Search

This paper presents the results of the first driver behavior questionnaire (DBQ) study on analyzing Indian drivers’ aberrant behavior for red light violations (RLVs) at signalized junctions. An ordered probit model is developed using the drivers’ socio-demographic variables. The model results indicate that age has the strongest influence on drivers’ RLV behavior, followed by driving experience and level of education. The level of perceived RLV appears to increase with higher driving frequency and two-wheeler ownership. This research is also the first to analyze the aberrant behavior differences among male and female drivers concerning their demographics and driving experiences. It is unique to note that at a certain combination of various demographics (e.g., driving experience, education level, and daily trip frequency), the men and women are becoming equal in their aberrant behavior while committing RLVs. This finding is an interesting input for developing driver training and education programs. [ABSTRACT FROM AUTHOR]

The study is intended to investigate the effect of traffic composition and the use of a paved emergency lane on capacity. Ahmedabad-Vadodara four-lane divided intercity expressway (Mahatma Gandhi expressway, designated as NE-1) which has an emergency lane on either side is taken as a case study. For modeling traffic flow on expressway, a microscopic simulation technique is employed in this study. The simulation model was developed, calibrated, and validated for rendering as well as replicating the real traffic conditions. Results of the study show that the capacity is greatly influenced by emergency lanes and traffic composition. The result of the present study is expected to highlight the ongoing national-level efforts of developing guidelines for Indo-Highway Capacity Manual. [ABSTRACT FROM AUTHOR]