Divyakant Tahlyan

Divyakant Tahlyan
Northwestern University | NU · Department of Civil and Environmental Engineering

PhD Candidate Northwestern University

About

18
Publications
17,410
Reads
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42
Citations
Additional affiliations
September 2019 - present
Northwestern University
Position
  • Research Assistant
April 2019 - June 2019
Northwestern University
Position
  • Research Assistant
Description
  • Engineering Analysis 3
August 2016 - May 2018
University of South Florida
Position
  • Research Assistant
Education
September 2019 - June 2022
Northwestern University
Field of study
  • Civil Engineering
August 2016 - May 2018
University of South Florida
Field of study
  • Civil Engineering

Publications

Publications (18)
Article
Agent based simulation models have emerged as a significant aid for policy makers as they help them understand and predict the impact of various policies to make informed decisions. In this study, an agent based simulation model for Kempegowda International Airport, Bangalore is developed to understand and predict the impact of various proposed pol...
Article
Large-scale planned special events (PSEs) can pose unique transportation and logistics challenges. Data collection and simulation are important tools to address these challenges, although they are often difficult because of event size and complexity. This paper discusses methods to address the challenge of multimodal simulation at large PSEs throug...
Article
This study uses GPS data of 1461 participants at a planned special event organized in Oshkosh, Wisconsin named AirVenture to characterize their spatio-temporal activity participation behavior. The GPS data is used to derive activity sequences for participants and study the attractiveness of various activities at the event site. A validation procedu...
Article
The COVID-19 pandemic required employees and businesses across the world to rapidly transition to work from home over extended periods, reaching what is likely the upper bound of telework in many sectors. Past studies have identified both advantages and disadvantages of teleworking. The pandemic experience offers a unique opportunity to examine emp...
Article
In a large city, operating a bus transit service on a route network based on destination-oriented or point-to-point approach, which considers all possible routes with the node set, is cumbersome and impractical. Alternatively, a Hub and Spoke network, which combine the destination-oriented and direction-oriented approaches, could be a more efficien...
Article
Full-text available
Social capital is a critical glue for economic and social development in urban areas. Yet, to effectively guide research and practice, there is a need for careful measurement of social capital and how it links to important aspects of urban system functions. This study is aimed at examining the multi-dimensional nature of social capital and the rela...
Article
Social capital is a critical glue for economic and social development in urban areas. Yet, to effectively guide research and practice, there is a need for careful measurement of social capital and how it links to important aspects of urban system functions. This study is aimed at examining the multi-dimensional nature of social capital and the rela...
Article
Full-text available
Type of activity is an important aspect that influences the travel behavior of the trip makers. The present study uses the concept of an acceptable trip distance to compare the walking characteristics across subgroups of various socio-demographic factors and the type of activity. It further formulates a multiple linear regression model to investiga...
Poster
This study presents a novel ensemble learning approach called stacking for real-time short-term traffic state prediction. The approach consists of a level-1 meta-learner that combines predictions from several different level-0 models by making use of the past performance information of the level-0 models. The meta-learner consists of least square e...
Article
This paper presents a new approach to evaluate route choice set generation algorithms, which is based on comparing the algorithm-generated choice sets for an origin-destination (OD) location pair against the portfolio of observed routes for that OD pair. The approach offers the ability to evaluate both the generation of relevant routes that are typ...
Chapter
This chapter focuses on assessing the benefits of incorporating attitudinal and perception variables for the spatial transferability of travel forecasting models. Specifically, this study compares the spatial transferability, in an empirical setting, for three model structures: 1) multinomial logit (MNL), 2) integrated choice and latent variable (I...
Article
This study presents a comprehensive exploratory analysis of truck route choice diversity in the state of Florida, for both long-haul and short-haul truck travel segments. It employs six metrics to measure three different dimensions of diversity in truck route choice between any given origin–destination (OD) pair. These dimensions are: (a) number of...
Thesis
Full-text available
This thesis evaluates truck route choice set generation algorithms and derives guidance on using the algorithms for effective generation of choice sets for modeling truck route choice. Specifically, route choice sets generated from a breadth first search link elimination (BFS-LE) algorithm are evaluated against observed truck routes derived from la...
Conference Paper
This paper evaluates truck route choice set generation algorithms and derives guidance on using the algorithms for effective generation of choice sets for modeling truck route choice. Specifically, route choice sets generated from a breadth first search link elimination (BFS-LE) algorithm are evaluated against observed truck routes derived from lar...
Technical Report
Full-text available
The primary goal of this research was to use large streams of truck-GPS data to analyze travel routes (or paths) chosen by freight trucks to travel between different origin and destination (OD) location pairs in metropolitan regions of Florida. Two specific objectives were pursued. The first objective was to measure and analyze the diversity in tra...
Technical Report
Full-text available
This project investigated the use of truck-GPS data to develop route choice data for Tampa Bay region. The project used the American Transportation Research Institute’s (ATRI’s) truck-GPS data to first convert them into truck trips and then derive chosen routes for the trips. The procedure was applied to the first 15 days of truck-GPS data from eac...
Conference Paper
Full-text available
Analytical queuing models have found practical application in a wide range of fields like traffic studies, manufacturing processes and computer networks. For airport operations, average waiting times and queue lengths are pivotal planning parameters from the perspective of both customer satisfaction and smooth management of facilities. Due to the u...
Conference Paper
Full-text available
In the rapidly urbanizing country like India, there is a surge of traffic in all metropolitan cities due to migration from rural to urban areas. Unlike situation which existed two to three decades ago, trends in cities are different today. As traffic on the roads is increasing regularly, it is very important to simulate current as well as future sc...

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