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In vehicular networks, Roadside Units (RSUs) handle Vehicle-to-Infrastructure communications and are essential to overall network functionality. A successful deployment strategy for RSUs must consider both the network coverage and the cost of deployment. In this work, we propose a technique for selecting contextually significant locations for RSU deployment. In our scheme, we consider the underlying...
As an important mode of urban transportation, taxi is of considerable significance for the commuters. The taxi service stations are important for the efficient operations of taxis. Current approaches for the location optimization of taxi service stations are not well aligned with the actual demand. The present study uses the taxi GPS data to identify and extract actual service needs. Then based on...
Urban Last Mile Logistics (ULML) has been taking an increasingly important role alongside the development of e-commerce. The common delivery mode in the ULML is the Attended Home Delivery (AHD). However, such a delivery mode lacks flexibility, which means customers have to be waiting at home during certain time periods. Apart from AHD, another promising delivery mode is becoming available, which is...
In order to make full use of the massive vehicle networking data and dig out the characteristics of the vehicle driving behaviors, the analysis of the massive vehicle networking data is indispensable. And clustering analysis is an effective way to extract the information which can guide and supervise the vehicles. In this paper, we propose a novel initial clustering center selection algorithm based...
As part of The Technical Cooperation Program (TTCP), a series of trials has been held over the past three years to focus on collaboration in the unmanned maritime systems environment between the following nations: Australia (AS), Canada (CA), New Zealand (NZ), the United Kingdom (UK), and the United States (US). The trials have taken place in San Diego, CA US, Patuxent River, MA US, and Portsmouth,...
In the urban transportation system, the unbalanced relationship between taxi demand and the number of running taxis reduces the drivers' income and the levels of passengers' satisfaction. With the help of vehicular global positioning system (GPS) data, the taxi demand distribution of city can be analyzed to provide advice for drivers. A clustering algorithm called Density-Based Spatial Clustering...
This paper presents a decision support for addressing urban waste collection services that are characterized by the presence of a garage from which all the vehicles start their routes, an intermediate facility where the vehicles unload the waste and a large number of pick up positions. Moreover, in a shift the vehicle can perform several routes subject to time and capacity constraints. Our aim is...
Ride-sharing practice represents one of the possible answers to the traffic congestion problem in today's cities. In this scenario, recommenders aim to determine similarity among different paths with the aim of suggesting possible ride shares. In this paper, we propose a novel dissimilarity function between pairs of paths based on the construction of a shared path, which visits all points of the two...
A solution is designed for the vehicles to minimize the cost of distribution by which it can supply the goods to the customers with its known capacity can be named as a vehicle routing problem. In Clarke and Wrights saving method and Chopra and Meindl savings matrix method mainly an efficient vehicle routing can be achieved by calculating the distance matrix and savings matrix values based on the...
Clustering of Vanets is a technique for grouping nodes in geographical vicinity together, making the network more robust and scalable. Clustering of vehicles that is based on virtual forces has been recently introduced for highways. We propose a new algorithm, called Virtual Forces Vehicular Clustering (VFVC), to create stable clusters in Urban environments where mobility patterns of vehicles is more...
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