Most accidents happens because of lack of Visibility and not Driver’s reaction on time whenan accident occurs. Increasing required Time for driver’s reaction caused to decreasingaccidents on roadways .intelligent vehicle networks brings enough time for reaction by sendingalert and alternate messages to vehicles on roadway. Main propose in this paper is aroundmodulation on Reception interval Saf...

Roadway elevation data is critical for a variety of transportation analyses. However, it has been challenging to obtain such data and most roadway GIS databases do not have them. This paper intends to address this need by proposing a method to extract roadway elevation data from Google Earth (GE) for transportation applications. A comprehensive accuracy assessment of the GE-extracted elevation ...

Aiming at the large deformation problem of U type steel support for the roadway in deep high stress soft rock, By means of theoretic analysis and digital imitation, study on U type steel support for soft Rock Roadway. A u shaped steel & anchor rope combined supporting structure was put forward ,with the help of numerical simulation analyzing the structural, results show that the structure contr...

Decision makers working to improve transportation systems must constantly balance the need to improve roadway safety through infrastructure investment with constraints of available resources. We have explored the additional information available to transportation decision makers by integrating two independent datasets, traffic accident and roadway pavement condition data. The roadway condition ...

BACKGROUND All-terrain vehicles (ATVs) have steadily increased in popularity, size and speed, characteristics that likely contribute to the alarming rise in ATV-related fatalities. One potentially high-risk activity is riding on the road. OBJECTIVES To compare fatal ATV crashes that occur on the roadway and off, to more fully understand factors that contribute to fatalities at each location. ...

Integrating fixed and mobile roadway data 2 ABSTRACT Fixed-site and mobile data sources have distinct strengths for representing roadway conditions, and unique insights can be generated by combining the two. Ongoing research on an urban arterial roadway corridor combines distinct data sources for multi-criteria transportation facility performance assessment. The roadway is instrumented with an ...

M any transportation agencies are currently involved in computerizing large quantities of gee-based data that have been traditionally relegated to filing systems. The advantages of such computerization include quicker access, more easily understood presentations that result in better interpretations, improved updating capabilities, and a more centralized and controllable source of information. ...

INVESTIGATING THE RELATIONSHIP BETWEEN LATENT DRIVING PATTERNS AND TRAFFIC SAFETY USING SMARTPHONE-BASED MOBILE SENSOR DATA Kenneth Wynne Old Dominion University, 2016 Director: Dr. Rajesh Paleti Crash frequency modelling has been used in the past as an attempt to quantify the expected number of crashes occurring on a certain segment of roadway given a set of variables and factors describing th...

In this study, the generalized estimating equations with the negative binomial link function were used to model rear-end crash frequencies at signalized intersections to account for the temporal or spatial correlation among the data. The longitudinal data for 208 signalized intersections over 3 years and the spatially correlated data for 476 signalized intersections which are located along diff...

We propose a novel vision for roadway safety warning based on sensor networks, aiming at providing user-friendly zero-delay safety warnings to motorists. Our idea leverages the advanced sensing, networking and storage technologies. Roadway sensors detect events and store event records at multiple designated locations along the against traffic direction, such that the passing-by drivers can be a...