Modeling the impact of VANET-enabled traffic lights control on the response time of emergency vehicles in realistic large-scale urban area

Noori, Hamed

doi:10.1109/iccw.2013.6649290

Cited by 28 publications

(14 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…-TLs: referred to a fixed element installed in intersections with connectivity capability and it controls in/out flow of vehicles in intersection with changing traffic signals [35], [36]. We assumed TLs are edge-node and able to process small amount of data with low complexity.…”

Section: System Design and Architecturementioning

confidence: 99%

LPWAN-Based Hybrid Backhaul Communication for Intelligent Transportation Systems: Architecture and Performance Evaluation

Shahgholi

Sheikhahmadi

Khamforoosh

et al. 2021

Preprint

View full text Add to dashboard Cite

Increased number of the vehicles on the streets around the world has led to several problems including traffic congestion, emissions, and huge fuel consumption in many regions. With advances in wireless and traffic technologies, the Intelligent Transportation System (ITS) has been introduced as a viable solution for solving these problems by implementing more efficient use of the current infrastructures. In this paper, the possibility of using cellular-based Low-Power Wide-Area Network (LPWAN) communications, LTE-M and NB-IoT, for ITS applications has been investigated. LTE-M and NB-IoT are designed to provide long range, low power and low cost communication infrastructures and can be a promising option which has the potential to be employed immediately in real systems. In this paper, we have proposed an architecture to employ the LPWAN as a backhaul infrastructure for ITS and to understand the feasibility of the proposed model, two applications with low and high delay requirements have been examined: road traffic monitoring and emergency vehicle management. Then, the performance of using LTE-M and NB-IoT for providing backhaul communication infrastructure has been evaluated in a realistic simulation environment and compared for these two scenarios in terms of end-to-end latency per user. Simulation of Urban MObility (SUMO) has been used for realistic traffic generation and a Python-based program has been developed for evaluation of the communication system. The simulation results demonstrate the feasibility of using LPWAN for ITS backhaul infrastructure mostly in favor of the LTE-M over NB-IoT.management. Then, the performance of using LTE-M and NB-IoT for providing backhaul communication infrastructure has been evaluated in a realistic simulation environment and compared for these two scenarios in terms of end to end delay per user. Simulation of Urban MObility (SUMO) has been used for realistic traffic generation and a Python-based program has been developed. This program has the ability to exchange live data with SUMO for communication performance evaluation. The simulation results demonstrate the feasibility of using LPWAN for ITS backhaul infrastructure mostly in favor of the LTE-M over NB-IoT.

show abstract

Section: System Design and Architecturementioning

confidence: 99%

LPWAN-Based Hybrid Backhaul Communication for Intelligent Transportation Systems: Architecture and Performance Evaluation

Shahgholi

Sheikhahmadi

Khamforoosh

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Each TL controls in/out flow on roads of intersection with changes traffic signals [33], [34]. We assumed TLs are edge-node and able to process small amount of data with low complexity.…”

Section: System Designmentioning

confidence: 99%

LPWAN-Based Hybrid Backhaul Communication for Intelligent Transportation Systems: Architecture and Performance Evaluation

Shahgholi

Sheikhahmadi

Khamforoosh

et al. 2020

Preprint

View full text Add to dashboard Cite

There are more than 1.3 billion vehicles around the world and rapidly growing which causing worldwide challenges such as congestion, huge fuel consumption, and emissions. The solution to these issues could be expansion of infrastructure or making efficient use of the current infrastructure using current technological advances by implementing Intelligent Transportation Systems (ITSs). In this paper, we proposed and explored the possibility of using cellular-based Low-Power Wide-Area Network (LPWAN) communications, LTE-M and Narrowband Internet of Things (NB-IoT), for ITS applications. LTE-M and NB-IoT are designed to provide long-range, low power, and lowcost communication infrastructure and can be a viable promising option for immediate implementation in the real world. In order to understand the feasibility of using LPWAN for ITS, we investigated two applications with low and high delay requirements: road traffic monitoring and emergency vehicle management and preemption. Then, the performance of using LTE-M and NB-IoT for providing backhaul communication infrastructure has been evaluated in a realistic simulation environment and compared for these two scenarios in terms of end to end latency per user. SUMO traffic simulator has been used for realistic traffic generation and a Python-based program with the ability to live data exchange with SUMO has been developed for communication performance evaluations. The simulation results demonstrate the feasibility of using LPWAN for ITS backhaul infrastructure where it was in favor of the LTE-M over NB-IoT.

show abstract

“…Another simple preemption strategy was studied in [11] with application of the WAVE standard (IEEE 802.11p). According to this method the distance between the emergency car and the traffic lights is calculated in discrete time steps.…”

Section: Related Workmentioning

confidence: 99%

“…In the first scenario a priority vehicle sends preemption request to the traffic control unit as it approaches the intersection and the control unit responds immediately by switching traffic lights. This scenario corresponds to the current solutions that utilize the vehicle-to-infrastructure (V2I) communication [11,12]. The new approach with VSN-aided preemption is considered in the second scenario.…”

Section: Introductionmentioning

confidence: 99%

Self-organizing Traffic Signal Control with Prioritization Strategy Aided by Vehicular Sensor Network

Lewandowski¹,

Płaczek²,

Bernaś³

2017

Computer Information Systems and Industrial Management

View full text Add to dashboard Cite

Part 6: Modelling and OptimizationInternational audiencePreemption strategies are necessary for traffic signal control at intersections in a road network to ensure minimum delay of priority vehicles, such as ambulances or police cars. This paper introduces a decentralized algorithm, which extends the self-organizing signal control to provide preemption for the priority vehicles. The introduced algorithm enables effective utilisation of real-time data collected in vehicular sensor network (VSN). Results of simulation experiments show that the proposed approach ensures a quick passage of the priority vehicles and minimizes the negative effect of signal preemption on delays of non-priority vehicles. The new VSN-aided preemption strategy improves performance of the state-of-the-art methods that are based on road-side vehicle detectors and simple vehicle-to-infrastructure communication systems

show abstract

Modeling the impact of VANET-enabled traffic lights control on the response time of emergency vehicles in realistic large-scale urban area

Cited by 28 publications

References 19 publications

LPWAN-Based Hybrid Backhaul Communication for Intelligent Transportation Systems: Architecture and Performance Evaluation

LPWAN-Based Hybrid Backhaul Communication for Intelligent Transportation Systems: Architecture and Performance Evaluation

LPWAN-Based Hybrid Backhaul Communication for Intelligent Transportation Systems: Architecture and Performance Evaluation

Self-organizing Traffic Signal Control with Prioritization Strategy Aided by Vehicular Sensor Network

Contact Info

Product

Resources

About