Urban mobility is a problem that affects all cities. Providing real time information that can assist citizens on planning their trips by choosing times and itineraries more appropriate to their needs are essential on smart cities. Our project, named UbiBus, investigates how Computational Context and Ubiquitous Computing can be applied to Intelligent Transportation Systems to aid bus passengers ...

Safety is a principal focus of government agencies and private-sector organizations concerned with transportation. The Federal Motor Carrier Safety Administration (FMCSA) was established within the Department of Transportation on January 1, 2000, pursuant to the Motor Carrier Safety Improvement Act of 1999. Formerly a part of the Federal Highway Administration, the FMCSA's primary mission is to...

Safety is a principal focus of government agencies and private-sector organizations concerned with transportation. The Federal Motor Carrier Safety Administration (FMCSA) was established within the Department of Transportation on January 1, 2000, pursuant to the Motor Carrier Safety Improvement Act of 1999. Formerly a part of the Federal Highway Administration, the FMCSA's primary mission is to...

Nowadays, with highly developed instrumentation, sensing and actuation technologies it is possible to foresee an important advance in the field of autonomous and semi-autonomous transportation systems. Among the most promising transport infrastructures the articulated bus is an interesting, low cost and friendly option. In this paper an experimental set-up for research on automatic control of a...

We propose a methodology for constructing a stochastic performance model of a public transportation network using real-world data. Our main data source consists of Automatic Vehicle Location (AVL) measurements of buses in the Edinburgh region. Although the data has a relatively low frequency, we can use it to parameterise a model in which a bus moves between predefined patches in the city. We f...

BACKGROUND Traffic related injuries are leading contributors to burden of disease worldwide. In developing countries a high proportion of them can be attributed to public transportation vehicles. Several mental disorders including alcohol and drug abuse, psychotic disorders, mental stress, productivity pressure, and low monetary income were found predictors of high rates of traffic related inju...

This paper discusses the implications of autonomous vehicle technology on auto use and travel behavior, and the resulting impacts on public transportation. The paper goes on to explore how autonomous driving technology can make more efficient use of bus transportation and improve service to disabled individuals. The paper concludes with recommendations for transit agencies to engage with govern...

The neo-classical and the economic doctrines dominating the governmental policies show their impact on the recent transportation policies, basing these policies on the demand and the efficiency criteria instead of the equity concerns. The public transit system operating for the remote areas is less cost-effective, eventually leading to reach a low level of service quality. In the metropolitan a...

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...

The desirable goal in passenger transportation is moving more people in fewer vehicles. This goal, in respect of road transport, can be attained by encouraging public transport modes like buses by assigning priority. This paper is concerned with the conceptual framework of a micro simulation model of highly heterogeneous traffic flow and application of the model to study the impact of exclusive...