Abstract-There have been countless efforts directed toward efficiently controlling the flow of vehicular traffic through an intersection. This paper describes an algorithm designed for the signal control problem that employs concepts drawn from the field of packet switching in computer networks. The novel method proposed utilizes a maximal weight matching algorithm to minimize the queue sizes at each approach, yielding significantly lower average vehicle delay through the intersection. Of particular interest are scenarios in which differentiated services are offered to vehicle classes with differing priorities. Lyapunov function-based analysis is provided, deriving the conditions under which the system is guaranteed to be stable. The algorithm is compared to an optimized fixed-time controller and a vehicle-actuated controller using the VISSIM traffic simulation environment. Simulation results demonstrate the performance gain obtained when using the proposed scheme, particularly in the scenario in which vehicle routes are unequally distributed, and multiple classes of service are desired.Index Terms-Lyapunov stability analysis, signal control algorithms, traffic management.
A novel approach to accurate and robust image registration using feedforward neural networks is presented. Common registration schemes utilize some form of similarity measures in order to evaluate affine transformation parameters. In the proposed scheme, feedforward neural networks are employed as means of providing translation, rotation and scaling parameters with respect to reference and observed image sets. Discrete Cosine Transform (DCT) features are extracted as inputs to the network. Experimental results with several deformed and noisy images indicate that the proposed algorithm is both accurate and remarkably robust to diverse noisy conditions.
his paper describes the simulated car racing competition that was arranged as part of the 2007 IEEE Congress on Evolutionary Computation. Both the game that was used as the domain for the competition, the controllers submitted as entries to the competition and its results are presented. With this paper, we hope to provide some insight into the efficacy of various computational intelligence methods on a well-defined game task, as well as an example of one way of running a competition. In the process, we provide a set of reference results for those who wish to use the simplerace game to benchmark their own algorithms. The paper is co-authored by the organizers and participants of the competition
Abstract-This paper presents and analyzes a high-performance, robust, and scalable scheduling algorithm for input-queued switches called distributed sequential allocation (DISA). In contrast to pointer-based arbitration schemes, the proposed algorithm is based on a synchronized output reservation process, whereby each input selects a designated output while taking into consideration both local transmission requests and the availability of global resources. The distinctiveness of the algorithm lies in its ability to offer high performance when multiple cells are transmitted within each switching interval. Relaxed switching-time requirements allow for the incorporation of commercially available crosspoint switches. The result is a pragmatic and scalable solution for high port-density switching platforms. The efficiency of the scheme and its robustness in the presence of admissible traffic, without the need for speedup, is established through analysis and computer simulations. Performance results are shown for various traffic scenarios including nonuniform destination distribution, correlated arrivals and multiple classes of service.Index Terms-Input-queued switches, packet scheduling algorithms, quality-of-service (QoS), switch fabric, traffic modeling.
Abstract-There have been countless efforts directed toward ef ciently controlling the ow of traf c through an intersection. This paper describes an algorithm designed for the signal control problem that employs concepts drawn from the eld of computer networking. The novel method proposed utilizes a maximal weight matching algorithm to minimize the queue sizes at each approach, yielding signi cantly lower average vehicle delay through the intersection. Lyapunov function-based analysis is provided, deriving the conditions under which the system is guaranteed to be stable. The algorithm is compared to an optimized xed time controller using the VISSIM traf c simulation environment. Simulation results clearly demonstrate the performance gain obtained when using the proposed scheme, particularly in the presence of the non-uniform traf c scenario proposed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.