Arrival/Travel times for public transit exhibit variability on account of factors like seasonality,
dwell times at bus stops, traffic signals, travel demand fluctuation etc. The developing world …

In recent times, congestion levels have been increasing in Indian cities due to rapid changes
in urbanization, which will lead to several negative impacts such as delays and pollution …

Road transport is the primary means to transit goods and people from one place to another
at the global level. But the slowdown of flow of vehicles, due to internal and external factors …

Predicting and providing information about bus arrival time to passengers accurately is a
very important aspect of advanced public transportation systems (APTS), a major functional …

Public transport buses exhibit uncertainties in their arrival/travel times, due to several factors
such as signals, dwell times at bus stops, seasonal variations, fluctuating travel demands …

Short-term travel time prediction is one of the key technologies of intelligent transportation
systems. Reliable systems that are able to provide accurate travel time information are …

This thesis presents the use and analysis of traffic data collected from the public bus fleet in
Tampere area. The data have been analyzed with several algorithms and from various …

Arrival/Travel times for public transit exhibit variability on account of factors like seasonality,
dwell times at bus stops, traffic signals, travel demand fluctuation etc. The developing world …

GPS Data from vehicles making trips on the highway are a valuable source of information for
highway data analytics. In this article we propose an algorithm for segmenting the highway …

Day-to-day traffic assignment models provide a powerful tool to analyze the time evolution of
traffic flow within transport networks. In day-to-day dynamics, most models assume that there …