Characteristics of mixed traffic on urban arterials with significant volumes of motorized two-wheelers: role of composition, intraclass variability, and lack of lane discipline

Asaithambi, Gowri; Kanagaraj, Venkatesan; Srinivasan, Karthik K.; Sivanandan, Ramaswamy

doi:10.3141/2317-07

SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.

RSS Feed

HELP: Tutorials | FAQ

CONTACT US: Contact info

Search Results

Journal Article

Characteristics of mixed traffic on urban arterials with significant volumes of motorized two-wheelers: role of composition, intraclass variability, and lack of lane discipline
Citation	Asaithambi G, Kanagaraj V, Srinivasan KK, Sivanandan R. Transp. Res. Rec. 2012; 2317: 51-59.
Copyright	(Copyright © 2012, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing)
DOI	10.3141/2317-07
PMID	unavailable
Abstract	Mixed traffic in the cities of many developing countries is characterized by a lack of lane discipline, varying compositions of constituent vehicle types, and significant intraclass variability in static and dynamic characteristics. However, the influence of these factors on traffic flow parameters is not well understood. This study addressed the influence of lane discipline, intraclass variability, and composition on traffic flow characteristics under heterogeneous traffic conditions in Chennai, India. A microscopic traffic simulation model was calibrated and validated with field data from a four-lane divided urban arterial road in Chennai. The preliminary analysis indicated that factors such as composition, intraclass variability, and lane discipline had a statistically significant effect on stream speed. Speed-flow and speed-density relationships were developed on the basis of simulation results. These results showed a clear influence of lack of lane discipline, variability, and composition on stream speed. The influence varied depending on volume level and type of subject vehicle. The effect of composition on capacity was quantified. When two-wheelers had a predominant share, they enjoyed better performance in the absence of lane discipline. However, when cars and heavy vehicles had a significant presence, the impact of the lack of lane discipline was much smaller. The simulation model was applied to evaluate a range of traffic control measures based on vehicle type and lane. The results showed the promise of some measures based on vehicle class, namely, the exclusion of autorickshaws or autorickshaws and heavy vehicles. The findings have interesting implications for efficiency, user experience, and equity in mixed traffic.