Network Model for Rural Roadway Tolling with Pavement Deterioration and Repair

Abstract

The objective of roadway tolling in rural areas is often tied to revenue generation for roadway maintenance. Thus, rural pricing models should directly incorporate a pavement deterioration and maintenance model. However, the interactions between these models are not simple, because tolls cause traffic diversion, which in turn affects deterioration rates and forecasted revenue. This article describes a rural pricing model which calculates diversion endogenously with a network assignment model. This model captures deterioration rates and pavement condition in the toll-setter's objective function, maximizing long-run net present value of the highway infrastructure. A novel deterioration model is used which is particularly suitable for computational efficiency. The resulting model is discontinuous and nondifferentiable, and involves solving a combinatorial knapsack problem as a subproblem. Thus, a simulated annealing-based algorithm is presented to solve it, in the framework of a new solution method built upon partitioning the feasible region. A demonstration is made using a network representing the state of Wyoming (28 zones, 60 nodes, and 188 links). Sensitivity analyses reveal that although the locations for optimal tolling are relatively stable as demand changes, the revenue collected can vary substantially. Relatively simple models are used throughout for computational reasons, and future research should investigate strategies for incorporating more advanced pavement and network models.

A risk-based optimisation methodology for pavement management system of county roads

“…The risk matrix assigns a risk factor to each roadway segment that affects the pavement condition. Saha et al (2014) studied rural pricing model incorporating pavement deterioration and maintenance in Wyoming. In this study, optimum tolling has been identified to generate sufficient revenue for maintaining rural roadways.…”

A Clustering Algorithm for Bi‐Criteria Stop Location Design with Elastic Demand

“…The studies with elastic demand are dominantly occupied by research projects solving the traffic assignment problem for transit and car (Jiang and Xie, ) with decision variables including lane allocation (Wu et al., ), turning restrictions (Long et al., ), making some streets one‐way (Miandoabchi and Farahani, ), new street construction (Poorzahedy and Turnquist, ), street capacity expansion (Leblanc, ), and pricing (Saha et al., ; Chen et al., ). TRNDP studies have used headway (Hu et al., ), frequency (Russo, 1998), route (Spasovic et al., ; Szeto and Jiang, ; Schmid, ), stops (Yo and Yang, ), and links (Laporte et al., ) as the main decision variables to solve the problem.…”

Analysis of expansions of a bus transit network considering the needs identified by the community: case study

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