Travel Behavior

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

Huang, Jiangchuan
Sengupta, Raja
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.

The San Francisco Travel Quality Study: tracking trials and tribulations of a transit taker

Carrel, Andre
Sengupta, Raja
Walker, Joan L.
2017

In helping understand the dynamics of travel choice behavior and traveler satisfaction over time, multi-day panel data is invaluable (McFadden in Am Econ Rev 91(3): 351–378, 2001). The collection of such data has become increasingly feasible thanks to smartphones, which researchers can use to present surveys to travelers and to collect additional information through the phones’ location services and other sensors. This paper describes the design and implementation of the San Francisco Travel Quality Study, a multi-day research study conducted in autumn 2013 with 838 participants. The...

Urban Air Mobility: Viability of Hub-Door and Door-Door Movement by Air

Bulusu, Vishwanath
Sengupta, Raja
2020

Owing to a century of innovation in connected and automated aircraft design, for the rst time in history, air transport presents a potential competitive alternative to road, for hub-to-door and door-to-door urban services. In this article, we study the viability of air transport, for moving people and goods in an urban area, based on three metrics - enroute travel time, fuel cost and carbon dioxide (CO2) emissions. We estimate the metrics from emission standards and operational assumptions on vehicles based on current market data and compare electric air travel to gasoline road travel. For...

The use of auctions for allocating airport access rights

Ball, Michael O.
Berardino, Frank
Hansen, Mark
2018

This paper considers the challenge of managing congestion at an airport by restricting the total number of flight operations at that airport. It reviews historical evidence, economic theory and data analysis related to the challenge of airport congestion management. It argues that this evidence presents a strong case for the use of a market mechanism to control access and more specifically for the use of periodic auctions to allocate limited term slot leases. It then shows that the existing body of knowledge and practical experience with the use of combinatorial auctions lead naturally to...

Design and Justification for Market-Based Approaches to Airport Congestion Management

Ball, Michael O.
Hansen, Mark
Swaroop, Prem
Zou, Bo
2013

Chronic delays have long plagued the international air transportation system. System delays can be reduced either by expanding capacity or restricting system demand. While capacity expansion through infrastructure investment is most often called for to reduce delays, such investments in many cases can be impractical, politically infeasible or too expensive. Thus controlling, in some way, the demand placed on the system can become attractive. However, such measures bring their own set of challenges. Using recent efforts to implement slots controls in the US for background and context, we...

Safety impacts of implementing median bus lane system in Seoul Metropolitan Area : vehicle-to-vehicle and vehicle-to-pedestrian crashes

Choi, Keechoo
Lee, Jaeyoung
Ryu, Ingon
Yi, Yongju
2018

In metropolitan areas, public transportation has been encouraged as a sustainable mode because they can effectively transport many people and have less impact on traffic congestion and environment. In order to increase public transportation ridership, many jurisdictions have attempted to provide improved travel time and reliability of the public transportation system. These efforts include installing transit signal priority, dedicated median/curb bus lanes, bus rapid transit, bus bypass shoulder lanes, et cetera. In Korea, dedicated median bus lanes have been installed and operated since...

Using Cooperative Adaptive Cruise Control (CACC) to Form High-Performance Vehicle Streams. FINAL REPORT

Liu, Hao
Xiao, Lin
Kan, Xingan (David)
Shladover, Steven E.
Lu, Xiao-Yun
Wang, Meng
Schakel, Wouter
van Arem, Bart
2018

Freeway capacity and throughput can be significantly improved via CACC vehicle string operations. This research aims to provide authoritative predictions regarding impacts of CACC on traffic flow and quantitative estimations of the influences of CACC operation strategies that might create the capacity and throughput improvement in the freeway traffic stream. To this end, the PATH and Delft team have independently developed micro simulation platforms that represent the behaviors of CACC vehicles and their interactions with human drivers. The models have been calibrated using archived data...

Urban Attractors: Discovering Patterns in Regions of Attraction in Cities

Alhazzani, May
Alhasoun, Fahad
Alawwad, Zeyad
González, Marta C.
2021

Understanding the dynamics by which urban areas attract visitors is important in today’s cities that are continuously increasing in population towards higher densities. Identifying services that relate to highly attractive districts is useful to make policies regarding the placement of such places. Thus, we present a framework for classifying districts in cities by their attractiveness to daily commuters and relating Points of Interests (POIs) types to districts’ attraction patterns. We used Origin-Destination matrices (ODs) mined from cell phone data that capture the flow of trips between...

Congestion, Excess Demand, and Revealed Capacity in California Freeways

Jia, Zhanfeng
Varaiya, Pravin
Chen, Chao
Petty, Karl
2000

The paper makes four assertions, supported by an extensive empirical study of freeways in Los Angeles and Orange County. First, maximum throughput occurs at the free flow speed of 60 mph, and not between 35 and 45 mph, as is often assumed. So congestion must be measured as the additional vehicle-hours of delay traveling below 60 mph.

Deep Learning Framework for Vessel Trajectory Prediction using Auxiliary Tasks and Convolutional Networks

Shin, Yuyol
Kim, Namwoo
Lee, Hyeyeong
In, Soh Young
Hansen, Mark
Yoon, Yoonjin
2024

With the exponential growth in vessel traffic and the increasing complexity of maritime operations, there is a pressing need for reliable and efficient methods to forecast vessel movements. The accurate prediction of vessel trajectories plays a pivotal role in various maritime applications, including route planning, collision avoidance, and maritime traffic management. Traditional statistical and machine learning approaches have shown limitations in capturing the complex spatial–temporal patterns of vessel movements. Deep learning techniques have emerged as a promising solution due to...