QUANTIFICATION OF MIX AND ITS EFFECT ON TRAFFIC PARAMETRS

PRESENTED BYABHILASH KUMARMTECH TRANSPORTATIONREG: 14PCE030

Under the guidance ofMr Partha Pratim SarkarAssistant ProfessorNIT AGARTALA

ContentINTRODUCTIONLITERATURE REVIEWOBJECTIVEWORK PLANIMPACTREFERNCES

IntroductionTRAFFIC CONDITION IN INDIA

HETEROGENEOUS OR

MIX TRAFFIC

INTRODUCTION

WHAT IS MIX TRAFFIC???? TRAFFIC COMPOSED OF MOTORISED, NON MOTORISED ,TWO WHEELER AND THREE WHEELER.

ANALYSIS MODELANALYSIS MODELS WHICHEVER

PRESENT MAINLY CONCERNS FOR HOMOGENEOUS TRAFFIC

MODELS ARE REQUIRED WHICH ARE SENSITIVE TO MIX TRAFFIC CONDITION

QUANTIFICATION OF MIXProcess to find out what is the

amount mix or composition in cellular level in heterogeneous traffic. Sales

BUS AND TRUCKSMTHWMTWBicycleCars

TRAFFIC FLOW MODELS

MACROSCOPIC

MICROSCOPIC

LITERATUTRE REVIEWBains et al. (2012) evaluated

the effect of vehicle composition (heavy vehicles and light commercial vehicles) on PCU values at different volume levels, to a limited extent, on expressways in India. PCU values were evaluated using the micro-simulation model, VISSIM.

Brooks (2012) Studied on the influence of roadway width and volume to capacity ratio on PCU values and statistical analysis determined that there is a significant difference in volume of cars only between homogeneous and heterogeneous traffic conditions for various road widths. Hence the PCU values of heterogeneous traffic are recommended for the design of traffic systems over homogeneous traffic conditions.

Arasan and Arkatkar (2011) developed a heterogeneous traffic simulation flow model using HETEROSIM for this study. They mainly focused on the finding capacity as number of vehicle passing a given section of road or traffic lane per unit time where several types of vehicles with widely varying static and dynamic characteristic are moving.

Pan and kerali (2007) conducted a research on the effects of non-motorized traffic flow on motorized vehicle speeds on the basis of field observations of vehicle speeds on Chinese roads. They observed that there exist a linear relationship between motorized vehicle speeds and non-motorized traffic flow under a range of motorized traffic flow volumes.

Mallikarjuna and Rao (2006) developed PCU factors for trucks, buses and two-wheelers under heterogeneous traffic conditions prevailing on Indian roads using modified cellular automata simulation model. They found that PCU values decrease with increase in the vehicle’s proportion in the traffic stream.

OBJECTIVE To quantify the mix in the heterogeneous traffic. An attempt will be made to develop traffic

simulation model that will characterize Indian Traffic condition i.e. heterogeneous traffic and no lane discipline.

To study the effect of slow moving vehicle on the microscopic parameters on transit or para-transit facility of Agartala , Delhi, Guwahati and Kolkata on a single lane Urban road.

EQUIPMENTS Trazer (Traffic analyzer and

enumerator ) Video recorder with Tripod Storage in Hard drive Simulation software MOVSIM,

VISSIM.

TRAZERReal time video processing,real time vehicle classification,vehicle tracking and counting,flow statistics,Vehicle flow at a particular time,velocity of traffic,Extensive vehicle trajectory log.

WORK PLAN SELECTIO

N OF TOPIC

LITERATURE

REVIEW

CARRY OUT

SURVEYUSE OF HD CAM

FEED DATA

ANALYSE USING

TRAZERDEVELOP SIMULATION MODEL

AGARTALA

DELHI

GUWAHATI

KOLKATA

Project Impact - Expected outcomeSimulation modeling is an increasingly popular and effective tool for analyzing a wide variety of dynamical problems which are difficult to be studied by other means. Usually, these processes are characterized by the interaction of many system components or entities. The simulation model will enable proper understanding of heterogeneous traffic flow characteristics in undivided road for better utilization of transport infrastructure and effective regulation and control of traffic.

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Brooks, M.R. (2012), “Acceleration characteristics of vehicles in rural Pennsylvania”, IJRRAS, vol.12 No.3.

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