Microsimulation study of vehicular interactions in heterogeneous traffic flow on intercity roads

Study of the basic traffic flow characteristics and comprehensive understanding of vehicular interaction are the pre-requisites for highway capacity and level of service analyses and formulation of effective traffic regulation and control measures. This is better done by modeling the system, which will enable the study of the influencing factors over a wide range. Computer simulation has emerged as an effective technique for modeling traffic flow due to its capability to account for the randomness related to traffic. This paper is concerned with application of a simulation model of heterogeneous traffic flow, named HETEROSIM, to study the relationships between traffic flow variables such as traffic volume and speed. Further, the model is also applied to quantify the vehicular interaction in terms of Passenger Car Equivalent (PCE) or Passenger Car Unit (PCU), taking a stretch of an intercity road in India as the case for the study. The results of the study, provides an insight into the complexity of the vehicular interaction in heterogeneous traffic

Environmental physiology and shelter engineering with special reference to domestic animals, LXXVI : short-term heat acclimation effects on hormonal profile of lactating cows. Part 2

September 1988.Bibliography : pages [12]-14

Data-Driven Approach for Modeling the Mixed Traffic Conditions Using Supervised Machine Learning

The article describes modeling vehicular movements using supervised machine learning algorithms with trajectory data from heterogeneous non-lane-based traffic conditions. The trajectory data on the mid-block road section of around 540 m is used in the study. Supervised machine learning algorithms are employed to model the vehicular positions. A set of parameters were identified for modeling the longitudinal and lateral positions. With the set of parameters, the algorithm’s potentiality for mimicking vehicular positions is evaluated. It was identified that supervised machine learning algorithms would model the vehicles’ positions with accuracy in the range of 20–60 mean absolute percentage error. The k-NN algorithm was marginally edging past all algorithms and acted as a promising candidate for modeling vehicular positions

A correlation of the thickness of the nitrocellulose films prepared using a spinning disk technique with the observable properties of nitrocellulose solution

209-218<span style="font-size:12.0pt;font-family: " times="" new="" roman";mso-fareast-font-family:"times="" roman";mso-ansi-language:="" en-in;mso-fareast-language:en-in;mso-bidi-language:ar-sa"="" lang="EN-IN">Spin coating method has been successfully used to cast CN-polyester composite films. Data have been presented after a systematic study of the nitrocellulose film format ion by this technique by using various types of solvents. The method can be extended to prepare CN-polyester composite solid state nuclear track detector films useful for environmental dosimetry.</span

Modeling of Traffic Flow on Indian Expressways using Simulation Technique

AbstractExpressways in India are vastly different from other roads of the country as bicycles, two-wheelers, three-wheelers and bullock carts are not allowed to ply on these facilities and the traffic essentially consists of cars and trucks. Nevertheless, there is not much research literature specific to these categories of roads. Hence, this work aims to model traffic flow on Indian Expressways by evaluating Passenger Car Unit (PCU) or Passenger Car Equivalents (PCE) of different vehicle categories at different volume levels in a level terrain using the micro-simulation model, VISSIM. This work also aims to evaluate capacity of expressways and to study the effect of vehicle composition on PCU values. It has been found that PCU decreases with increase in volume-capacity ratio irrespective of vehicle category. The study also revealed that at a given volume level, the PCU of a given vehicle category decreases when its own proportion in the stream increases

SAFA test as an aid to the diagnosis of ocular tuberculosis

A prospective double blind study was carried out to evaluate the role of soluble antigen fluorescent antibody (SAFA) test to detect ocular Tuberculosis. The study material comprised 39 patients with suspected ocular tuberculosis suffering from interstitial keratitis, sclero keratitis, granulomatous uveitis, phlyctenular keratoconjunctivitis, Eales disease and central serous retinopathy. The cases of proven ocular tuberculosis showed up as 70 percent strong reactors and 30 percent weak reactors to SAFA while none had a negative response to SAFA. Of these cases skin hypersensitivity reaction was positive only in 40 percent of the cases. The control group revealed a strong SAFA reaction in only 4 percent of cases with a weak reaction in 44 percent of cases. It thus appears that SAFA test can provide a useful addition to the routine tests in diagnosing tuberculosis

The efficacy of unsupported and supported tungstophosphoric acid and its Fe - and Al - salts in the benzylation of arenes using benzyl alcohol and benzyl chloride

340-345The efficacy of unsupported and supported tungstophosphoric acid and its Fe(III) and Al(III) salts for catalyzing the benzylation reaction using benzyl alcohol and benzyl chloride has been studied. The supports used are silica, zeolite H-ZSM-5 and an acidic clay montmorillonite K10. The significant observation of this investigation is the contrast in the activities of the unsupported and supported catalysts in the benzylation using benzyl chloride and benzyl alcohol, which may be a result of the ‘pseudo liquid phase’ behavior of heteropoly compounds

Microwave-assisted zeolite catalyzed Claisen rearrangement of allyl aryl ethers under solvent-free conditions

1552-1555Claisen rearrangement of allyl aryl ethers has been studied extensively over various zeolites under microwave activation and solvent free conditions at 80oC. Hβ-zeolite is found to be an efficient catalyst for the rearrangement. The reaction gives o-rearranged product selectively instead of expected further cyclized dihydrobenzofuran derivative