Effects of free flow state highway traffic parameters on the performance of amplify and forward cooperative multi-hop vehicular networks

In this paper we analyse the effects of highway traffic flow parameters like vehicle arrival rate and density on the performance of Amplify and Forward (AF) cooperative vehicular networks along a multi-lane highway under free flow state. We derive analytical expressions for connectivity performance and verify them with Monte-Carlo simulations. When AF cooperative relaying is employed together with Maximum Ratio Combining (MRC) at the receivers the average route error rate shows 10-20 fold improvement compared to direct communication. A 4-8 fold increase in maximum number of traversable hops can also be observed at different vehicle densities when AF cooperative communication is used to strengthen communication routes. However the theorical upper bound of maximum number of hops promises higher performance gains.

Statistical analysis of overload vehicle effects on Indiana highway bridges. Final report: executive summary.

Indiana Department of Transportation, Indianapolis

Legal effects of use of innovative equipment at railroad-highway grade crossings on railroad's accident liability. Final report.

Federal Railroad Administration, Office of Safety, Washington, D.C.

Mitigating the effects of urban highway construction.

Texas Department of Transportation, Austin

The effects of the new 65 mile-per-hour speed limit on rural highway fatalities: a state-by-state analysis. Final grant report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

The effects of fatigue and alcohol on highway safety. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Hazardous effects of highway features and roadside objects. Volume 1: literature review and methodology. Final report.

Federal Highway Administration, Washington, D.C.

Hazardous effects of highway features and roadside objects. Volume 2: findings. Final report.

Federal Highway Administration, Washington, D.C.

Effects of mandatory seatbelt use laws on highway fatalities in 1985. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

Effects of seatbelt laws on highway fatalities. Update - April 1988.

Mode of access: Internet.

Effects of highway construction and use on big game population /

Mode of access: Internet.

Effects of roadway geometric features on run-off road crashes on the Florida State Highway System

Run-off-road (ROR) crashes have increasingly become a serious concern for transportation officials in the State of Florida. These types of crashes have increased proportionally in recent years statewide and have been the focus of the Florida Department of Transportation. The goal of this research was to develop statistical models that can be used to investigate the possible causal relationships between roadway geometric features and ROR crashes on Florida's rural and urban principal arterials. ^ In this research, Zero-Inflated Poisson (ZIP) and Zero-Inflated Negative Binomial (ZINB) Regression models were used to better model the excessive number of roadway segments with no ROR crashes. Since Florida covers a diverse area and since there are sixty-seven counties, it was divided into four geographical regions to minimize possible unobserved heterogeneity. Three years of crash data (2000–2002) encompassing those for principal arterials on the Florida State Highway System were used. Several statistical models based on the ZIP and ZINB regression methods were fitted to predict the expected number of ROR crashes on urban and rural roads for each region. Each region was further divided into urban and rural areas, resulting in a total of eight crash models. A best-fit predictive model was identified for each of these eight models in terms of AIC values. The ZINB regression was found to be appropriate for seven of the eight models and the ZIP regression was found to be more appropriate for the remaining model. To achieve model convergence, some explanatory variables that were not statistically significant were included. Therefore, strong conclusions cannot be derived from some of these models. ^ Given the complex nature of crashes, recommendations for additional research are made. The interaction of weather and human condition would be quite valuable in discerning additional causal relationships for these types of crashes. Additionally, roadside data should be considered and incorporated into future research of ROR crashes. ^