Project

Real-time, on-demand mobility systems have gradually revolutionised the transportation means. However, they continue to exhibit problems on inadequate vehicles at peak times. The popularity of ‘sharing’ may ultimately solve such problems as more passengers are served over time, particularly in high-demand (high-density) locations, thereby realising efficient, comfortable, and environmentally friendly transportation. While, existing sharing methods only arrange each order based on current information and do not apply subsequently received information to pursue more optimal route arrangements. Their research explicitly improves large-scale vehicle sharing methods using subsequent information and proposes the concept of a ‘wait time threshold’ for a vehicle, to manage the constraint contradictions in this process. Based on a representative highdemand case of serving all inbound and outbound passengers at Shenzhen Bao’ an International Airport, a system with consideration of subsequent information provides significant improvements comparing to a system without it.

Collaborator: Yi Zhang

Paper: Dynamic real-time high-capacity ride-sharing model with subsequent information https://trid.trb.org/view/1727013

Dynamic Real-Time High-Capacity Ride Sharing Model for Airport Access https://trid.trb.org/view/1756670

Project 2 Fire evacuation game

Wildfires have become a chronic catastrophe in California with a rapidly changing risk landscape. We cannot rely solely on historical data and empirical solutions to form evacuation strategies; it must be admitted that changes in fire propagation patterns and different human behavior patterns depend on various variables (e.g., cellular network status, road conditions, communication method). Our research group has been investigating the socio-technological challenges faced by communities at the Wildland Urban Interface (WUI). And this game is to create a cost-effective method for stakeholders to participate in realistic evacuation drills, an efficient data collection framework for gaining insight into behavioral and physical uncertainties, and a robust human-computer interaction platform for visualizing effective evacuation strategies.

We provided two versions of game(Windows and Mac), you can download from this link and try it. For more information about background algorithm, Read more about it

Collaborator: Prof. Kenichi Soga, Bingyu Zhao, Paola Lorusso

Project 3 Fire systhesis algorithm

Many existing example-based discrete texture synthesis methods are effective in generating textures that are similar with exemplar. But for texture with many objects, they lead to the repetitive patterns in synthesized texture. However, in some circumstances, people need to synthesize object with different shape and color, especially for object with inhomogeneous texture and dynamic shape, such as fire or cloud. Our research proposed algorithm that can automatically synthesize textures with different shape, but they also retain the same edge and texture attributes with input sample.

Collaborator: Prof. Kenichi Soga, Kecheng Chen