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Gurram, S and Sivaraman, V and Apple, JT and Pinjari, AR (2019) Agent-based modeling to simulate road travel using Big Data from smartphone GPS: An application to the continental United States. In: 2019 IEEE International Conference on Big Data, Big Data 2019, 9-12, December 2019, United States, pp. 3553-3562.
Biswas, M and Pinjari, AR and Dubey, SK (2019) Travel Time Variability and Route Choice: An Integrated Modelling Framework. In: 11th International Conference on Communication Systems and Networks, COMSNETS 2019, 7 January 2019 - 11 January 2019, Bengaluru, pp. 737-742.
Biswas, M and Bhat, CR and Ghosh, S and Pinjari, AR (2024) Choice models with stochastic variables and random coefficients. In: Journal of Choice Modelling, 51 .
Biswas, M and Bhat, CR and Pinjari, AR (2024) The use of pooled RP-SP choice data to simultaneously identify alternative attributes and random coefficients on those attributes. In: Transportation Research Part B: Methodological, 186 .
Saxena, c and Bhat, CR and Pinjari, AR (2023) Separation-based parameterization strategies for estimation of restricted covariance matrices in multivariate model systems. In: Journal of Choice Modelling, 47 .
Nirmale, SK and Pinjari, AR (2023) Discrete choice models with multiplicative stochasticity in choice environment variables: Application to accommodating perception errors in driver behaviour models. In: Transportation Research Part B: Methodological, 170 . pp. 169-193.
Saxena, S and Pinjari, AR and Bhat, CR and Mondal, A (2023) A flexible multiple discrete–continuous probit (MDCP) model: application to analysis of expenditure patterns of domestic tourists in India. In: Transportation .
Nirmale, S and Sharma, A and Pinjari, AR (2023) Multi-vehicle anticipation-based driver behavior models: a synthesis of existing research and future research directions. In: Transportation Letters .
Saxena, S and Pinjari, AR and Paleti, R (2022) A multiple discrete-continuous extreme value model with ordered preferences (MDCEV-OP): Modelling framework for episode-level activity participation and time-use analysis. In: Transportation Research Part B: Methodological, 166 . pp. 259-283.
Deepa, L and Mondal, A and Raman, A and Pinjari, AR and Bhat, CR and Srinivasan, KK and Pendyala, RM and Ramadurai, G (2022) An analysis of individuals’ usage of bus transit in Bengaluru, India: Disentangling the influence of unfamiliarity with transit from that of subjective perceptions of service quality. In: Travel Behaviour and Society, 29 . pp. 1-11.
Nirmale, SK and Pinjari, AR and Sharma, A (2022) A panel data-based discrete-continuous modelling framework to analyze longitudinal driver behavior in homogeneous and heterogeneous disordered traffic conditions. In: Transportation Letters .
Khaddar, S and Saxena, S and Fatmi, MR and Pinjari, AR (2022) An Episode-Level Joint Model for Activity Engagement, Duration, and Destination Location Choice Decisions. In: Transportation Letters .
Saxena, S and Pinjari, AR and Bhat, CR (2022) Multiple discrete-continuous choice models with additively separable utility functions and linear utility on outside good: Model properties and characterization of demand functions. In: Transportation Research Part B: Methodological, 155 . pp. 526-557.
Bhat, CR and Mondal, A and Pinjari, AR and Saxena, S and Pendyala, RM (2022) A multiple discrete continuous extreme value choice (MDCEV) model with a linear utility profile for the outside good recognizing positive consumption constraints. In: Transportation Research Part B: Methodological, 156 . pp. 28-49.
Saxena, S and Pinjari, AR and Roy, A and Paleti, R (2021) Multiple discrete-continuous choice models with bounds on consumptions. In: Transportation Research Part A: Policy and Practice, 149 . pp. 237-265.
Nirmale, SK and Pinjari, AR and Sharma, A (2021) A discrete-continuous multi-vehicle anticipation model of driving behaviour in heterogeneous disordered traffic conditions. In: Transportation Research Part C: Emerging Technologies, 128 .
