This report develops a probabilistic model for analyzing longitudinal collision/safety between an abruptly decelerating vehicle and its immediate follower on an Automated Highway System. The input parameters are the distance between the two vehicles, their common speed prior to the failure, the reaction delay of the following vehicle and a bivariate distribution for the two deceleration rates. ...

The contents of this report reflect the views of the author who is responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the Maryland State Highway Administration. This report does not constitute a standard, specification, or regulation. To improve traffic conditions on major highways plagued by non-rec...

Many previous studies have confirmed the strong relationship between speed compliance and the frequency and severity of traffic accidents. Variable speed limit (VSL) system as a measure to improve traffic safety enables the freeway system to change its posted speed limit based on various traffic and environmental conditions. Such system helps drivers to recognize the upcoming events, to adjust ...

This article presents a visual application which allows a study and analysis of traffic behavior on major roads (more specifically freeways and highways), using as the main surveillance artefact a video camera mounted on a relatively high place (such as a bridge) with a significant image analysis field. The system described presents something new which is the combination of both traditional tra...

The BATMobile [1] is one approach to the implementation of a system capable of driving autonomously in normal highway tra c. As with human drivers, the BATMobile would be a superior driver if it were able to make predictions about the actions of other drivers, e ectively giving it the ability to respond before such actions even occur. The ability to predict driver behavior would also be helpful...

This paper investigates the impact of freeway “Salerno-Reggio Calabria” on long-term local economic development. Built between 1962 and 1974, connected southernmost region Italian peninsula (Calabria) to national highway network. According original plan, could have been built along three different routes. The final choice was mostly influenced by powerful politicians who lobbied in favor path c...

Data Mining(DM) is the process of extracting implicit, valuable, and interesting information from large sets of data. As huge amounts of data have been stored in tra c and transportation databases, data warehouses, geographic information systems, and other information repositories, data mining is receiving substantial interest from both academia and industry. The Twin-Cities tra c archival stor...

Two neural network models, called clustering-RBFNN and clustering-BPNN models, are created for estimating the work zone capacity in a freeway work zone as a function of seventeen different factors through judicious integration of the subtractive clustering approach with the radial basis function (RBF) and the backpropagation (BP) neural network models. The clustering-RBFNN model has the attract...

T raffic congestion is a problem facing virtually every major metropolitan area in theUnited States. Because of prospects of continued traffic growth and relatively little money available for the expansion of highway networks, effective management of traffic flow is a vital concern. Within this context, perhaps one of the least understood and most disruptive phenomenon facing traffic flow manag...

As freeway traffic is increasing in exponential rate day by day need an correct and practical methods to model and control the traffic flow.A cellular Automata (CA) is a system of finite automata that provide a discrete computational model to under the complex behaviour system. This article provides a survey on how researchers can use Cellular Automata to control the traffic on highway includin...