Characteristics of Mixed Traffic on Urban Arterials with Significant Volumes of Motorized Two-Wheelers

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.

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References

Oketch

T. G.

New Modeling Approach to Mixed-Traffic Streams with Nonmotorized Vehicles. In Transportation Research Record: Journal of the Transportation Research Board, No. 1705, TRB, National Research Council, Washington, D.C., 2000, pp. 61–69.

Chandra

, and Kumar

Effect of Lane Width on Capacity Under Mixed Traffic Conditions. Journal of Transportation Engineering, Vol. 129, No. 2, 2003, pp. 155–160.

Arasan

V.T.

, Vedagiri

, and Manu

Development of Speed–Flow Relationship for Heterogeneous Traffic Using Computer Simulation. Journal of Institution of Engineers (India), Vol. 89, 2009, pp. 3–9.

Arasan

V.T.

, and Dhivya

Concentration of Heterogeneous Road Traffic. Advanced Technologies, In-Teh, Croatia, 2009.

, Lu

, Bian

, and Yu

The Relationship of Speed–Flow–Density for the Mixed Traffic Flow on Beijing Urban Expressway. Presented at International Conference on Transportation Engineering, China, 2009.

Thomas

, Srinivasan

K. K.

, and Arasan

V. T.

Multi-Class Volume Delay Functions for Heterogeneous Traffic Applications. Journal of Road Transport, No. 2, 2011, pp. 40–54.

Venkatesan

, Gowri

, and Sivanandan

Development of Microscopic Simulation Model for Heterogeneous Traffic Using Object-Oriented Approach. Transportmetrica, Vol. 4, No. 3, 2008, pp. 227–247.

Venkatesan

, Asaithambi

, Srinivasan

, and Sivanandan

Vehicle Classwise Analysis of Time Gaps and Headways under Heterogeneous Traffic. Presented at 90th Annual Meeting of the Transportation Research Board, Washington, D.C., 2011.

Ravishankar

K.V.R.

, and Mathew

T.V.

Vehicle-Type Dependent Car-Following Models for Heterogeneous Traffic Conditions. Journal of Transportation Engineering, Vol. 137, No. 11, 2011, pp. 775–781.