Project Summary
Sustainability spans over a broad range of measures including economic efficiency, environmental impact, and system resilience and adaptivity. Accurate inference of traffic conditions can lead to effective management and control of transportation systems, which is critical to all aspects of sustainability, especially in terms of resource utilization and adaptivity to unexpected incidents. The objective of this project is to develop efficient and reliable methods for dynamic information acquisition and integration in transportation networks.
Loop detectors, probe vehicles, personal GPS devices, and smartphones have been used to monitor traffic conditions in real time. It is urgent to develop information acquisition and integration strategies using such heterogeneous sensors. The term ‘Information acquisition’ refers to strategizing the deployment of new sensors as well as effective utilization of data collected by existing sensors.
The following specific research tasks are proposed:
– Evaluating the observability of a traffic network (led by the UCI PI)
– Integration of data from different sources (UCD and UCI)
– Optimal sensor deployment in a traffic network (led by the UCD PI)