Abstract
ABSTRACT In this study, the relation between macroscopic parameters (speed, flow, density, occupancy) and microscopic parameters (lateral clearance, average gap, space headway, lateral movement duration, overtaking time, overtaking distance, relative speed) is evaluated by considering vehicle-type-dependent factor using the trajectory data collected at a five-lane urban merge and non-merge sections in Malaysia. Traffic data extractor software is utilized to extract the flow, speed, and trajectory data of the vehicles at both the merge and non-merge sections of urban highway. Both SPSS software and MATLAB software were used to conduct statistical and numerical modeling of the extracted field data. The results show a significant variation in vehicle-type dependant driving behaviors at merge and non-merge section. These parameters are useful in the development of simulation models for the merging part on a multi-lane urban highway. The findings are also useful for estimating the potential collisions under mixed traffic conditions in road safety management.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
