Analysis of Microscopic Data under Heterogeneous Traffic Conditions
Journal Title: Transport - Year 2010, Vol 25, Issue 3
Abstract
Collecting microscopic data is difficult under heterogeneous traffic conditions. This data is essential when modelling heterogeneous traffic at a microscopic level. In this paper, microscopic data collected under heterogeneous traffic conditions using a video image processing technique is presented. Data related to heterogeneous traffic such as vehicle composition in the traffic stream, a lateral distribution of vehicles, lateral gaps and longitudinal gaps have been collected. The lateral distribution of vehicles on a ten-meter wide road has been analyzed with a specific emphasis on motorized two-wheeler movement. Using trajectory data, an attempt to examine the gap maintaining the behaviour of vehicles under different traffic conditions has been made. Empirical relationships between the lateral gap and area occupancy have been proposed for various vehicle combinations. The influence of difference in the lateral positions of leading and following vehicles on the longitudinal gap has been analyzed.
Authors and Affiliations
Mallikarjuna Chunchu, Ramachandra Rao Kalaga, Naga Venkata Satish Kumar Seethepalli
Keywords
Related Articles
- EP ID EP85178
- DOI 10.3846/transport.2010.32
- Views 144
- Downloads 0
RSU Localization Model and Simulation Optimization for VII Network
While facing the needs for Vehicle Infrastructure Integration (VII) applications in traffic management, the paper deals with the problem of locating Road Side Units (RSU) for VII deployment. After analyzing the differenc...
Evaluation of bypass influence on reducing air polution in Vilnius city
The segment of transport is a significant part of social and economic infrastructure and has a direct impact on certain economic or social territory development. It is known that production and/or trading scale developme...
Prediction of Passenger Flow on the Highway Based on the Least Square Suppoert Vector Machine
A support vector machine is a machine learning method based on the statistical learning theory and structural risk minimization. The support vector machine is a much better method than ever, because it may solve some act...
Mathematical Simulation of the Correlation between the Frequency of Road Traffic Accidents and Driving Experience
Based on statistical analysis indicating the dependence of the number of road traffic accidents on driving experience, a mathematical model of such correlation is offered. The mathematical model has been tested generatin...
The Safety of Tankers and Single Point Mooring During Loading Operations
Single point mooring (SPM) is used when typical port facilities cannot be applied. Offshore platforms and terminals producing oil and gas are the places where SPM can be employed. Accidents with SPM equipment and ships o...