This paper capitalizes on the increasingly high relevance gained by data-intensive
technologies in the development of intelligent transportation system, which calls for the …

Multi-objective optimization is many important since most of the real world problems are in
multi-objective category. Looking at the literature, the algorithms proposed for the solution of …

In this paper, we present a Big Data analysis paradigm related to smart cities using cloud
computing infrastructures. The proposed architecture follows the MapReduce parallel model …

As an important part of emergency response, the post-disaster emergency resource
allocation is essential for mitigating disaster losses. To realize the effective allocation of …

Reducing energy consumption and promoting sustainable mobility solutions, including
public transport (PT), are increasingly becoming key objectives for policymakers worldwide …

Multitasking optimization is a recently introduced paradigm, focused on the simultaneous
solving of multiple optimization problem instances (tasks). The goal of multitasking …

В этой статье рассматривается вопрос применения анализа данных большого объема
с использованием облачных вычислений для решения задач анализа дорожного …

This paper presents a multiobjective cellular genetic algorithm to determine bus timetables
using multiple vehicle types, considering restrictions of government agencies for public …

Most existing public transit systems have a fixed dispatching and service mode, which
cannot effectively allocate resources from the perspective of the interests of all participants …

Transportation systems play a major role in modern urban contexts, where citizens are
expected to travel in order to engage in social and economic activities. Understanding the …