Transit signal priority TSP is recognized as having the potential to improve transit service reliability at small cost to general traffic. The popular preference for TSP encounters the challenges of various and challenging test scenarios. According to the stochastic characteristics of traffic flow, the signal timing model was established for TSP at an isolated signal intersection, where the pas...

The network operators are interested in monitoring passing traffic in a network for reasons of traffic accounting, debugging or troubleshooting, forensics, and traffic engineering. Previous research has focused on monitor placement across the network for maximizing the monitoring utility. But, traffic characteristics and measurement objectives can change dynamically, rendering a placement of mo...

Traffic engineering is performed by means of a set of techniques that can be used to better control the flow of packets inside an IP network. We discuss the utilization of these techniques across interdomain boundaries in the global Internet. We first analyze the characteristics of interdomain traffic on the basis of measurements from three different Internet service providers and show that a s...

Real time traffic flow is often difficult to predict precisely because of the complexity, nonlinearity and uncertainty characteristics of the traffic flow data. Intelligent prediction methods such as artificial neural network (ANN), support vector machine (SVM), etc. have been proven effective to discover the nonlinear information hidden in the traffic flow data. Nevertheless, a single predicti...

This paper studies the grey coupled prediction problem of traffic data with panel data characteristics. Traffic flow data collected continuously at the same site typically has panel data characteristics. The longitudinal data (daily flow) is time-series data, which show an obvious intra-day trend and can be predicted using the autoregressive integrated moving average (ARIMA) model. The cross-se...

The growing use of powered two wheelers (PTWs), coupled with their unique moving behaviors, has considerably influenced the overall traffic characteristics, requiring new approaches to traffic management and monitoring strategies. The present paper studies the effect of two-wheelers traffic on adaptive traffic signal control (ASC) and the methods to optimize the control plan for traffic flow co...

Traffic flow count data in networks arise in many applications, such as automobile or aviation transportation, certain directed social network contexts, and internet studies. Using an example of internet browser traffic flow through domains within a popular international news website, this paper presents Bayesian analyses of two linked models which, in tandem, allow fast, scalable and interpret...