Akash Anand

@kitcoek.in

Assistant Professor, Civil Engineering Department
KIT's College of Engineering (Empowered Autonomous), Kolhapur

Akash Anand


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https://researchid.co/akkidon100987

RESEARCH, TEACHING, or OTHER INTERESTS

Civil and Structural Engineering, Multidisciplinary, Artificial Intelligence, Computational Theory and Mathematics
7

Scopus Publications

15

Scholar Citations

2

Scholar h-index

Scopus Publications

  • Mode Choice Preferences Using Disaggregate Modeling: Insights from Kolhapur, India
    Sujay D. Potdar, Avishkar A. Patil, Akash Anand, Samarth S. Shirol, Tushar S. Saptasagare, Abhishek P. Patil
    Lecture Notes on Multidisciplinary Industrial Engineering, 2026
  • Traffic Management During Peak Hours Using Traffic Simulation and Statistical Tools
    Digvijaysinh S. Phalake, Nitin B. Nesarkar, Akash Anand, Pradyumna R. Bhosale, Sudarshan B. Ghuge, Vaibhavi G. Anjikhane
    Lecture Notes on Multidisciplinary Industrial Engineering, 2026
  • Modal Split and Cost-Sensitivity Analysis for Various Travel Modes Using Calibrated Parameters in NL Modeling
    Varghese George, Akash Anand
    Transportation Research Procedia, 2025
    The present study demonstrates the use of the nested-logit (NL) approach in modal-split modeling with input related to the total cost of travel determined based on the cost of travel per km, and the cost of travel time per minute incurred by trip-makers. The calibrated best value of the scaling parameter that simulated the actual travel pattern as in Amritsar city in India was identified based on a trial-and-error approach, followed by cost-based sensitivity analyses. The study revealed that an increase in the combined costs of travel by private modes including intermediate public transport (IPT) modes resulted in a higher estimated ridership by public modes of travel such as mini-buses. Similar analyses were performed to estimate the ridership for private modes Vs IPT modes. One of the key findings of the cost-sensitivity analysis is that even when the total cost of travel by private modes including IPT was increased by up to 35%, the ridership by these modes remained more dominant than that of public modes. In Amritsar, trip-makers rely on independently operated minibuses and IPT alternatives that provide shared rides in place of buses. The insights provided can help formulate policies for promoting public transport modes.
  • Fly Ash-Based Sustainable Building Materials and Life Cycle Assessment of Fly Ash
    Akash Anand, Naresh V. Patil, Amit Chauhan, Amit K. Jaiswal, Akash Saharan, Rahul Gautam, Harish Sharma
    Circular Economy and Sustainable Management Coal and Bio Coal Fly Ash, 2025
    The increased energy demands have placed enormous pressure on finite fossil fuels. These fossil fuels consumption has reached 15 billion million tonnes (MT) annually, which has contributed to 37.55 billion MT of carbon dioxide emissions in 2023. These emissions lead to global warming, climate change, and other associated changes. Therefore, there is a need for carbon sequestration for a better tomorrow. Fly ash (FA), a waste product generated by coal-fired electric and steam-generating plants is a potent waste that can be used for different practical uses. Moreover, it is estimated that around 500–600 MT of FA is generated annually. This waste can be tapped for resource recovery. In fact, FA is an emerging building material that can also contribute to carbon sequestration. This chapter explores FA-based bricks, concrete, and other building materials for sustainability. These materials require lesser cement and other natural resources. The produced materials with comparable strength, stability, and density could synergize with the conventional building materials and could be a small step towards sustainability with circular economy.
  • Modeling Trip-generation and Distribution using Census, Partially Correct Household Data, and GIS
    Akash Anand, Varghese George
    Civil Engineering Journal Iran, 2022
    The efficiencies of urban transport systems in several cities are drastically affected due to difficulties imposed by rapid urbanization and the proliferation of private modes of transport. The conventional four-stage travel demand modeling approach provides an ideal platform to formulate strategies to rectify problems in urban transport. Trip generation is the first stage in this exercise (where trip production and trip attractions are modelled), followed by trip distribution in the second stage. The present work related to the development of models for trip generation and trip distribution necessitated the use of census data related to the number of households in each zone since the available revealed preference (RP) data compiled based on household interview surveys was partially incorrect. A review of the literature indicated that studies on the use of sparsely available and partially inaccurate data such as revealed preference and zone-specific secondary data on trip generation and trip