Analysis of Macroscopic Traffic Flow Parameters

Analysis of Macroscopic vocation Flow Parameters analysis OF MACROSCOPIC TRAFFIC FLOW PARAMETERS OF HETEROGENEOUS TRAFFIC A CASE STUDY OF SELECTED STRETCH OF DAKOR countermand Keywords Traffic flow, macroscopic parameter, capacity, level of service.Transportation refers as a movement of persons, animals and goods from one transmit (origin) to some other place (destination). Now a days, transportation is going to be a part of our life to bring home the bacon our necessity. Increase in transportation is because of append in population introductoryally. The population of India is growing rapidly with a national average growth rate of 2.7 percent per annum (Census of India, 2010). The growing cities have generated the high levels of demand for displace by motor vehicles in the cities. This has resulted in tremendous increase in the population of automobiles in the cities. The Indian population increased with a decadal growth of 17.64% (census 2011) and annual growth rate of 1.2% (World Bank report). Next to this, the innovation in the automobile industry, liberalized economy and change in peoples life has led to tremendous increase in the vehicle ownership levels. This has resulted in changing in nature of concern characteristics on road mesh topology and ultimately it affects the capacity of roadway, level of service on stream and congestion on roadway. Hence contract in revive, unwanted commerce delays, road accidents, avocation jam, increase in travel while and so forth are resulted. Therefore, the analysis of concern stream parameter is needed to workplace for the effective planning, design, operation and charge of roadway scheme.Homogeneous job has strict lane discipline and has traffic entity types whose physical dimensions do non vary much. In the nonhomogeneous traffic they loose lane discipline prevails. The physical dimensions of the traffic entities vary greatly. Operationally, quickening and deceleration characteristics vary great ly because nonmotorized traffic entities exist along with motorized vehicles on the road. The most of the studies in such traffic make use of the methods and concepts developed for homogeneous traffic.In India, it seems that the traffic is greatly protest due to vehicular and road user characteristics. The interaction between different size vehicles and their drivers as nearly as the infrastructure gives rise to many complex phenomena on our roads. To lowstand traffic flow, carnal knowledgeships have been found between the 2 main characteristics flow and velocity. Flow, speed, and density are the critical parameters used to describe characteristics of traffic flow. A traffic flow fundamental diagram is used to characterize the relation between these ternary parameters, and plays an important role in traffic flow theory and traffic engineering. In capacity analysis, speed-flow relation models are used to determine the level of service. The time gap between successive vehicle a rrivals, namely, time headway between vehicles is an important traffic flow characteristic that affects the safety, level of service and road capacity. accord time headways and their distributions will enable better management of traffic.The aim of study is to analyse the macroscopic traffic flow parameters of heterogeneous traffic on selected stretch of Dakor. The objectives of study are as following,To estimate the basic traffic flow parameters for different traffic stream under study.To develop analytical relationship among traffic flow parameters.To determine the congestion, capacity and level of service of selected road stretch under study.To suggest the worthy solution for the observed problem of congestion.Dakor is a pilgrim area and it is observed that a large amount of tripper attraction takes place. The surrounding area comprise of large numbers of quarries, as a result of this major traffic observed at the site are multi axle trucks, resulting into considerable congest ion. Hence it is necessary to understand the traffic behavior at the chosen site. Dakor, in its earlier phases as pilgrimage center in Gujarat, was famed for the Danknath temple, a place of Shiva worship. Recently, Dakor is included in one of the six major pilgrimage places under Yatradham Vikas Board by Government of Gujarat for development as a well-planned and well organized pilgrimage place to facilitate the lacs and lacs of visiting pilgrims. More than 70-80 lacs of pilgrims visit the place every year and a continuous increase is witnessed every year. Dakor is located at 22.75N 73.15E. By visual observation and pilot survey, it is examine that the traffic density increases to jam density.METHODOLOGYDATA COLLECTIONThe study consist of conducting various surveys on selected stretches of Dakor. entropy collection is carried come to the fore carefully as it is the raw info for final analysis. There are two types of data collected in data collection namely primary winding Data and Secondary Data. Primary data is collected from spot speed survey, classified volume count survey and road geometry data by self-measurement of road stretch. Whenever secondary data is collected from the maps given by Road Building division of Kheda District.Primary data collectionRoad inventory, traffic volume count and spot speed study is carried out manually.Classified volume countNumber of vehicles passing through a point or entering a stretch is considered in the analysis of roadway operations. Traffic volume can be counted by manual or video graphic techniques. Here manual traffic survey is carried out for 0900 am to 700 pm with 15 minute time interval and volume of traffic is mensurable using tally counter on mid-block section of Dakor to Umreth road.Analysis of traffic volume data has been through with(p) and following results shows the composition if traffic on road and variation of traffic on road.Figure Traffic volume analysis for Dakor to UmrethFigure Traffic volum e analysis for Umreth to DakorSpot speed study revivify is one of the most important characteristic of traffic as measure of effectiveness of traffic system performance. Speed is highly sensitive to the interaction among vehicles in the stream. The spot speed study is carried out on Dakor to Umreth road. The average speed, time mean speed, space mean speed, standard deviation is calculated from spot speed data.Spot speed study data analysis on Umreth to Dakor roadstandard deviation aloofness mean speed(km/hr)time mean speed(km/hr) average speed(km/hr)minimum speed(km/hr) maximum speed(km/hr)2-w8.0737.1138.7538.5725.7156.843-w8.1233.4835.1631.7622.04544-w11.3137.4740.4637.9126.3463.53Bus7.3335.6737.0736.6226.3451.43Truck3.2932.6533.0132.7327.6940.00Multi Axle Truck4.7935.9836.6136.0027.6946.96LCV4.3034.5935.0934.2927.6951.43Spot speed study data on Dakor to Umreth roadstandard deviationSpace mean speed(km/hr)time mean speed(km/hr)median speed(km/hr)minimum speed(km/hr)maximum speed(k m/hr)2-w4.6538.2337.7037.9630.86603-w5.8333.8634.8533.752446.964-w7.2941.4742.9741.5423.4860Bus5.7334.5735.4934.2923.4854Truck5.1435.3436.0534.8427.6949.05Multi Axle Truck3.6836.9737.3237.313046.96LCV3.1037.8038.0537.9630.8645.00