An NTCIP-based Semantic ITS Middleware for Emergency Vehicle Preemption

Chen, Kuang-Ho; Dow, Chyi‐Ren; Lin, Da-Jie; Yang, Chi; Chiang, Wei-Chun

doi:10.1109/itsc.2008.4732608

Cited by 11 publications

(5 citation statements)

References 15 publications

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“…The majority of TSPS in the literature relies on electronics techology allowing the detection of EVs, the communication between those vehicles and traffic signals. Such technology includes Wireless Sensor Network (WSN) [4], RFID [31], national transportation communications for Intelligent Transport System protocol (NTCIP) [5], centralized server that supportes real traffic information and calculates the shortest path for EVs to pass by [13]. Shibuya, et al [32] have presented an attempt for traffic management that supports EVs, called FAST emergency preemption system.…”

Section: An Overview On Traffic Signals Control and Priority Systemsmentioning

confidence: 99%

Multi-agent preemptive longest queue first system to manage the crossing of emergency vehicles at interrupted intersections

Louati

Elkosantini

Darmoul³

et al. 2018

Eur. Transp. Res. Rev.

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Favouring the crossing of Emergency Vehicles (EVs) through intersections in urban cities is very critical for people lives. There have been several efforts toward developing Traffic Signal Control Systems (TSCS) dedicated to control efficiently the traffic flow, but few are the efforts toward developing Traffic Signal Priority Systems (TSPS) dedicated to favour the crossing of EVs (such as ambulances, firefighters, police cars, etc.). Multi-Agent Systems were considered to develop several distributed TSCS, while very few works have developed distributed TSPS. Such systems lack on dealing with the EVs crossing issues while maintaining a fluid state of the traffic. In the literature, the Longest Queue First-Maximal Weight Matching (LQF-MWM) is proved to guarantee a stable TSCS. Recently, the LQF-MWM technique is increasingly used to benchmarck and assess adaptive TSCS. Moreover, the preemption is one of the most effective techniques used to prioritise the crossing of EVs. This paper is the first to rely on LQF-MWM assumptions, preemption technique, and Multi-Agent Systems to design a distributed TSPS. The suggested system has two main purposes, which are the guidance of EVs and the control of traffic signals. Nine agents are implemented to govern a network of nine intersections, where each agent uses the Multi Agent System based Preemptive Longest Queue First-Maximal Weight Matching. We have referred to VISSIM traffic simulation software for benchmarking and analysis. To assess the suggested system, we have developed a distributed and preemptive version of VISSIM Optimized Stage-Based Fixed-Time algorithm. Python is considered to develop the suggested systems, and Spade platform is considered as agents' platform. Several Key Performance Indicators are considered to assess the performance of all controllers including delay time, travel time, vehicles queue occupancy, number of stops, distance traversed, and speed. Experimental results show a competitive performance of the developed system to maintain a fluid traffic and guide efficiency EVs.

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Section: An Overview On Traffic Signals Control and Priority Systemsmentioning

confidence: 99%

Multi-agent preemptive longest queue first system to manage the crossing of emergency vehicles at interrupted intersections

Louati

Elkosantini

Darmoul³

et al. 2018

Eur. Transp. Res. Rev.

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“…According to [13] In [28] the authors introduced on semantic web technologies in interoperability with IoT as a comprehensive solution. In [8], the authors designed an application for the Emergency Planning Department of the Essex County Council (ECC).…”

Section: Related Workmentioning

confidence: 99%

Enhanced OWL-S Semantic Web Services for Traffic Management System Utilizing Internet of Things

Sawad¹,

Zafar²,

Ouni³

2018

IJCA

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IoT is a distributed physical network could support in various services, such as communications integration, control and information-processing via numerous transportation systems. It is an application extends to all aspects of transportation systems such as the vehicle, the infrastructure, and the driver or user. In this paper, we approach integration of Intelligent Traffic Management Systems and IoT from semantic service viewpoint. We create the architecture system of web services based on OWLS in IoT environment and describe the composition web service based on IoT. We have extended this web services to real-time extensions that can describe the application related to real-time management of the vehicle traffics. To validate our system, we proposed case study for Ambulance Vehicle. This case of study shows the use of the timing and extended real-time features for web service description and the related process ontology generated for OWLS technology.

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“…In light of this, the International Organization for Standardization (ISO) Technical Committee (TC 204) has recently worked on an SOA for the realization of interoperable ITS [ 10 ], and a large amount of research demonstrating its importance has been performed. Research such as [ 11 – 13 ] has focused on improving the ITS architecture management by using the SOA paradigm to resolve the interoperability problems, messages, and entities modeled among ITS components.…”

Section: Related Workmentioning

confidence: 99%

SOA-Based Model for Value-Added ITS Services Delivery

Herrera-Quintero

Pérez

Marcos-Jorquera

et al. 2014

The Scientific World Journal

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Integration is currently a key factor in intelligent transportation systems (ITS), especially because of the ever increasing service demands originating from the ITS industry and ITS users. The current ITS landscape is made up of multiple technologies that are tightly coupled, and its interoperability is extremely low, which limits ITS services generation. Given this fact, novel information technologies (IT) based on the service-oriented architecture (SOA) paradigm have begun to introduce new ways to address this problem. The SOA paradigm allows the construction of loosely coupled distributed systems that can help to integrate the heterogeneous systems that are part of ITS. In this paper, we focus on developing an SOA-based model for integrating information technologies (IT) into ITS to achieve ITS service delivery. To develop our model, the ITS technologies and services involved were identified, catalogued, and decoupled. In doing so, we applied our SOA-based model to integrate all of the ITS technologies and services, ranging from the lowest-level technical components, such as roadside unit as a service (RSUAAS), to the most abstract ITS services that will be offered to ITS users (value-added services). To validate our model, a functionality case study that included all of the components of our model was designed.

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An NTCIP-based Semantic ITS Middleware for Emergency Vehicle Preemption

Cited by 11 publications

References 15 publications

Multi-agent preemptive longest queue first system to manage the crossing of emergency vehicles at interrupted intersections

Multi-agent preemptive longest queue first system to manage the crossing of emergency vehicles at interrupted intersections

Enhanced OWL-S Semantic Web Services for Traffic Management System Utilizing Internet of Things

SOA-Based Model for Value-Added ITS Services Delivery

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