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Title: | PLACEMENT CHARACTERISTICS OF MIXED TRAFFIC ON MULTI-LANE DIVIDED ROADS |
Authors: | Khusnure, Santosh ShriPatrao |
Keywords: | CIVIL ENGINEERING;PLACEMENT CHARACTERISTICS;MIXED TRAFFIC;MULTI-LANE DIVIDED ROADS |
Issue Date: | 2009 |
Abstract: | Roads and vehicles are primarily manufactured for longitudinal movements, lateral vehicle interactions are equally important for a traffic engineer. The width of the road is infinitely small as compared to its length, but multi-lane highways allow side to side movement of vehicles in adjacent lanes, or during changing of lanes. The present study includes the placement behavior of mixed traffic on multi-lane divided roads. Placement data of 5 min interval at seven sections of four-lane and four sections of six-lane divided highways were collected. The available literature suggests that vehicle lateral distribution on a highway generally follows a normal distribution curves. Therefore the placement data was used to model mathematically by normal distribution. The K-S test was used to fit the goodness-of-fit of the distribution. K-S test of goodness-of-fit approved the fit of mixed normal distributions at all sections of six-lane roads. However, the mixed normal distribution or any other mathematical model failed to define the placement behavior on all sections of four-lane divided highway. There the study on untidy mixed traffic flow on four-lane divided highway with grouping of 5 min traffic volume of all sections with paved and unpaved separately was made and fuzzy approach is used to develop the models for Auto, Two-wheeler, Car and HV in MATLAB software. The degree of untidiness of these vehicles from model was compared with the degree of untidiness of 5 min traffic volume and the maximum error in difference of 5 was observed. |
URI: | http://hdl.handle.net/123456789/7562 |
Other Identifiers: | M.Tech |
Research Supervisor/ Guide: | Chandra, Satish |
metadata.dc.type: | M.Tech Dessertation |
Appears in Collections: | MASTERS' THESES (Civil Engg) |
Files in This Item:
File | Description | Size | Format | |
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CED G14382.pdf | 3.57 MB | Adobe PDF | View/Open |
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