Data

The Role of Behavioral Economics in Residential Choice: A Pilot Study Of Travel Patterns, Housing Characteristics, Social Connections, and Subjective Well-Being

Chatman, Daniel G.
Broaddus, Andrea
Young, Cheryl
Brill, Matthew
2013

Do people make imperfect decisions about where to live and how to travel? There is some evidence that people may overvalue privacy and material goods like housing and undervalue time for activities and social connections. We surveyed 84 individuals, almost all of them university students, before and after a planned move between homes. Respondents answered questions at two points in time about six months apart, before and after moving. They reported ratings of subjective well-being, information on travel patterns, characteristics of homes and neighborhoods, the number and type of social...

Cost Economics of Aircraft Size

Wei, Wenbin
Hansen, Mark
1993

The authors study the relationship between aircraft cost and size for large commercial passenger jets. Based on a translog model, they develop an econometric cost function for aircraft operating cost and find that economies of aircraft size and stage length exist at the sample mean of their data set, and that for any given stage length there is an optimal size, which increases with stage length. The scale properties of the cost function are changed considerably if pilot unit cost is treated as endogenous, since it is correlated with size. The cost-minimising aircraft size is therefore...

Algorithm for Finding Optimal Paths in a Public Transit Network with Real-Time Data

Jariyasunant, Jerald
Mai, Eric
Sengupta, Raja
2011

Recently, transit agencies have begun opening their route configuration and schedule data to the public, as well as providing online application programming interfaces to real-time bus positions and arrival estimates. On the basis of this infrastructure for providing transit data over the Internet, the authors developed an algorithm to calculate the travel times of K shortest paths in a public transportation network where all wait and travel times were known only in real time. Although there was a large body of work on routing algorithms in transit networks, the authors took cues from an...

Assessing the Value of Urban Air Mobility through Metropolitan-Scale Microsimulation: A Case Study of the San Francisco Bay Area

Yedavalli, Pavan S.
Onat, Emin
Peng, Xin
Sengupta, Raja
Waddell, Paul
Bulusu, Vishwanath
Xue, Min
2021

Urban Air Mobility (UAM) has garnered billions of dollars in investment with early proofs-of-concept and deployments across the world. However, its viability as a transport mode will be strongly determined by benefits in travel time. Hence, before optimizing the planning and infrastructure provision for UAM’s deployment, the dynamics of UAM trips must first be simulated and understood in order to determine the total addressable market. This work contributes to the existing scholarship in several ways. First, we use an ultra-fast parallelized, GPU-based microsimulator, MANTA, to study the...

Benefit Evaluation of Crash Avoidance Systems

Godbole, Datta N.
Sengupta, Raja
Misener, James
Kourjanskaia, Natasha
Michael, James B.
1998

A five-layer hierarchy to integrate models, data, and tools is proposed for benefits assessment and requirements development for crash avoidance systems. The framework is known as HARTCAS: Hierarchical Assessment and Requirements Tools for Crash Avoidance Systems. The analysis problem is multifaceted and large-scale. The driving environment is diverse and uncertain, driver behavior and performance are not uniform, and the range of applicable collision avoidance technologies is wide. Considerable real-world data are becoming available on certain aspects of this environment, although the...

Crowd Sourcing Indoor Maps with Mobile Sensors

Xuan, Yiguang
Sengupta, Raja
Fallah, Yaser
2012

The paper describes algorithms required to enable the crowd sourcing of indoor building maps, i.e., where GPS is not available. Nevertheless to enable crowd sourcing we use the 3-axis accelerometers and the 3-axis magnetometers available in many smart phones and the piezometer in a Nike running shoe. Volunteers carry the sensors while walking around in buildings, and use some application on their smart phone to send the data to a mapping server. We present the algorithms to obtain walking trajectories from the data by dead reckoning, and to estimate indoor maps with multiple walking...

Decentralized Control of Unmanned Aerial Vehicle Collaborative Sensing Missions

Ryan, Allison
Tisdale, John
Godwin, Mark
Coatta, Daniel
Nguyen, David
Spry, Stephen
Sengupta, Raja
Hedrick, J. Karl
2007

Cooperative unmanned aerial vehicle (UAV) teams can serve as a mobile sensor networks to autonomously execute sensing tasks in uncertain and dynamic environments. We have implemented a UAV system that performs collaborative sensing missions under the supervision of a single user. Decentralized task allocation and autonomous mission execution are enabled by onboard computing and ad-hoc wireless communication and provide robustness to communication and resource losses in quickly evolving scenarios. The collaboration algorithm combines shared and local information to produce multi-step plans...

Decentralized Diagnosability of Regular Languages is Undecidable

Sengupta, R.
Tripakis, S.
2002

We study decentralized fault diagnosis in the context of discrete-event systems. The objective is for a group of agents (the diagnosers) to determine whether a plant has generated a faulty behavior or not, and this, a bounded number of steps after the fault occurred. The plant is modeled as a finite-state automaton producing sequences of events, over some alphabet. One or more special events model faults. Each diagnoser observes only a subset of events generated by the plant. The diagnosers can communicate their observations, which are delivered without loss and in order, but with all...

Department of Computer Sciences University of Salzburg, Austria

Sengupta, Joshua Love Raja
2025

Data center cloud computing distinguishes computational services such as database transactions and data storage from computational resources such as server farms and disk arrays. Cloud computing enables a software-as-a-service business model where clients may only pay for the service they really need and providers may fully utilize the resources they actually have. The key enabling technology for cloud computing is virtualization. Recent developments, including our own work on virtualization technology for embedded systems, show that service-oriented computing through virtualization may...

Dependence of Cooperative Vehicle System Performance on Market Penetration

Shladover, Steven E.
Polatkan, Gungor
Sengupta, Raja
VanderWerf, Joel
Ergen, Mustafa
Bougler, Benedicte
2007

Cooperative vehicle systems (CVS) can provide intelligent transportation systems services such as probe vehicle information and hazard warnings by exchanging data among suitably equipped vehicles as they travel. The sensitivity of the performance of CVS to the market penetration of suitably equipped vehicles is explained by using Monte Carlo analyses and simulations of wireless message propagation. The CVS functions are implemented by using wireless vehicle-vehicle data communications, which can be successful only when other equipped vehicles exist within wireless range to receive the...