2026· International journal of research and innovation in social science· 0 citations
Abstract
Expressways are designed to facilitate uninterrupted traffic flow; however, localized roadside features such as bus laybys disrupt vehicle dynamics and reduce operational capacity. While classical speed–density models provide theoretical foundations for freeway analysis, localized disturbances are frequently omitted from conventional modeling. This study evaluates the speed–density relationship of passenger cars on a basic expressway segment adjacent to a bus layby along the Federal Highway (KM 17) in Selangor, Malaysia. Traffic data were collected across peak and off-peak periods using elevated video recordings and analyzed via Tracker motion-analysis software across 36 five-minute intervals. Comparative evaluation against classical single-regime models demonstrated that the linear Greenshields model ($V_s = 116.97 - 1.381k$) provided the most robust fit, explaining 75.05% of the variation in passenger car speed ($R^2 = 75.05\%$, $F = 102.27$, $p < 0.001$). The empirical findings indicate that each 10-unit increase in density ($pcu/km$) induces an approximate 14 $km/h$ reduction in speed, largely driven by lane-changing turbulence and deceleration near the layby weave zone. These results underscore the need for infrastructure authorities to incorporate localized disturbance factors into expressway capacity planning and offer actionable insights for optimizing bus layby geometry and setback distances to preserve highway efficiency.
Improving emergency vehicle mobility in congested urban environments is a critical challenge for transportation systems. Although roadway capacity expansions, such as widening roads, are often deployed to reduce congestion, their impact on emergency response performance is not always guaranteed, especially when delays...
Imane Chakir, M. el Khaili, Adil El Arfaoui et al.· Future Transportation· 0 citations
Road safety is an important aspect of sustainable mobility in urban transportation, with excessive speed a primary contributor to the severity of traffic accidents. Monitoring it is a challenge for current transport systems; however, the current state of open data technologies allows for the collection, monitoring and...
M. Gogola, Dominik Krčmár· Urban Science· 0 citations
The introduction of Connected and Autonomous Vehicles (CAVs) into the existing traffic system represents one of the greatest challenges of modern road traffic engineering. Beyond their role as active traffic participants, CAVs can also be regarded as mobile (floating) sensors, effectively turning the vehicle fleet itse...
Lucija Bukvić, M. Gregurić, Filip Vrbanić et al.· Vehicles· 0 citations
Growing traffic is a major concern worldwide, impacting both transportation system performance and road safety. In India, these challenges are intensified by highly heterogeneous traffic, highlighting the need to examine flow characteristics and driving behavior under mixed-class, non-lane-disciplined conditions. T...
K. Avinash, J. Athira, Rajesh Chouhan et al.· Journal of Transportation En...· 0 citations
Urban speed management requires distributional rather than mean-only assessment because averages can conceal upper-tail speeding, vehicle-class differences, and multiple operating regimes. This study applies an integrated sensor-based analytical framework to characterize spatial, temporal, and vehicle-class heterogenei...
Mahmoud Owais, Abdou S. Ahmed, Mohamed A. El Sayed· Vehicles· 0 citations
Passenger Car Equivalent (PCE) factors are widely used to convert heterogeneous traffic streams into equivalent homogeneous flow rates for the design and analysis of roads and intersections. In developing countries, mixed traffic conditions differ substantially from those in developed contexts due to variations in vehi...
Pramodh Senanayake, Loshaka Perera, R. Wimalasiri et al.· Future Transportation· 0 citations
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