Development of ‘speed ratio’ based level of service criteria on undivided urban streets in mixed traffic context

Abstract

Developing countries are facing challenges in sustaining urban traffic congestion due to rapid urbanization. In order to manage urban traffic, a traffic engineer first need to assess the current operational condition on urban roads. ‘Level of Service (LOS)’ is used to define the operational traffic condition within a traffic stream in terms of service quality that a facility is providing to its user. This paper proposes a novel approach to estimate ‘Speed Ratio’ by considering individual Free-Flow Speed (FFS) of different vehicle categories. This study also provides a comparison between FFS estimated using the methods given in Highway Capacity Manual 2010 and Indian-Highway Capacity Manual 2018. LOS criteria was developed using five clustering technique; K-means, K-medoids, Clustering Large Applications, Fuzzy-C Means and Hierarchical Agglomerative Clustering. Both internal and external cluster validation indices were used to find the optimal number of clusters and suitable clustering algorithms.

Lambert W Based Speed Reduction Model in Presence of Pedestrian Movements: Case Studies on Undivided Streets

“…13 will be useful to predict 'percent speed reduction' of traffic stream under the influence of pedestrian movements with varying intensity. PSR as a performance measure could be a potential indicator of Level-of-Service (LOS) being provided to road users (Biswas and Pandey, 2020). In that way, this model can also be used to assess LOS on an urban street under the influence of pedestrian movements both along and across the road.…”

Estimation of PCU’s in Heterogeneous Traffic by Different methods

“…The PCU values of each vehicle are different. In addition, for analyzing the traffic flow, these PCU values are estimated [7]. PCU is also utilized for assessing the capacity of various road types and will be put to use for section improvement.…”