1 Introduction The advancement of technology has propelled autonomous driving into the public spotlight over the past decade,establishing it as a strategic focal point for technological competition among countries(Lin...
supported by the National Key R&D Program of China(Grant No.2022YFE0101000).
The behaviors of front vehicles are important factors that can influence the driving safety of autonomous vehicles on highways.This situation poses a serious threat to the security of autonomous vehicles,especially wh...
The emergence of road users’global positioning system(GPS)trajectory data is attracting increasing research interest in knowledge discovery to improve transport planning-related methods and tools.In fact,the widespre...
The macroscopic fundamental diagram(MFD)represents the aggregated traffic states of a road network.However,the uniqueness of an empirically estimated MFD cannot be guaranteed due to the problem of link selection.Insta...
supported by the Oregon Department of Transportation(SPR-837).
This study develops new methods for evaluating detector health via event-based outputs and existing traffic flow theory.In this work,event-based detector data outputs were used to develop empirical vehicle volume‒dens...
supported by the National Key R&D Program of China(Grant No.2023YFB4301804);the National Natural Science Foundation of China(Grant Nos.52220105001 and 52221005).
As urban transportation increasingly impacts daily life,efficiently utilizing traffic resources and developing public transportation have become crucial for addressing issues such as congestion,frequent accidents,and ...
The mobility landscape is experiencing major changes due to two emerging transportation trends,autonomous vehicles(AVs)and on-demand transportation,and the convergence of these smart mobility innovations as shared aut...
supported by the National Key R&D Program of China(2021YFB2501000).
With the rapid growth of urbanization and the increasing demand for transportation, urban traffic congestion has become a hindrance to individuals’ travel experience. Urban intersections are one of the primary source...
the National Key R&D Program of China(Grant No.2021YFB1600403);the National Natural Science Foundation of China(Grant Nos.51805312 and 52172388).
Continuous-scale trusted safety efficiency evaluation is crucial for the agile development and robust validation of autonomous vehicle intelligence.While the UN R157 Regulation evaluates automated lane-keeping system(...
supported by the National Natural Science Foundation of China(Nos.52325210,52131204,and 52302411);the Shanghai Science and Technology Innovation Action Plan Project(No.19DZ1209004);the Fundamental Research Funds for the Central Universities(No.22120220137).
Through and right-turn shared lanes are widely designed to increase the capacity of through traffic,but they can also cause delays for right-turn vehicles.This study presents a dynamic control method for a shared lane...