Lagrangian Traffic model which follows a platoon of vehicle has the benefit of convenient
utilization of individual vehicle data and easy distribution of traffic information to the drivers …

Various forecasting schemes have been proposed to manage traffic data, which is collected
by videos cameras, sensors, and mobile phone services. However, these are not sufficient …

NO FULL TEXT AVAILABLE. This thesis contains 3rd party copyright material.-----Positioning
systems are a key enabling technology for many Intelligent Transport Systems applications …

Accurate positioning is a key factor for enabling innovative applications to properly perform
their tasks in various areas including: Intelligent Transportation Systems (ITS) and Vehicular …

Traffic flow prediction is an important research problem in many of the Intelligent
Transportation Systems (ITS) applications. The use of Autoregressive Integrated Moving …

Traffic prediction in smart cities is an essential way for intelligent transportation system. The
objective of this article is designing and implementing a traffic prediction scheme which can …

Accurate prediction of the motion state of the connected vehicles, especially the preceding
vehicle (PV), would effectively improve the decision-making and path planning of intelligent …

This article presents a new methodology for estimation of vehicle's vertical forces in order to
enhance road safety. Direct measurement of vertical forces requires a complex and …

Public transport buses have uncertainties associated with its arrival/travel times, due to
several factors such as signals, dwell times at bus stops, seasonal variations, fluctuating …

This paper proposes a new model-based traffic state estimation framework using the LWR
model formulated in vehicle number–space (Lagrangian–space) coordinates. This …