1 code implementation • 30 Jan 2024 • Pablo Guarda, Sean Qian
This paper leverages macroscopic models and multi-source spatiotemporal data collected from automatic traffic counters and probe vehicles to accurately estimate traffic flow and travel time in links where these measurements are unavailable.
no code implementations • 5 Jun 2022 • Xiaohui Liu, Sean Qian, Hock-Hai Teo, Wei Ma
Curb space is one of the busiest areas in urban road networks.
1 code implementation • 23 Apr 2022 • Pablo Guarda, Sean Qian
This data must be collected from surveys or travel diaries, which may be labor intensive, costly and limited to a small time period.
no code implementations • 20 Apr 2022 • Wei Ma, Sean Qian
The proposed framework is cast into the computational graph and a reparametrization trick is developed to estimate the mean and standard deviation of the probabilistic dynamic OD demand simultaneously.
no code implementations • 29 Sep 2020 • Weiran Yao, Sean Qian
In this paper, we propose to mine Twitter messages as a probing method to understand the impacts of people's work and rest patterns in the evening/midnight of the previous day to the next-day morning traffic.
no code implementations • 21 May 2020 • Weiran Yao, Sean Qian
The main question to address in this paper is to recommend optimal signal timing plans in real time under incidents by incorporating domain knowledge developed with the traffic signal timing plans tuned for possible incidents, and learning from historical data of both traffic and implemented signals timing.
1 code implementation • 6 Oct 2019 • Wei Ma, Sean Qian
The last decades have witnessed the breakthrough of autonomous vehicles (AVs), and the perception capabilities of AVs have been dramatically improved.
no code implementations • 12 Mar 2019 • Wei Ma, Xidong Pi, Sean Qian
Provided with some observations of vehicular flow for each class in a large-scale transportation network, how to estimate the multi-class spatio-temporal vehicular flow, in terms of time-varying Origin-Destination (OD) demand and path/link flow, remains a big challenge.
1 code implementation • 21 Jan 2019 • Shuguan Yang, Wei Ma, Xidong Pi, Sean Qian
The case study also shows that, in generally, the prediction model works better for business areas than for recreational locations.