Road transportation is the largest and complex nonlinear entity of the traffic management
system. Accurate prediction of traffic-related information is necessary for an effective …

As an extension of Genetic Algorithm (GA) and Genetic Programming (GP), a new approach
named Genetic Network Programming (GNP) has been proposed in the evolutionary …

Exposure to air pollution has been related with vary adverse health effects. This study aims
to assess the impact of air pollution to the number of hospitalization for respiratory illness in …

In recent years, a vast amount of real time traffic information is collected and provided to the
travelers as a part of Intelligent Transportation Systems. These information is collected using …

In this paper, an algorithm capable of finding important time related association rules is
proposed where Genetic Network Programming (GNP) with Attribute Accumulation …

Intelligent transportation systems helps travellers reach their destination at an estimated
time. Smart cities have deployed latest technologies to satisfy the needs of travellers through …

The traffic density situation in a traffic network, especially traffic congestion, exhibits
characteristics similar to thermodynamic heat conduction, eg, the traffic congestion in one …

In this paper, a novel evolutionary paradigm combining Genetic Network Programming
(GNP) and Estimation of Distribution Algorithms (EDAs) is proposed and used to find …

Taxi service usually benefits people by providing comfortable and flexible ride experiences.
However, an inherent problem, the insufficient number of taxis at traffic peak, has baffled taxi …

An algorithm capable of finding important time related association rules and its application to
classification systems have been described in this paper. We firstly describe a method of …