Intelligent Highway Infrastructure for Planned Evacuations

Weigle, Michele C.; Olariu, Stephan

doi:10.1109/pccc.2007.358947

Cited by 9 publications

(6 citation statements)

References 6 publications

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“…This paper could be the base for building other vehicularcrowdsourcing based applications in support of smart services in Smart Cities and the Smart Communities of the future. For example, it appears natural and useful to harness vehicular crowdsourcing in support of planned and unplanned evacuation efforts [67,68].…”

Section: Concluding Remarks and Challenges Aheadmentioning

confidence: 99%

Vehicular Crowdsourcing for Congestion Support in Smart Cities

Olariu

2021

Smart Cities

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Under present-day practices, the vehicles on our roadways and city streets are mere spectators that witness traffic-related events without being able to participate in the mitigation of their effect. This paper lays the theoretical foundations of a framework for harnessing the on-board computational resources in vehicles stuck in urban congestion in order to assist transportation agencies with preventing or dissipating congestion through large-scale signal re-timing. Our framework is called VACCS: Vehicular Crowdsourcing for Congestion Support in Smart Cities. What makes this framework unique is that we suggest that in such situations the vehicles have the potential to cooperate with various transportation authorities to solve problems that otherwise would either take an inordinate amount of time to solve or cannot be solved for lack for adequate municipal resources. VACCS offers direct benefits to both the driving public and the Smart City. By developing timing plans that respond to current traffic conditions, overall traffic flow will improve, carbon emissions will be reduced, and economic impacts of congestion on citizens and businesses will be lessened. It is expected that drivers will be willing to donate under-utilized on-board computing resources in their vehicles to develop improved signal timing plans in return for the direct benefits of time savings and reduced fuel consumption costs. VACCS allows the Smart City to dynamically respond to traffic conditions while simultaneously reducing investments in the computational resources that would be required for traditional adaptive traffic signal control systems.

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Section: Concluding Remarks and Challenges Aheadmentioning

confidence: 99%

Vehicular Crowdsourcing for Congestion Support in Smart Cities

Olariu

2021

Smart Cities

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“…To accommodate these special needs, authorized vehicles using a special encryption key will be allowed to upload essential information to individual TMUs. For example, police cruisers may upload information related to various types of alerts, planned lane closures, contraflow, suggested detour routes, as well as the availability of essential resources at various interchanges [97].…”

Section: Role-based Vehicle To Tmu Communicationsmentioning

confidence: 99%

SEE-TREND: SEcurE Traffic-Related EveNt Detection in Smart Communities

Olariu

Popescu

2021

Sensors

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It has been widely recognized that one of the critical services provided by Smart Cities and Smart Communities is Smart Mobility. This paper lays the theoretical foundations of SEE-TREND, a system for Secure Early Traffic-Related EveNt Detection in Smart Cities and Smart Communities. SEE-TREND promotes Smart Mobility by implementing an anonymous, probabilistic collection of traffic-related data from passing vehicles. The collected data are then aggregated and used by its inference engine to build beliefs about the state of the traffic, to detect traffic trends, and to disseminate relevant traffic-related information along the roadway to help the driving public make informed decisions about their travel plans, thereby preventing congestion altogether or mitigating its nefarious effects.

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“…In [2], the author proposes a system, NOTICE, where sensor belts embedded in the roadway, every mile or so, are used to communicate with vehicles to infer the traffic incident from passing vehicles' trajectory, specifically, the lane-changing information. [24] also proposes using NOTICE as highway infrastructure to support planned evacuations. [3] presents how to use table as data structure to analyze possible event on some lane also by using vehicle's lane-changing information and it is designed to enhance the existing incidents detection techniques.…”

Section: ) Energy and Storage Costs At Roadside Sensorsmentioning

confidence: 99%

Heterogeneity-Aware Design for Automatic Detection of Problematic Road Conditions

Qin

Wang

et al. 2011

2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems

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Abstract-Improving driving safety is one major objective of forming vehicular ad hoc networks (VANETs). Existing VANETs usually assume drivers detect and report safetyrelated road conditions. However, drivers may not be willing to perform these duties; even they are, these duties may distract them from driving and thus make driving unsafe. To address the problem, this paper proposes an automatic detection system. By taking advantage of the communication capability of roadside sensors, the proposed system can automatically detect and locate problematic road conditions without any human intervention under varying traffic densities. Extensive simulations have been conducted to verify the efficiency of the proposed system.

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Intelligent Highway Infrastructure for Planned Evacuations

Abstract: Abstract

Cited by 9 publications

References 6 publications

Vehicular Crowdsourcing for Congestion Support in Smart Cities

Vehicular Crowdsourcing for Congestion Support in Smart Cities

SEE-TREND: SEcurE Traffic-Related EveNt Detection in Smart Communities

Heterogeneity-Aware Design for Automatic Detection of Problematic Road Conditions

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