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Erschienen in:
2023 | OriginalPaper | Buchkapitel
7. How Analytics Can Be Used to Guide Smart City Strategies
verfasst von : Donald Graham
Erschienen in: Integrated Electronic Payment Technologies for Smart Cities
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Abstract
This research develops an analytic method for smart city pricing by using the I-95 Express facility to minimize total travel time and reduce congestion. We apply nonlinear programming (NLP) analytic techniques and the finite difference stochastic approximation (FDSA), genetic algorithm (GA), and simulated annealing (SA) stochastic algorithms to formulate and solve the problem within a cell transmission framework. The solution produced is the optimal flow and optimal toll required to minimize total travel time and thus is the system-optimal solution. We perform a comparative evaluation of FDSA, GA, and SA nonlinear programming algorithms used to solve the NLP, and the ANOVA results show that there are differences in the performance of the NLP algorithms in solving this problem and reducing travel time. We then conclude by demonstrating that econometric forecasting methods utilizing vector autoregressive (VAR) techniques can be applied to successfully forecast demand.