4 citations · 11 across the 6 of their papers we have counts for
6 papers
Bayesian Deep Learning Approach for Real-time Lane-based Arrival Curve Reconstruction at Intersection using License Plate Recognition Data
Yang He, Chengchuan An, Jiawei Lu +3
The acquisition of real-time and accurate traffic arrival information is of vital importance for proactive traffic control systems, especially in partially connected vehicle enviro…
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling
Jiawei Lu, Tinghan Ye, Wenbo Chen +1
Optimizing service schedules is pivotal to the reliable, efficient, and inclusive on-demand mobility. This pressing challenge is further exacerbated by the increasing needs of an a…
A Robust Integrated Multi-Strategy Bus Control System via Deep Reinforcement Learning
Qinghui Nie, Jishun Ou, Haiyang Zhang +3
An efficient urban bus control system has the potential to significantly reduce travel delays and streamline the allocation of transportation resources, thereby offering enhanced a…
Revitalizing Public Transit in Low Ridership Areas: An Exploration of On-Demand Multimodal Transit Systems
Jiawei Lu, Connor Riley, Krishna Murthy Gurumurthy +1
Public transit plays an essential role in mitigating traffic congestion, reducing emissions, and enhancing travel accessibility and equity. One of the critical challenges in design…
A Big-Data Driven Framework to Estimating Vehicle Volume based on Mobile Device Location Data
Mofeng Yang, Weiyu Luo, Mohammad Ashoori +7
Vehicle volume serves as a critical metric and the fundamental basis for traffic signal control, transportation project prioritization, road maintenance plans and more. Traditional…
Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset and Consensus-Based Models
Fangyu Wu, Dequan Wang, Minjune Hwang +6
A significant portion of roads, particularly in densely populated developing countries, lacks explicitly defined right-of-way rules. These understructured roads pose substantial ch…