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20182023
most citedAn Efficient Safety-oriented Car-following Model for Connected Automated Vehicles Considering Discrete Signals

16 citations · 17 across the 3 of their papers we have counts for

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6 papers · 1 filter

eess.SY2023

Enlarging Stability Region of Urban Networks with Imminent Supply Prediction

Dianchao Lin, Li Li

Stability region is a key index to characterize a dynamic processing system's ability to handle incoming demands. It is a multidimensional space when the system has multiple OD pai…

eess.SY2023★ 16 cited

An Efficient Safety-oriented Car-following Model for Connected Automated Vehicles Considering Discrete Signals

Dianchao Lin, Li Li

With the rapid development of Connected and Automated Vehicle (CAV) technology, limited self-driving vehicles have been commercially available in certain leading intelligent transp…

eess.SY2022★ 1 cited

A Map-matching Algorithm with Extraction of Multi-group Information for Low-frequency Data

Jie Fang, Xiongwei Wu, Dianchao Lin +4

The growing use of probe vehicles generates a huge number of GNSS data. Limited by the satellite positioning technology, further improving the accuracy of map-matching is challengi…

eess.SY2020

A User-Based Charge and Subsidy Scheme for Single O-D Network Mobility Management

Li Li, Dianchao Lin, Saif Eddin Jabari

We propose a path guidance system with a user-based charge and subsidy (UBCS) scheme for single O-D network mobility management. Users who are willing to join the scheme (subscribe…

eess.SY2020

Pay for Intersection Priority: A Free Market Mechanism for Connected Vehicles

DianChao Lin, Saif Eddin Jabari

The rapid development and deployment of vehicle technologies offer opportunities to re-think the way traffic is managed. This paper capitalizes on vehicle connectivity and proposes…

eess.SY2018

Traffic state estimation using stochastic Lagrangian dynamics

Fangfang Zheng, Saif Eddin Jabari, Henry X. Liu +1

This paper proposes a new stochastic model of traffic dynamics in Lagrangian coordinates. The source of uncertainty is heterogeneity in driving behavior, captured using driver-spec…