distribution were limited. In the present study, the use of the initial trip generation regression models developed based on existing household survey data resulted in prediction errors ranging between 26% and 32%. Modeling efforts after applying corrections to zone-specific characteristics based on secondary data and the use of trip rate per household later resulted in prediction errors of less than ±5%. In the latter phase of work related to trip distribution modeling, a log-linear regression model was developed based on a smaller refined set of the revealed preference data obtained by eliminating erroneous data in a stage-wise manner. The use of the calibrated and validated model ensured that the errors in predicted trip frequencies were less than 0.6%. Here, the information on the inter-zonal aerial distances that formed part of the trip distribution model was obtained using GIS approaches that employed the moment area method, which considered the intensity of land use at the sub-zone level. The combined strategy incorporates the use of GIS-based approaches to determine inter-zonal aerial distances, and the use of the refined relationship between trip interchanges and the inter-zonal aerial distances in the development of a reliable log-linear regression model for trip distribution contributed towards attaining higher accuracies in travel demand estimation. The modeling approaches described herein do not rely on the use of sophisticated technology, and time-consuming data processing. The study will provide the basic framework for transport planners to formulate better strategies for travel demand modeling where available data is noisy and less reliable. Doi: 10.28991/CEJ-2022-08-09-013 Full Text: PDF
  • Basics on Categorizing Travel-Time-Based Degrees of Satisfaction Using Triangular Fuzzy-Membership Functions
    Akash Anand, Varghese George, Rohini Kanthi, Moduga Tagore, M.S. Padmashree
    Transportation Research Procedia, 2020
    The travel desires of trip-makers in urban activity centres depend mainly on the location of residential areas, proximity to various activity centres, household characteristics, and socio-economic factors that influence the choice of travel modes. Decision-making with regard to the choice of a particular mode of travel is fuzzy in nature, and seldom follows a rigid rule-based approach. In this context, the fuzzy-logic approach was considered since it could handle inherent randomness in decision-making related to mode-choice. The present study focuses on the application of this technique making use of revealed preference survey data collected through CES and MVA Systra, later compiled and corrected in various stages at NITK. The difference between the actual travel time by a particular mode, and the theoretical travel time based on average vehicular speeds was used as an important indicator in determining the degrees of satisfaction of the trip-maker. This indicator was computed, and fitted using a normal distribution. It was assumed that indicator values between µ-3σ and µ could be considered for the category of satisfied trip-makers according to the three sigma rule where µ is the mean indicator value, and σ represents the standard deviation. The computed values of the indicators were used in classifying the data into 6 categories of degrees of satisfaction that formed the basic framework for modelling using fuzzy-logic technique. This paper aims at understanding the basic mathematical computations involved in defuzzification using the centroid method for triangular membership functions, and provides a comparison with results obtained using MATLAB.
  • Development of a reliable trip distribution matrix based on sparse and limited data using regression and ANN
    Varghese George, Akash Anand, M. S. Padmashree, Rohini Kanthi
    International Conference on Transportation and Development 2019 Smarter and Safer Mobility and Cities Selected Papers from the International Conference on Transportation and Development 2019, 2019
    This study is focused on deriving a reliable trip-interchange matrix considering the limited availability of dependable trip-data in developing countries. In the present study on Amritsar City, India, only revealed preference data on trips made on the previous day was available. Additional data on trips produced, and the number of households and the zonal-population was obtained from secondary sources. The first phase of this study includes identification of important activity centres, preparation of base-maps, geo-referencing, determination of the zone-centroids, and determination of inter-zonal aerial distances. The second phase includes determination of corrected trip-generations, step-wise filtering of the existing erroneous revealed-preference data, development of a log-linear regression model in addition to an ANN model for predicting the final subset of filtered data points, and the comparison of the two approaches based on the trip-frequencies. The final origin-destination matrix was found to be best predicted using the ANN approach.

