The use of radar in automotive applications such as adaptive cruise control is limited to detecting target vehicles directly in front of the host vehicle. Vehicles around a curve on a highway and cross traffic vehicles at an intersection cannot be detected by current radar systems. This is primarily due to the limited beam width angle of the radar. The first part of this report examines and eva...

Pavements represent the largest capital investment in any modern highway system. Maintaining and operating pavements on a large highway system typically involves complex decisions about how and when to resurface or apply other treatments to keep the highway performing and operating costs at a reasonable level. Traditional methods, used since Roman times, left these decisions up to a road superv...

A common contention is that the construction of highway bypasses negatively impacts the economy of local communities by reducing pass-by traffic for businesses. However, as access to specific business account records is limited, this is difficult to quantify. Another common contention is that a reduction in crashes will be achieved. The actual impact of highway bypasses in the United States has...

large urban areas are facing growing problems of noise pollutions. geospatial information systems (gis) can conveniently be adapted to gather, analyze and present noise information. gis can also be extended to answer to user specific problems through deterministic and statistics models. the objectives of this research were to measure urban traffic noise levels, analyze temporal and spatial dyna...

We use a computer-based cellular automaton to study two-component flow, mimicking (fast) passenger and (slow) cargo vehicles, on a circular unidirectional two-lane highway without on-ramps and exits. The global flow rates for different overall densities and mixing ratios between fast and slow cars are determined. We study two main scenarios: two-component traffic without passing restriction (un...

Most computer vision systems for vehicle guidance developed in the past were designed for the comparatively simple highway scenario. Autonomous driving in the much more complex scenario of urban traffic or driver assistance systems like Intelligent Stop&Go are new challenges not only from the algorithmic but also from the system architecture point of view. This contribution describes our curren...

We present a model predictive control (MPC) approach to optimally coordinate variable speed limits and ramp metering for highway traffic. The basic idea is that speed limits can increase the range in which ramp metering is useful. The control objective is to minimize the total time that vehicles spend in the network. For the prediction of the evolution of the traffic flows in the network we use...

1G Analog Cellular Recent years have seen tremendous growth in wireless subscribers. Moreover, new services like music downloads and Internet access on wireless cell phones have meant more and more data transmissions over wireless infrastructures. At the same time, however, the frequency spectrum allocated for wireless communications has been essentially constant. But with more users and more t...

regulated by the corporate average fuel economy (CAFE) standards, established during the energy crises of the 1970s. Calls to increase fuel economy are usually met by a fierce debate on the effectiveness of the CAFE standards and their impact on highway safety. A seminal study of the link between CAFE and traffic fatalities was published by R. W. Crandall and J. D. Graham in 1989. They linked h...

A Road Accident Prevention (RAP) scheme based on Vehicular Backbone Network (VBN) structure is proposed in this paper for Vehicular Ad-hoc Network (VANET). The RAP scheme attempts to prevent vehicles from highway road traffic accidents and thereby reduces death and injury rates. Once the possibility of an emergency situation (i.e. an accident) is predicted in advance, instantly RAP initiates a ...