01658325

Component

Dynamic speed harmonization has shown great potential to smoothen the flow of traffic and reduce travel time in urban street networks. The existing methods, while providing great insights, are not scalable and real-time. To address this gap, this paper develops Distributed Optimization and Coordination Algorithms (DOCA) for dynamic speed harmonization in urban street networks. DOCA will decompose the nonlinear network-level speed harmonization problem to several sub-network-level nonlinear problems thus, significantly reduces problem complexity and ensures scalability and real-time runtime constraints. DOCA creates effective coordination in decision making between each two sub-network-level nonlinear problems to push solutions towards optimality and guarantee attaining near-optimal solutions. DOCA is incorporated into a model predictive control approach to account for stochastic transportation demand and capacity and further reducing computational complexity. The authors applied the proposed solution technique to a real-world network in downtown Springfield, Illinois and observed that it was scalable and real-time while finding solutions that were at most 1.3% different from the optimal solution of the problem. The authors found significant improvements in network operations as a result of dynamic speed harmonization.

This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems.

18-00703

English

7p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Algorithms; Highway operations; Networks; Optimization; Standardization; Traffic flow; Traffic speed; Urban areas

Dynamic speed harmonization

Highways; Operations and Traffic Management

Transportation Research Board Annual Meeting 2018 Paper #18-00703

TRIS, TRB, ATRI

Jan 8 2018 10:11AM