30 citations · 64 across the 7 of their papers we have counts for
7 papers
MGL2Rank: Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph Fusion
Ming Xu, Jing Zhang
The identification of important nodes with strong propagation capabilities in road networks is a vital topic in urban planning. Existing methods for evaluating the importance of no…
Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data
Salomón Wollenstein-Betech, Chuangchuang Sun, Jing Zhang +1
Existing work has tackled the problem of estimating Origin-Destination (OD) demands and recovering travel latency functions in transportation networks under the Wardropian assumpti…
Data-Driven Estimation of Travel Latency Cost Functions via Inverse Optimization in Multi-Class Transportation Networks
Jing Zhang, Ioannis Ch. Paschalidis
We develop a method to estimate from data travel latency cost functions in multi-class transportation networks, which accommodate different types of vehicles with very different ch…
Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models
Jing Zhang, Ioannis Ch. Paschalidis
Under Markovian assumptions, we leverage a Central Limit Theorem (CLT) for the empirical measure in the test statistic of the composite hypothesis Hoeffding test so as to establish…
Data-driven Estimation of Origin-Destination Demand and User Cost Functions for the Optimization of Transportation Networks
Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras +1
In earlier work (Zhang et al., 2016) we used actual traffic data from the Eastern Massachusetts transportation network in the form of spatial average speeds and road segment flow c…
The Price of Anarchy in Transportation Networks: Data-Driven Evaluation and Reduction Strategies
Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras +1
Among the many functions a Smart City must support, transportation dominates in terms of resource consumption, strain on the environment, and frustration of its citizens. We study…
An Improved Composite Hypothesis Test for Markov Models with Applications in Network Anomaly Detection
Jing Zhang, Ioannis Ch. Paschalidis
Recent work has proposed the use of a composite hypothesis Hoeffding test for statistical anomaly detection. Setting an appropriate threshold for the test given a desired false ala…