Different factors affect the process of choosing the appropriate traffic signal controller to solve the traffic conflict on an intersection. Important factors are; number of phases and vehicles arrival rates. Sequence of phases, timings of traffic signals and length of cycle are the most important parameters that all traffic signal controllers aim to optimize one or more of them. One of the major performance measures of traffic signal controller is the average waiting time of vehicles. To compare different kinds of traffic signal controllers, a discrete event simulation model of traffic signal controller on a single intersection is developed using Matlab/Simulink/Simevents. In this paper, three algorithms are proposed to reduce the average waiting time at intersections. The proposed algorithms are compared to the base-line fixed-time controller through extensive simulation experiments. All the proposed algorithms outperforms the base-line algorithm when there is a high variance on the traffic flow. One of the proposed algorithms that adapts both green intervals and cycle length, AW VariableC, outperforms other algorithms, including base-line, under all conditions, but this is on the expense of more computational overhead and more input parameters.
rowdsourcing is a distributed computing model which enables sharing of human efforts in form of ideas, non- hierarchical decision making; utilization of human intelligence and collaboration on complex real world problems that otherwise cannot be solved by any individual person , machine or organization easily. It leverage machine learning, automation, artificial intelligence and collective intelligence into real world challenges combining computation, mobile devices and social interaction to achieve large-scale distributed computing. This paper examines how software crowdsourcing can be helpful for technology service providers like IBM, TCS, Infosys, Accenture etc. and its potentials in transforming present technology outsourcing business model. KeywordsCrowdsourcing, Collective Intelligence,
Parking in major cities, especially around a market vicinity is not only limited but costly. Innovative parking systems to curb this phenomenon is required. This paper proposes a novel and strategic approach using wireless sensor networks (WSNs) as a solution. The WSNs consisting of sensor nodes are known for offering detection, sensing and communication services. The market parking scheme serves as smart parking service, for monitoring the state of the market parking garage. To function, each slot within the parking space is fit with a magnetic sensor node. The parking process is modelled as an Entry-Exit stochastic process. Vehicles identified as they approach using the Licence Plate Recognition (LPR) program. Post identification, Low-Energy Adaptive Clustering Hierarchy (LEACH) routing protocol of the WSNs is used to route the information concerning the parking garage to the base station. The Performance and evaluation of this proposed innovatory system, proves its efficiency.
Internet applications are growing rapidly. The requirement of QoS by these applications varies from very lenient to strict. Maintaining QoS is one of the most typical and challenging task in such scenario. Differentiated services architecture is very popular in such scenario. Differentiated Services is a practical method to implement traffic based service differentiation works on traffic aggregation, per hop behaviour forwarding. Differentiated services uses classifiers to categorize traffic in to flows, policies are defined to allocate the resources to flows and policers are used to shape the bursty traffic whereas schedulers are used to forward the traffic from various traffic queues.