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9篇 您的检索式：作者名="Bhargab"

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		题名	作者	年代	出处	被引量
	1	modeling generalized cost of travel for rural bus users显示文摘	Kumar C V P Debasis basu and bhargab maitra	2004	Journal of Public Transportation2004，7，2：	1
	2	Investigation for improved artificial intelligence techniques for thyristorcontrolled series-compensated transmission line fault classification with discrete wavelet packet entropy measures显示文摘	BHARGAB V RUDRA P M BISWARUP D	2014	Electric Power Components and Systems2014，42，6：	1
	3	Modeling congestion on urban roads and assessing level of service显示文摘	Bhargab Maitra Sikdar P K Dhingra S L	1999	Journal of Transportation Engineering1999，125，6：	1
	4	Testing of Low-cost Digital Microfluidic Biochips with Non-Regular Array Layouts显示文摘	Yang Zhao Krishnendu Chakrabarty Bhargab Bhattacharya	2012	Journal of Electronic Testing2012，，2：	1
	5	Euler vector for search and retrieval of gray-tone images显示文摘	ARIJIT B BHARGAB B B MALAY K K	2005	IEEE Trans on Systems Man and Cybernetlcs-part B: Cybernetics2005，35，4：	1
	6	Modeling congestion on urban roads and assessing level of service显示文摘	Maitra Bhargab Sikdar P K Dhingra S L	1999	Journal of Transportation Engineering1999，，11：	1
	7	Euler Vector for Search and Retrieval of Gray-Tone Images显示文摘	Arijit B Bhargab B B Malay K K		0，，04：	1
	8	A simple architecture for computing moments and orientation of an Image显示文摘	Sabyasachi Dey Bhargab B Malay K Kundu	2002	Fundamenta Informaticae2002，52，：	1
	9	A methodology for calibration of traffic micro-simulator for urban heterogeneous traffic operations显示文摘Traffic micro-simulation is a widely accepted tool in many countries for the evaluation and assessment of alternative design schemes.However,for several developing countries,replicating heterogeneous,non-lane based traffic in a micro-simulation framework is gaining increased importance and still remains a challenge due to its complexity.The present study demonstrates a methodology to calibrate a traffic micro-simulation model giving due consideration to vehicle-class specific driver behavior in an urban Indian scenario for a midblock section and an intersection approach in Kolkata.The sensitive parameters affecting the driver behavior were identified for every vehicle type using Latin Hyper cube design,taking vehicle class specific travel time as a performance measure.Linear regression models were developed for each vehicle class considering the sensitive driving behavior parameters.The models highlight that the dependency of measure of effectiveness(MOE)of one vehicle type is not only limited to its own driver behavior but also on parameters of other vehicle classes.A genetic algorithm based optimization was adopted to obtain optimal parameter sets for different vehicle classes.The optimum values were found to vary significantly across all vehicle classes at a 95%confidence level.Single and multi-criteria calibration principles are also implemented to yield much more realistic results and subsequently minimizing weighted error for all vehicle classes.	Palak Maheshwary Kinjal Bhattacharyya Bhargab Maitra Manfred Boltze	2020	Journal of Traffic and Transportation Engineering(English Edition)2020，7，4：	0

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