Abstract
This disclosure describes systems and methods for mitigating vehicular gridlock, which can occur when circular dependencies between vehicles contribute to a traffic standstill. A disclosed system may utilize a coordination engine, for example a cloud-based service, that can receive real-time location data from client devices (e.g., smartphones, in-vehicle infotainment systems, wearable devices) associated with vehicles. The engine can construct a digital representation of the gridlocked area, which may include a dependency graph modeling the physical blocking relationships between vehicles. A gridlock resolution algorithm may then analyze the dependency graph to compute a sequence of vehicle movements designed to help clear the traffic jam. These suggested movements can be dispatched as a series of instructions (e.g., WAIT, PROCEED) to applications on the client devices of individual drivers. By providing centralized, sequential guidance, the system can facilitate temporary order to assist in resolving complex deadlocks that may be difficult for uncoordinated drivers to solve individually.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Gupta, Gaurav, "Sequenced Vehicle Guidance for Traffic Congestion Mitigation", Technical Disclosure Commons, (September 03, 2025)
https://www.tdcommons.org/dpubs_series/8543