
Sandeepan Roy- Doctor of Philosophy
- assistant professor at Mahindra University
Sandeepan Roy
- Doctor of Philosophy
- assistant professor at Mahindra University
Assistant Professor, Department of Civil Engineering, Ecole Centrale School of Engineering, Mahindra University
About
17
Publications
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Introduction
Dr. Sandeepan Roy holds a Ph.D. in Civil Engineering (with specialization in Transportation Systems Engineering) from IIT Bombay, awarded in 2021. His research interests include transportation systems modeling, GIS applications and optimization in transportation infrastructure modeling and development, high-speed rail infrastructure planning, metaheuristics in alignment development and facility location, and computer-aided geometric design.
Current institution
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Education
July 2015 - October 2021
July 2013 - May 2015
July 2009 - May 2013
Publications
Publications (17)
High-speed rail (HSR) planning requires optimizing station locations and routes to balance utility, ridership, operational efficiency, and cost-effective construction. Existing studies often rely on single-heuristic and simultaneous optimization approaches that assume predetermined station sequences while overlooking real-world geographic constrain...
In urban India air pollution is a critical environmental issue with the transportation sector being a major contributor. Transitioning to electric vehicles is one essential policy decision that can reduce emissions, thus, necessitating a robust network of public charging stations. This study proposes a facility-based Multi-Criteria Decision-Making...
The advancement in information technologies has eased human life by introducing smartness to our daily objects. The paradigm of smart cities arises with moving towards advancement and making the cities more futuristic. The idea of smart cities is spreading across the globe at a phenomenal pace, and India is not left behind. In the rapidly increasin...
The essential decision factors that govern the design of highway and railway alignment are the number of intermediate points (), their locations, and the circular curve radius. The development of optimal alignment involves many challenges, such as evaluating an infinite number of potential solutions, complex terrain, environmental conditions, entwi...
The vertical alignment optimization is about developing a minimum cost curvilinear vertical profile of constrained grade sections and appropriate non-overlapping vertical curves passing through fixed control points with elevation constraints. Variations in ground profile and discreteness in unit cutting and filling costs make it a non-convex, noisy...
High-speed railway (HSR) alignment development is a complex and tedious problem due to an infinite number of possible solutions, the existence of non-linear costs and impacts, and complex location and geometric design constraints. In this study, a low-discrepancy point sampling-based modified ant colony optimization (SMACO) algorithm for obtaining...
High-speed rail station location (HSR-SL) is a complex problem with multiple conflicting factors, such as local transportation network connectivity, regional accessibility, downtown proximity, and feasibility. The proposed novel methodology quantified these factors using customized nonlinear, linear, or integer utility functions. Suitable distance...
High-speed railway alignment development is a constrained multi-objective decision-making process. While developing an alignment, various objectives transportation planners try to optimize are construction cost, operations cost, environmental impact, user cost, etc. Furthermore, a developed alignment should meet the geometric requirements of the hi...
Utility or benefit quantification of a location would be useful to the planners in assessing and determining the most suitable station locations for a high-speed rail (HSR) station. The potential HSR station location can affect the net positive socio-economic and environmental impacts, areawide local accessibility to the station, intermodal integra...
We present a compartmental meta-population model for the spread of Covid-19 in India. Our model simulates populations at a district or state level using an epidemiological model that is appropriate to Covid-19. Different districts are connected by a transportation matrix developed using available census data. We introduce uncertainties in the testi...
This paper proposes the application of the path planner method (PPM) for optimizing horizontal alignment. The method operates on the principle of rapidly exploring random tree (RRT) [1, 2] and is capable in efficiently searching non-convex high dimension space. In this method, the entire search space is explored by the randomly generated point of i...
Integrated interoperable rail systems facilitate high speed rail (HSR) train movement on conventional intercity lines, and vice versa. Hence, for such rail systems, it is preferred that HSR stations are located at existing intercity rail stations. However, all existing intercity stations may not satisfy the ridership potential and inter-station spa...
High speed railway (HSR) planners aim to select locations that optimize the overall utility or benefit of HSR stations by satisfying various desirable requirements. Among other factors, accessibility and environmental impact are important considerations for HSR station location selection. The desirable requirements of these two factors include impr...
The emergence of artificial intelligence based optimization heuristic algorithms is useful
in solving many complex transportation optimization problems. The application of these
artificial intelligence based optimization methods turns out to be more appropriate than
the classical methods in terms of both quality and the computation time; particular...
In planning process of highway development, it is important to explore the study area extensively and select the best alternative corridor. Selection of highway corridor represents a multicriteria decision process, which involves many factors (includes social, environmental, economic and engineering factors) and decision makers. These factors shoul...