Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data

Various Methods of Emission Estimation of Vehicular Traffic in Delhi

Traffic is the predominant source of pollution in urban cities like Delhi. Continuous monitoring of the air quality in roads will be very costly and impracticable. To carry out model calculations is a useful alternative to measuring. The most crucial parameter of models is the source strength, which can be estimated in many ways. In the present study, four different methods of source estimation...

Adaptive Online Traffic Flow Prediction Using Aggregated Neuro Fuzzy Approach

Short term prediction of traffic flow is one of the most essential elements of all proactive traffic control systems. Although various methodologies have been applied to forecast traffic parameters, several researchers have showed that compared with the individual methods, hybrid methods provide more accurate results . These results made the hybrid tools and approaches a more common method for ...

Hourly Traffic Prediction of News Stories

The process of predicting news stories popularity from several news sources has become a challenge of great importance for both news producers and readers. In this paper, we investigate methods for automatically predicting the number of clicks on a news story during one hour. Our approach is a combination of additive regression and bagging applied over a M5P regression tree using a logarithmic ...

Integrating Traffic Operation with Emission Impact using Dual-loop Data

Traffic Data and Their Implications for Consistent Traffic Flow Modeling

The paper analyzes traffic data with respect to certain aspects which are relevant for traffic flow modeling as well as the calibration of model parameters and functions. Apart from the dynamic velocity distribution, the density-dependence and the temporal evolution of various, partly lane-specific quantities is investigated. The results are well compatible with recent macroscopic traffic flow ...