Road traffic volumes in intercity roads are generally estimated by probability functions, statistical techniques or meta-heuristic approaches such as artificial neural networks. As the road traffic volumes depend on input variables and mainly road geometrical design, weather conditions, day or night time, weekend or national holidays and so on, these are also estimated by pattern recognition te...

Vehicle crashes account for over one million fatalities and many more millions of injuries annually worldwide. Some roads are safer than others, so driving routes optimized for safety may reduce the number of crashes. We have developed a method to estimate the probability of a crash on any road as a function of the traffic volume, road characteristics, and environmental conditions. We trained a...

We consider price and service-quality setting in oligopolistic markets for congestible services, applied to the case of private roads. Previous studies show that parallel competitors set a volume/capacity ratio (and thereby a travel time or service quality) that is socially optimal if they take the actions of the others as given. We find that this result does not hold when capacity and toll set...

A Bayesian updating model is developed to capture the mechanism by which travelers update their travel time perceptions from one day to the next in light of information provided by Advanced Traveler Information Systems (ATIS) and their previous experience. The availability and perceived quality of trac information are explicitly modeled within the proposed framework. The uncertainty associated...

three activated carbons are synthesized in a rotary reactor at different activation times. the adsorption isotherms of the samples are measured the pore size distribution of the samples is determined using combined saito and foley method, bjh method. an average potential function has been determined inside the cylindrical pores. the effect of activation time on the pore size distribution sample...

Travel time reliability has been shown to influence travelers’ decisions as to choice of destination and choice of route. This paper explores options for the inclusion of travel time reliability into a regional travel forecasting model and tests those options on a full-sized network in the Wheeling metropolitan area. Options include two different path building algorithms, different parameters (...