Base saturation flow rate (BSFR) and its effect on performance of pretimed signalized intersection with non-lane based urban heterogeneous traffic.

Signalized intersections that are pretimed are commonly used in rapidly developing cities with diverse traffic patterns, including those found in Indonesia. These intersections are a common source of congestion and delays in road networks, particularly when there is non-lane based (NLB) traffic in urban areas. Accurate estimation of both the base saturation flow rate and capacity is essential for this type of facility, as an error in the prediction of the base saturation flow rate can result in significant bias in capacity evaluation and design at signalized intersections.

Determining passenger car equivalent (PCEs) for pretimed signalized intersections with severe motorcycle composition using Bayesian linear regression.

Pretimed signalized intersection is known as a common source of congestion, especially in urban heterogeneous traffic. Furthermore, the accuracy of saturation flow rate is found to cause efficient and vital capacity estimation, in order to ensure optimal design and operation of the signal timings. Presently, the traffic also consists of diverse vehicle presence, each with its own static and dynamic characteristics.

Attitudinal dataset for mediating the effects of public acceptance on bus reform scheme in a developing country context.

This paper presents a comprehensive dataset of how public perceptions and its statistical implication on the behavioral adaptation toward the acceptability of bus reform scheme proposed by the government of Aceh, Indonesia. Studies indicate that public response to such a proposed policy is significantly related to the effectiveness of its implementation. Given the absence of studies from the developing countries context, a stated preference (SP) questionnaire is developed to investigate the public's consciousness concerning bus reform acceptance.