RECENT SCHOLAR PUBLICATIONS

  • from Kolhapur, India
    SD Potdar, AA Patil, A Anand, SS Shirol
    Recent Advances in Logistics, Supply Chain and Transportation, Volume 2 … , 2026
    2026
  • Traffic Management During Peak Hours Using Traffic Simulation and Statistical
    DS Phalake, NB Nesarkar, A Anand, PR Bhosale, SB Ghuge, ...
    Recent Advances in Logistics, Supply Chain and Transportation, Volume 2 … , 2026
    2026
  • Fly Ash-Based Sustainable Building Materials and Life Cycle Assessment of Fly Ash
    NVPACAKJASRGHS Akash Anand
    Circular Economy and Sustainable Management, pp.77-90 , 2025
    2025
  • Modal Split and Cost-Sensitivity Analysis for Various Travel Modes Using Calibrated Parameters in NL Modeling
    V George, A Anand
    Transportation Research Procedia 82, 3110-3130 , 2025
    2025
  • Mode Choice Preferences Using Disaggregate Modeling: Insights from Kolhapur, India
    SD Potdar, AA Patil, A Anand, SS Shirol, TS Saptasagare, AP Patil
    International Conference on Logistics, Supply Chain and Transportation, 31-39 , 2024
    2024
  • Traffic Management During Peak Hours Using Traffic Simulation and Statistical Tools
    DS Phalake, NB Nesarkar, A Anand, PR Bhosale, SB Ghuge, ...
    International Conference on Logistics, Supply Chain and Transportation, 23-30 , 2024
    2024
  • Modeling trip-generation and distribution using census, partially correct household data, and GIS
    A Anand, V George
    Civil Engineering Journal 8 (9), 1936-1957 , 2022
    2022
    Citations: 9
  • Basics on categorizing travel-time-based degrees of satisfaction using triangular fuzzy-membership functions
    A Anand, V George, R Kanthi, M Tagore, MS Padmashree
    Transportation Research Procedia 48, 1555-1574 , 2020
    2020
    Citations: 6
  • Development of a Reliable Trip Distribution Matrix Based on Sparse and Limited Data Using Regression and ANN
    V George, A Anand, MS Padmashree, R Kanthi
    International Conference on Transportation and Development 2019, 280-290 , 2019
    2019
  • Fitting Statistical Distributions for Speeds and Headways for Peak and Non-Peak Mixed Traffic Flows in Mangalore City Karnataka, India
    AA Varghese George, Snehith Purumala, Ishan S. Tamhane, Sreeja Reddy, P.G ...
    International Journal of Earth Sciences and Engineering 9 (2), pp. 512-520 , 2016
    2016

MOST CITED SCHOLAR PUBLICATIONS

  • Modeling trip-generation and distribution using census, partially correct household data, and GIS
    A Anand, V George
    Civil Engineering Journal 8 (9), 1936-1957 , 2022
    2022
    Citations: 9
  • Basics on categorizing travel-time-based degrees of satisfaction using triangular fuzzy-membership functions
    A Anand, V George, R Kanthi, M Tagore, MS Padmashree
    Transportation Research Procedia 48, 1555-1574 , 2020
    2020
    Citations: 6
  • from Kolhapur, India
    SD Potdar, AA Patil, A Anand, SS Shirol
    Recent Advances in Logistics, Supply Chain and Transportation, Volume 2 … , 2026
    2026
  • Traffic Management During Peak Hours Using Traffic Simulation and Statistical
    DS Phalake, NB Nesarkar, A Anand, PR Bhosale, SB Ghuge, ...
    Recent Advances in Logistics, Supply Chain and Transportation, Volume 2 … , 2026
    2026
  • Fly Ash-Based Sustainable Building Materials and Life Cycle Assessment of Fly Ash
    NVPACAKJASRGHS Akash Anand
    Circular Economy and Sustainable Management, pp.77-90 , 2025
    2025
  • Modal Split and Cost-Sensitivity Analysis for Various Travel Modes Using Calibrated Parameters in NL Modeling
    V George, A Anand
    Transportation Research Procedia 82, 3110-3130 , 2025
    2025
  • Mode Choice Preferences Using Disaggregate Modeling: Insights from Kolhapur, India
    SD Potdar, AA Patil, A Anand, SS Shirol, TS Saptasagare, AP Patil
    International Conference on Logistics, Supply Chain and Transportation, 31-39 , 2024
    2024
  • Traffic Management During Peak Hours Using Traffic Simulation and Statistical Tools
    DS Phalake, NB Nesarkar, A Anand, PR Bhosale, SB Ghuge, ...
    International Conference on Logistics, Supply Chain and Transportation, 23-30 , 2024
    2024
  • Development of a Reliable Trip Distribution Matrix Based on Sparse and Limited Data Using Regression and ANN
    V George, A Anand, MS Padmashree, R Kanthi
    International Conference on Transportation and Development 2019, 280-290 , 2019
    2019
  • Fitting Statistical Distributions for Speeds and Headways for Peak and Non-Peak Mixed Traffic Flows in Mangalore City Karnataka, India
    AA Varghese George, Snehith Purumala, Ishan S. Tamhane, Sreeja Reddy, P.G ...
    International Journal of Earth Sciences and Engineering 9 (2), pp. 512-520 , 2016
    2016