01154394

Component

https://doi.org/10.3141/2188-15

http://scholar.google.com...ndan&publication_year=2010

In developing countries such as India, the traffic on roads is highly heterogeneous in nature, with vehicles of widely varying static and dynamic characteristics. This type of traffic is characterized by lack of lane discipline and free movement over the entire width of the roadway (laneless movement) based on availability of space. In such a regime of traffic flow, the phenomenon of merging of vehicles at junctions of two roads is complex and warrants further study. Merging maneuvers at T-junctions under congested traffic conditions were studied microscopically through video recordings. On the basis of these observations, models for normal and forced merging have been developed. Video data of merging maneuvers were employed to calibrate and validate the models. Such models can be used to simulate highly congested traffic flow in a realistic manner under heterogeneous traffic conditions. They can also give insight on devising better traffic control measures at such junctions.

01329026

10-3056

English

pp 140-147

2010

Transportation Research Record: Journal of the Transportation Research Board

9780309160629

Print

Figures (6) ; Photos (1) ; References (18) ; Tables (4)

Developing countries; Highway traffic control; Intersections; Merging traffic; T intersections; Traffic congestion; Traffic data; Traffic flow; Traffic models; Traffic simulation; Vehicle mix

Video data

India

Highways; Operations and Traffic Management; I73: Traffic Control

TRIS, TRB, ATRI

Jan 25 2010 11:30AM

• Adaptive Estimation of Noise Covariance Matrices in Unscented Kalman Filter for Multiclass Traffic Flow Model
• Calibration Issues for Multistate Model of Travel Time Reliability
• Cellular Automata Model for Work Zone Traffic
• Effect of Visible Light Transmission from Vehicle Windows on Traffic Flow of Car-Following
• Effects of Merging and Diverging on Freeway Traffic Oscillations: Theory and Observation
• Empirical Analysis of Merging Behavior at Freeway On-Ramp
• Empirical Results of Effects of Various Causal Factors on Car-Following Behavior
• Generic Calibration Framework for Joint Estimation of Car-Following Models by Using Microscopic Data
• Hybrid Extended Kalman Filtering Approach for Traffic Density Estimation Along Signalized Arterials: Use of Global Positioning System Data
• Identification and Calibration of Site-Specific Stochastic Freeway Breakdown and Queue Discharge
• Lagrangian Formulation of Multiclass Kinematic Wave Model
• Likelihood and Duration of Flow Breakdown: Modeling the Effect of Weather
• Macroscopic Characteristics of Lane-Changing Traffic
• Mental Workload, Longitudinal Driving Behavior, and Adequacy of Car-Following Models for Incidents in Other Driving Lane
• Mesoscopic Modeling of Bus Public Transportation
• Multistate Model for Travel Time Reliability
• Onset of Congestion from Low-Speed Merging Maneuvers Within Free-Flow Traffic Stream: Analytical Solution
• Using Trajectory Data to Analyze Intradriver Heterogeneity in Car-Following