原文传递
Optimizing the number and locations of freeway roadside equipment units for travel time estimation in a connected vehicle environment
| 题名： | Optimizing the number and locations of freeway roadside equipment units for travel time estimation in a connected vehicle environment |
| 其他题名： | Abbas,M.M.,&Sharma,A.(2006).Multiobjective plan selection optimization for traffic responsive control.Journal of Transportation Engineering,132(5),376–384. |
| 正文语种： | 英文 |
| 作者： | Arash Olia |
| 关键词： | connected vehicles;microsimulation;optimization;roadside equipments;travel time estimation |
| 摘要： | This article introduces amethodology for determining the optimal number and locations of roadside equipment (RSE) units for travel time estimation in vehicle-to-infrastructure and vehicle-to-vehicle communication environments. The developed approach is a novel technique for modeling RSE placement to optimize the number and positions of RSE units while minimizing the travel time estimation error rate. A non-dominated sorting genetic algorithm (NSGA-II) was used to optimize this multiobjective problem. A microsimulation model of the highway 401 network in Toronto, Canada, was used as a testbed to evaluate the proposed approach. The NSGA-II approach produces an optimal Pareto front that minimizes the number, and hence cost, of RSE units while maximizing travel time estimation accuracy. Points on the Pareto front are equally optimal, dominate over all other points in the cost-accuracy search space, and offer the option to optimize the trade-off between infrastructure cost and estimation accuracy. This empirical study illustrates the impact of RSE placement on travel time accuracy in a connected vehicle environment. The optimization results indicate that the actual locations of the RSE units have a greater influence on the quality of the estimates than the number of RSE units. Thus, the accuracy of travel time estimates depends primarily on the locations of the RSE units and less on the total RSE density. Expanding RSE deployment might improve the accuracy of estimation; however, the associated costs will simultaneously increase. |
| 出版年： | 2017 |
| 论文唯一标识： | J-96Y2017V21N04005 |
| 英文栏目名称： | Articles |
| 期刊名称： | Journal of Intelligent Transportation Systems Technology Planning and Operations |
| 拼音刊名(出版物代码)： | J-96 |
| 卷： | 21 |
| 期： | 04 |
| 页码： | 296-309 |
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