STUDY OBJECTIVE In case centred epidemiological studies, traffic volume has been shown to be a potent risk factor for child pedestrian injuries. Nevertheless, over the past two decades child pedestrian death rates have fallen in many countries despite large increases in traffic volumes, suggesting that other factors are responsible for the long term decline in death rates. This study aimed to i...

Traffic incidents are a major source of congestion and travel time uncertainty. Traditionally, extensive attention has been given to accidents in the view of safety when studying occurrence frequency. The regularity of incident frequency, however, deserves equal attention by practitioners and researchers, especially on urban expressways with dense ramps and high traffic volume. The objective of...

Traffic conditions vary over time, and therefore, traffic behavior should be modeled as a stochastic process. In this study, a probabilistic approach utilizing Autocorrelation is proposed to model the stochastic variation of traffic conditions, and subsequently, predict the traffic conditions. Using autocorrelation of the time series samples of density and flow which are collected from segments...

every year, a part of the national capital of the country is lost due to the disorders of traffic. an important part of the traffic disorders is caused by the improper behavior of some users of urban transport system. such a situation is contrary to the principles of smart growth and urban sustainability. the study of traffic conflicts as a symbol of the society culture of traffic can lead city...

Traffic simulators are utilized to solve a variety of traffic-related problems. For such simulators, origin-destination (OD) traffic volumes as mobility demands required input, and we need estimate them. The authors regard an OD estimation bi-level programming problem, apply microscopic simulation model it. However, the trials can be computationally expensive if full dynamic rerouting is allowe...

This paper presents a model for traffic volume prediction which can be effectively used for transportation planning, management and security assessment at any time. Fuzzy logic is applied in order to realize effective and efficient traffic prediction. In this paper, 'day' of a week and 'time' of a day are taken as inputs for proposed model and the output will be the predicte...

Transportation agencies’ motor vehicle count programs tend to be well established and robust with clear guidelines to collect short-term count data, to analyze data, develop annual average daily traffic (AADT) adjustment factors, and to estimate AADT volumes. In contrast, bicycle and pedestrian traffic monitoring is an area of work for most transportation agencies. In most agencies, there are a...