Background. Bus transit time prediction is to predict how long it takes for a bus to travel from point A to point B. Good prediction helps with urban transportation planning and bus riders’ time planning. Artificial neural networks have been proven to work well in this field. Aim. This project aims to make good travel time predictions for both route and segments of route with the bus GPS data u...

Majority of the million plus cities in India are facing serious problems of traffic congestion and pollution due to the unprecedented and rapid pace of urbanization in last decade. City planners are providing solution to these twin problems by developing Mass Rapid Transit System including Metro and BRT in many Indian Metropolitan cities. The availability of transit network and pedestrian acces...

in this paper, a new method based on branch placement for the optimal positioning of phasor measurement units (pmus) in power systems is proposed. in this method, the pmus are in type of single-channel and are installed at the beginning of the branches. therefore, they are able to measure the bus voltages. also, the installation of the pmus on the branches increases the security of observabilit...

Based on reactive power-voltage characteristics analysis of air conditioners, the effects of air conditioner load on voltage stability of an urban power system are investigated in this paper. Indexes for evaluating bus voltage security are proposed, and static voltage stability analysis method is adopted. The computational analysis of a real urban power system in East China shows that air condi...

In this paper, simultaneous placement of distributed generation, capacitor bank and protective devices are utilized to improve the efficiency of the distribution network. The objectives of the problem are reduction of active and reactive power losses, improvement of voltage profile and reliability indices and increasing distribution companies’ profit. The combination of firefly algorithm, parti...

We present Figaro, a content discovery solution for mobile ad hoc networks. Our main focus is on urban environments, featuring high densities of users in relatively narrow, circumscribed areas where wireless connectivity is provided by an infrastructure (e.g., bus stops integrating a wireless access point). Figaro superimposes an overlay network onto the mobile ad hoc network, exploits the the ...

Multi-processor systems need interconnection networks (INs) in order to make the connection among the processors, memory modules, and nodes. Bus interconnection network is the simplest and least expensive one among all the INs. Therefore, bus network is easily understood and preferred by manufactures for implementation. However, a bus network is inherently a non-fault tolerant and blocking netw...

This paper presents a dynamic traffic assignment (DTA) model for urban multi-modal transportation network by constructing a mesoscopic simulation model. Several traffic means such as private car, subway, bus and bicycle are considered in the network. The mesoscopic simulator consists of a mesoscopic supply simulator based on MesoTS model and a time-dependent demand simulator. The mode choice is...