Pinjari, AR and Bhat, C (2021) Computationally efficient forecasting procedures for Kuhn-Tucker consumer demand model systems: Application to residential energy consumption analysis. In: Journal of Choice Modelling, 39 .
Pellegrini, A and Pinjari, AR and Maggi, R (2021) A multiple discrete continuous model of time use that accommodates non-additively separable utility functions along with time and monetary budget constraints. In: Transportation Research Part A: Policy and Practice, 144 . pp. 37-53.
Chen, T and Sze, NN and Saxena, S and Pinjari, AR and Bhat, CR and Bai, L (2020) Evaluation of penalty and enforcement strategies to combat speeding offences among professional drivers: A Hong Kong stated preference experiment. In: Accident Analysis and Prevention, 135 .
Dias, FF and Kim, T and Bhat, CR and Pendyala, RM and Lam, WHK and Pinjari, AR and Srinivasan, KK and Ramadurai, G (2020) Modeling the Evolution of Ride-Hailing Adoption and Usage: A Case Study of the Puget Sound Region. In: Transportation Research Record, 2675 (3). pp. 81-97.
Dias, FF and Lavieri, PS and Sharda, S and Khoeini, S and Bhat, CR and Pendyala, RM and Pinjari, AR and Ramadurai, G and Srinivasan, KK (2020) A comparison of online and in-person activity engagement: The case of shopping and eating meals. In: Transportation Research Part C: Emerging Technologies, 114 . pp. 643-656.
Zhao, D and Balusu, SK and Sheela, PV and Li, X and Pinjari, AR and Eluru, N (2020) Weight-categorized truck flow estimation: A data-fusion approach and a Florida case study. In: Transportation Research Part E: Logistics and Transportation Review, 136 .
Calastri, C and Hess, S and Pinjari, AR and Daly, A (2020) Accommodating correlation across days in multiple-discrete continuous models for time use. In: Transportmetrica B, 8 (1). pp. 90-110.
Tahlyan, D and Pinjari, AR (2020) Performance evaluation of choice set generation algorithms for analyzing truck route choice: insights from spatial aggregation for the breadth first search link elimination (BFS-LE) algorithm. In: Transportmetrica A: Transport Science, 16 (3). pp. 1030-1061.
Devaraj, A and Ambi Ramakrishnan, GM and Nair, GS and Srinivasan, KK and Bhat, CR and Pinjari, AR and Ramadurai, G and Pendyala, RM (2020) Joint Model of Application-Based Ride Hailing Adoption, Intensity of Use, and Intermediate Public Transport Consideration among Workers in Chennai City. In: Transportation Research Record, 2674 (4). pp. 152-164.
Ma, J and Ye, X and Pinjari, AR (2019) Practical Method to Simulate Multiple Discrete-Continuous Generalized Extreme Value Model: Application to Examine Substitution Patterns of Household Transportation Expenditures. In: Transportation Research Record, 2673 (8). pp. 145-156.
Gurram, S and Stuart, AL and Pinjari, AR (2019) Agent-based modeling to estimate exposures to urban air pollution from transportation: Exposure disparities and impacts of high-resolution data. In: Computers, Environment and Urban Systems, 75 . pp. 22-34.
Menon, N and Barbour, N and Zhang, Y and Pinjari, AR and Mannering, F (2019) Shared autonomous vehicles and their potential impacts on household vehicle ownership: An exploratory empirical assessment. In: International Journal of Sustainable Transportation, 13 (2). pp. 111-122.
Balusu, SK and Pinjari, AR and Mannering, FL and Eluru, N (2018) Non-decreasing threshold variances in mixed generalized ordered response models: A negative correlations approach to variance reduction. In: Analytic Methods in Accident Research, 20 . pp. 46-67.
Enam, A and Konduri, KC and Pinjari, AR and Eluru, N (2018) An integrated choice and latent variable model for multiple discrete continuous choice kernels: Application exploring the association between day level moods and discretionary activity engagement choices. In: Journal of Choice Modelling, 26 . pp. 80-100.
