Travel Behavior

The Quantified Traveler: Changing Transport Behavior with Personalized Travel Data Feedback

Jariyasunant, Jerald
Carrel, Andre
Ekambaram, Venkatesan
Gaker, David
Raja Sengupta
Joan Walker
2012

Experiments using smartphones to influence behavior have been growing rapidly in many fields, especially in health and fitness research, and studies on eco-feedback technologies. In these studies, users are first tracked to understand their baseline behaviors, then measured continuously while they receive feedback about their actions. In transportation, studies using smartphones to change behavior have been limited due to the difficulty in even tracking users in the first place. Collecting data from smartphones in a battery efficient manner is a large research problem, and behavior change...

Protocol Design for Real-Time Estimation Using Wireless Sensors

Fallah, Yaser P.
Raja Sengupta
Ammari, Habib M.
2014

This chapter discusses how a wireless sensor network can be built for real-time estimation purposes. The finite capacity of a wireless network in delivering information means that a real-time estimation process has finite accuracy too. Improving accuracy requires faster sampling and more communication; however, faster communication is not always a possibility due to scalability issues and the limited capacity of a network. In fact, in networks where the wireless medium is shared amongst many nodes, the increase in the amount of communication may even have a negative impact on the capacity...

Overcoming battery life problems of smartphones when creating automated travel diaries

Jariyasunant, Jerald
Raja Sengupta
Joan Walker
2014

Gathering data using travel diaries has been a requirement to analyze travel behaviour data for decades. Traditional pen and paper techniques of gathering data has been complemented by new technologies, most recently GPS loggers, and now smartphones. Smartphones appear to be the silver bullet in collecting travel data on a wide scale, they are widespread, applications are easy to distribute, and the hardware is reliable. However, conserving the battery life in smartphones is a challenge to creating automated travel diaries. The smartphone is not solely a travel diary tool and for a system...

Stability of Dynamic Traveling Repairman Problem Under Polling-Sequencing Policies

Huang, Jiangchuan
Raja Sengupta
2013

We establish a necessary and sufficient condition for stability in the dynamic traveling repairman problem (DTRP) [3] under the class of polling-sequencing (P-S) policies satisfying unlimited-polling and economy of scale. The P-S class includes some of the policies proven to be optimal for the expectation of system time under light and heavy loads in the DTRP literature. The number of tasks inside each polling partition is shown to be a Markov chain. Policies such as first come first serve, traveling salesman policy, nearest neighbor and Daganzo's algorithm are shown to have economy of...

Overcoming Battery Life Problems of Smartphones When Creating Automated Travel Diaries

Jariyasunant, Jerald
Raja Sengupta
Joan Walker
2014

Gathering data using travel diaries has been a requirement to analyze travel behaviour data for decades. Traditional pen and paper techniques of gathering data has been complemented by new technologies, most recently GPS loggers, and now smartphones. Smartphones appear to be the silver bullet in collecting travel data on a wide scale, they are widespread, applications are easy to distribute, and the hardware is reliable. However, conserving the battery life in smartphones is a challenge to creating automated travel diaries. The smartphone is not solely a travel diary tool and for a system...

System Time Distribution of Dynamic Traveling Repairman Problem Under the PART-n-TSP Policy

Huang, Jiangchuan
Raja Sengupta
2015

We propose the PART-n-TSP policy for the Dynamic Traveling Repairman Problem [1]. We compute a good approximation for the distribution of the system time, defined as the elapsed time between the arrival and the completion of each task. PART-n-TSP stabilizes the system for every load in [0; 1). PART-n-TSP has lower system time variance than PARTTSP [14] and Nearest Neighbor [1] when the load is neither too small or too large. We show that PART-n-TSP is also optimal for system time expectation under light and heavy loads.

Quantifying Transit Travel Experiences from the Users’ Perspective with High-resolution Smartphone and Vehicle Location Data: Methodologies, Validation, and Example Analyses

Carrel, Andre
Lau, Peter S. C.
Mishalani, Rabi G.
Raja Sengupta
Joan Walker
2015

While transit agencies have increasingly adopted systems for collecting data on passengers and vehicles, the ability to derive high-resolution passenger trajectories and directly associate them with transit vehicles in a general and transferable manner remains a challenge. In this paper, a system of integrated methods is presented to reconstruct and track travelers usage of transit at a detailed level by matching location data from smartphones to automatic transit vehicle location (AVL) data and by identifying all out-of-vehicle and in-vehicle portions of the passengers trips. High-...

An Unmanned Aerial Traffic Management Solution for Cities Using an Air Parcel Model

Foina, Aislan Gomide
Krainer, Clemens
Raja Sengupta
2015

The Unmanned Aerial System (UAS) market once belonged to professional companies only. Now many amateur pilots fly cheap, smartphone controlled models available in any electronic store. Due to altitude, speed, and weight, these flying objects can cause damage and injury. Hence, a way to manage them is necessary. This paper presents a UAS Traffic Management (UTM) system comprising three components: a UAS electronic identification plate with an embedded logger, a ground identification equipment, and a Traffic Routing System (TRS). This UTM system uses the air parcel model, which divides the...

Drones in Smart Cities: Overcoming Barriers Through Air Traffic Control Research

Foina, Aislan Gomide
Raja Sengupta
Lerchi, Patrick
Liu, Zhilong
Krainer, Clemens
2015

Within the last decade, the recent automation of vehicles such as cars and planes promise to fundamentally alter the microeconomics of transporting people and goods. In this paper, we focus on the self-flying planes (drones), which have been renamed Unmanned Aerial System (UAS) by the US Federal Aviation Agency (FAA). The most controversial operations envisaged by the UAS industry are small, low-altitude UAS flights in densely populated cities - robotic aircraft flying in the midst of public spaces to deliver goods and information. This subset of robotic flight would be the most valuable...

A Casual Analysis of FlexPass: Incentives for Reducing Parking Demand

Tang, Dounan
Lin, Ziheng
Raja Sengupta
2016

A parking incentive program named FlexPass have been conducted in University of California, Berkley. The causal structure underlying employee parking behavior is examined in this study by a randomized controlled trial, where participants receiving treatment were offered incentives for parking less and taking other modes. This field experiment lasted for three months and recruited 392 staff and faculty members. Practicable problems encountered during the study were non-random differential dropout after the group assignment and non-ignorable missing data. Missing data were measured by follow...