01697759

Component

This study addresses the problem of complete link flow inference oriented road side unit (RSU) location. Communication delay associated with observed link flows and accumulated delay associated with inferred link flows are two types of error degrading link flow inference. To consider a tradeoff between the two conflicting types of error, this study proposes a bi-objective nonlinear binary programming for the RSU location problem formulation. This programming is constrained by complete link flow inference and accurate connected vehicle penetration rate estimation. An efficient -constraint method is presented to generate Pareto-optimal frontier. The subproblem solved at each iteration is linearized using piecewise linear approximation and solved using the integration of a constraint generation method and a Benders decomposition. The proposed model is evaluated through numerical examples under different budget sizes and penetration rates of vehicles equipped with communication devices. The results depict that the proposed method reduces communication delay by 16.3% and accumulated delay by 9.8%.

This paper was sponsored by TRB committee ABJ35 Standing Committee on Highway Traffic Monitoring.

19-02749

English

9p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

References

Location; Roadside; Traffic flow; Traffic surveillance

Delays (Software)

Roadside units

Data and Information Technology; Highways; Operations and Traffic Management

Transportation Research Board Annual Meeting 2019 Paper #19-02749

TRIS, TRB, ATRI

Dec 7 2018 9:36AM