most citedDiscovery of Important Crossroads in Road Network using Massive Taxi Trajectories

83 citations · 97 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 1 cited

TraffNet: Learning Causality of Traffic Generation for What-if Prediction

Ming Xu, Qiang Ai, Ruimin Li +4

Real-time what-if traffic prediction is crucial for decision making in intelligent traffic management and control. Although current deep learning methods demonstrate significant ad…

cs.OH2014★ 3 cited

Study on FLOWSIM and its Application for Isolated Signal-ized Intersection Assessment

Yuhan Jia, Jianping Wu, Yiman Du +1

Recently the traffic related problems have become strategically important, due to the continuously increasing vehicle number. As a result, microscopic simulation software has becom…

cs.CE2014

Car-following model on two lanes and stability analysis

Yuhan Jia, Jianping Wu, Yiman Du +1

Considering lateral influence from adjacent lane, an improved car-following model is developed in this paper. Then linear and non-linear stability analyses are carried out. The mod…

physics.soc-ph2014★ 10 cited

Impacts of rainfall weather on urban traffic in beijing: analysis and modeling

Yuhan Jia, Jianping Wu, Yiman Du +1

Recently an increasing number of researches have been focused on the influence of rainfall intensity on traffic flow. Conclusions have been reached that inclement weather does have…

cs.AI2014★ 83 cited

Discovery of Important Crossroads in Road Network using Massive Taxi Trajectories

Ming Xu, Jianping Wu, Yiman Du +4

A major problem in road network analysis is discovery of important crossroads, which can provide useful information for transport planning. However, none of existing approaches add…