103 citations · 670 across the 28 of their papers we have counts for
28 papers
Exploring the drive-by sensing power of bus fleet through active scheduling
Dai Zhuang, Ke Han
Vehicle-based mobile sensing (a.k.a drive-by sensing) is an important means of surveying urban environment by leveraging the mobility of public or private transport vehicles. Buses…
Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model
Junqing Tang, Hans Heinimann, Ke Han +2
This paper proposes a hierarchical Bayesian network model (BNM) to quantitatively evaluate the resilience of urban transportation infrastructure. Based on systemic thinkings and su…
A Bayesian network approach for assessing the general resilience of road transportation systems: A systems perspective
Junqing Tang, Hans R. Heinimann, Ke Han
We proposed a Bayesian Network Model (BNM) based on function-oriented resilience framework and ontological interdependence among 10 system qualities to probabilistically assess the…
Day-to-Day Dynamic Traffic Assignment with Imperfect Information, Bounded Rationality and Information Sharing
Yang Yu, Ke Han, Washington Ochieng
This paper presents a doubly dynamic day-to-day (DTD) traffic assignment model with simultaneous route-and-departure-time (SRDT) choices while incorporating incomplete and imperfec…
Computing Dynamic User Equilibria on Large-Scale Networks: From Theory to Software Implementation
Ke Han, Gabriel Eve, Terry Friesz
Dynamic user equilibrium (DUE) is the most widely studied form of dynamic traffic assignment, in which road travelers engage in a non-cooperative Nash-like game with departure time…
Spatial-Temporal Inference of Urban Traffic Emissions Based on Taxi Trajectories and Multi-Source Urban Data
Jielun Liu, Ke Han, Xiqun +2
Vehicle trajectory data collected via GPS-enabled devices have played increasingly important roles in estimating network-wide traffic, given their broad spatial-temporal coverage a…