A Safety Index for Smart Mobility using Real-Time Crowdsourced Data

N. A. Smith, Adriana I. Camacho, Edgar J. Escobedo, Jonatan M. Contreras, O. Mondragon, N. Villanueva-Rosales, R. Cheu, Víctor M. Larios-Rosillo
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引用次数: 2

Abstract

Smart Mobility is an important component of Smart Cities with most of the current approaches focusing on crash incidents for safety within Smart Mobility. The Safe Community System (SCS) aims to collect and provide information to city residents about events beyond crash incidents using mobile technology. The work reported in this manuscript aims to manage and provide information to residents in a meaningful way to support their decision making. This paper describes our efforts in extending an initial proof-of-concept of the SCS by establishing a Safety Index (SI)-a derived metric that aggregates the value of resident-submitted reports to generate real-time safety levels for streets within a city considering the lifespan and verification of these reports. The SCS mobile application has been refined to provide further information about a specific incident. The SCS updated design also proposes a Safe Path Algorithm (SPA) which is a modified Dijkstra’s algorithm that uses the SI to compute a safe path for the resident. The goal of the SCS is to support resident’s decision-making when choosing a route and thus fostering safety for Smart Mobility. Efforts like the SCS contribute to converting cities to Smart Cities.
使用实时众包数据的智能交通安全指数
智能交通是智慧城市的重要组成部分,目前大多数方法都侧重于智能交通中的碰撞事故安全。安全社区系统(SCS)旨在利用移动技术收集并向城市居民提供有关碰撞事故以外事件的信息。在这份手稿中报告的工作旨在以有意义的方式管理和提供信息给居民,以支持他们的决策。本文描述了我们通过建立安全指数(SI)来扩展SCS的初步概念验证所做的努力。安全指数(SI)是一个派生的度量标准,它汇总了居民提交的报告的价值,从而考虑到这些报告的使用寿命和验证性,生成城市内街道的实时安全水平。SCS移动应用程序已经过改进,以提供有关特定事件的进一步信息。SCS更新的设计还提出了一种安全路径算法(SPA),这是一种改进的Dijkstra算法,它使用SI来计算居民的安全路径。该系统的目标是支持居民在选择路线时的决策,从而促进智能交通的安全。像SCS这样的努力有助于将城市转变为智慧城市。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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