Interest in alternative behavioural paradigms to random utility maximization (RUM) has
existed ever since the dominance of the RUM formulation. One alternative is known as …

Mode choice modelling in transportation planning is carried out through either traditional
statistical techniques or artificial intelligence approach. Mode choice modelling presents a …

Tram is classified as a light rail mode of transportation. Tram tracks experience high
acceleration and deceleration forces of locomotives and wagons within their service life and …

The aim of this paper is to propose a new hybrid method of urban road (s) selection and
construction by using a combination of simulation and weighted goal programming (WGP) …

Knowing the volume of arriving passengers (APs) is fundamental for optimizing their paths
through subway stations and evacuating them under emergency conditions. To predict AP …

Traffic demand can be highly correlated to the exogenous factors that exist outside the road
system under study. Factors like day of week, presence of vacation or salary disbursement …

Border transport modeling is a unique research area which is under-explored in the present
literature. Artificial Intelligence (AI) based techniques, especially Artificial Neural Networks …

Neural Network (NN) expansion can be categorized into three crucial stages, namely before
1960, 1960-1986, and after 1986 periods. The era before 1960 is when NN was discovered …

Tram is classified as a light rail mode of transportation. Tram tracks experience high
acceleration and deceleration forces of locomotives and wagons within their service life and …

This paper reports a study in estimating trip distribution based on a traditional method in a
pilot study that involved home interview survey in Jayapura city Indonesia. The survey was …