Impact of VANET-based V2X communication using IEEE 802.11p on reducing vehicles traveling time in realistic large scale urban area

Noori, Hamed; Valkama, Mikko

doi:10.1109/iccve.2013.6799873

Cited by 35 publications

(13 citation statements)

References 15 publications

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“…One of wireless communication solution is LPWAN which designed with target long battery lifetime and wide area coverage. LPWAN includes cellular (licensed band) and non-cellular (unlicensed) approaches [15], [16], [17]. NB-IoT and LTE-M are a LPWAN cellular-based communication technology designed with target reduce device cost, higher cell capacity, Low power, and wide range to transmit/receive small amounts of data using lower bandwidth [18], [19], [20] and [21].…”

Section: Related Workmentioning

confidence: 99%

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

Shahgholi

Sheikhahmadi

Khamforoosh

et al. 2020

Preprint

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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.

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Section: Related Workmentioning

confidence: 99%

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

Shahgholi

Sheikhahmadi

Khamforoosh

et al. 2020

Preprint

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“…Thus, intelligent solutions, such as Vehicular Ad Hoc Networks (VANETs) are required to overcome this problem by considering efficient path-planning approach based on real-time exchange of information about traffic conditions. For example, the authors in [4] proposed a new method to dynamically calculate the current traveling time in a street by using RSUs at the start and end of each street. Efficiency of the proposed method is investigated in a realistic large scale city using a network simulator as a VANET scenario by employing SUMO, OMNET++ and Manuscript submitted to IEEE VEINS.…”

Section: Related Workmentioning

confidence: 99%

“…However, the authors dose not reported how vehicles triggers a broadcasts of the calculated travel time when it reaches the end of street. In [4], the authors proposed a realtime path-planning algorithm, which not only improves the overall spatial utilization of a road network but reduces average vehicle travel cost for avoiding vehicles from getting stuck in congestion as well. The proposed algorithm is based on a stochastic Lyapunov optimization technique which is exploited to address the globally optimal path-planning problem.…”

Section: Related Workmentioning

confidence: 99%

Investigating the impact of real-time path planning on reducing vehicles traveling time

Regragui

Moussa

2018

2018 International Conference on Advanced Communication Technologies and Networking (CommNet)

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There has been an increasing interest in the issue of real-time path planning based on the exchange of information about traffic conditions in vehicular ad hoc networks (VANETs). Because of the development in hardware, software, and communication technologies. However, real-time applications are facing several challenges for providing reliable communications (V2V and V2I) due to many effective factors that includes highspeed mobility and sparse vehicle density on the which increase the rate of topology change. In this paper, we first establish a real-time path planning application which utilizes real-time information about traffic conditions for providing shortest paths with minimum travel time on a weighted graph which is extracted from a real map. This application utilizes vehicular ad hoc networks (VANETs) to enable real-time communications among vehicles, roadside units (RSUs), and a central server. Each vehicle can request a shortest-path by sending a simple request packet to the server and waits for a reply. Finally, our path-planning method is implemented and simulated by using Veins framework (with IEEE 802.11 p/WAVE standard). Veins is capable of running OMNET++ and SUMO in parallel. Simulation results confirm that our proposed path-planning approach improves significantly the travel time.

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“…To achieve this goal an optimization-based control algorithm is formulated that uses short range radar and traffic signal information to schedule an optimum velocity trajectory for the vehicle. More extensive discussion about how to find the energy-optimal velocity for a vehicle using V2I and V2V communication in urban traffic networks can be reviewed in the literature [18,19].…”

Section: Introductionmentioning

confidence: 99%

Ecodriving for Reduction of Bus Transit Emission with Vehicle’s Hybrid Dynamic Model

Zheng

Zhang

2015

Mathematical Problems in Engineering

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This paper formulates a global ecodriving optimal control to advise the green driving speed for bus transit to minimize the exhaust emission using Vehicle-to-Infrastructure (V2I) communication. Assuming communication between vehicles and infrastructure (V2I) and knowledge of traffic signal timings and waiting passengers at stations are known, an optimal driving speed is proposed to minimize the total vehicle emissions of the bus route. The dwell time of the bus transit at each station which includes two parts is proposed. A traffic lights timing model is employed as constraints to control the formation of the green wave band. Vehicle specific power (VSP) model is further applied to evaluate the exhaust emission level linked with the speed and acceleration of the bus transit. An approximate sixteen-kilometer traffic network including fourteen intersections and fifteen stations of Beijing bus transit line 1 in Chaoyang District, Beijing, is chosen to investigate the performance of the developed ecodriving approach.

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Impact of VANET-based V2X communication using IEEE 802.11p on reducing vehicles traveling time in realistic large scale urban area

Cited by 35 publications

References 15 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

Investigating the impact of real-time path planning on reducing vehicles traveling time

Ecodriving for Reduction of Bus Transit Emission with Vehicle’s Hybrid Dynamic Model

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