicles have been developed over the last six decades for potential uses in scientific, commercial, environmental, and military purposes, and always utilized to perform difficult tasks in cluttered environments such as deep-sea mining, underwater sampling and oceanic investigations. Since underwater vehicles have nonlinear and highly coupled dynamics, motion control can be difficult when...
Traffic density estimation with vehicular ad hoc networks (VANETs) can facilitate many applications. Traditional density estimation is achieved by counting the number of vehicles occupied in a certain area with inductive loop detectors and cameras, which is applied over limited coverage and brings high cost. In this paper, we propose to fuse vehicle spacing information and and compute average spacing...
Vehicular ad hoc networks (VANETs) which are deployed along roads make traffic systems safer and efficient. Existing theoretical results on capacity scaling laws provide insights and guidance for the design and deployment of VANETs. In this paper, we propose a novel fundamental framework RVWNM (Real Vehicular Wireless Network Model), which enables a more realistic capacity analysis in VANETs. We first...
Vehicular ad hoc networks (VANETs) is an efficient enabler for safe and efficient Intelligent Transport Systems. The introduction of intermediate vehicles improves the performance of VANETs prominently. In this paper, we introduce buses as intermediate vehicles to improve the system efficiency. We also introduce the coalition game model to study the relationships between buses and add incentives for...
In this paper we present an automatic vehicle ingress/egress counting method by clustering dense trajectories extracted from monitoring videos. Dense trajectories are extracted based on dense optical flow when passengers cross the door of the vehicle, and then clustered into different groups according to their descriptors with each legitimate group as a passenger. The contribution of the proposed...
This paper proposes a novel method for the timely selection of a shortest travel time route for drivers. The problem is formulated as a path planning problem: traffic congestion avoidance in an urban traffic network using multi-source traffic information. The key idea is to compute the travel time for each road section and to dynamically select the fastest path according to the traffic. We collect...
Capacity scaling laws of wireless networks have attracted a lot of attention. In this paper, we study the multicast capacity of bus-assistant VANETs (vehcular ad hoc networks) with two-hop relay scheme, which has not been addressed before. Assume that n ordinary vehicles and nb buses are deployed in a grid-like road framework while the number of roads increase linearly with n. All the ordinary vehicles...
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