Luxembourg SUMO Traffic (LuST) Scenario: Traffic Demand Evaluation

Codecà, Lara; Frank, Raphaël; Faye, Sébastien; Engel, Thomas

doi:10.1109/mits.2017.2666585

Cited by 176 publications

(93 citation statements)

References 22 publications

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“…In these papers, the authors discuss various communication standards and protocols generally used for inter vehicular communication (IVC) interfaces. At last, but not the least the general ideas and concepts detailed in the works of Rakkesh et al [47], Doniec et al [48], Pursula et al [49] and Codeca et al [50] have been the noted inspiration factors for our study. In these papers, the authors present the ideas of how to model the metropolitan traffic scenarios in a simulator environment, define traffic light cycles and phase durations, assign traffic demand, collect the generated output results for analysis, present the results in graphical representations, etc.…”

Section: Analysis and Discussion Of Resultsmentioning

confidence: 80%

Equipoising multi-modal traffic environments using vehicular ad-hoc networks

Rakkesh

Weerasinghe

Ranasinghe

2018

Int J on Adv. in ICT for Emerging Countries

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Section: Analysis and Discussion Of Resultsmentioning

confidence: 80%

Equipoising multi-modal traffic environments using vehicular ad-hoc networks

Rakkesh

Weerasinghe

Ranasinghe

2018

Int J on Adv. in ICT for Emerging Countries

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“…The simulation is done with the Luxembourg SUMO Traffic (LuST) scenario [41], where Luxembourg city map has been used and traffic demand has been generated and calibrated with realistic demographic traffic data. The simulated route is from the hospital (marked with H) to accident site (market with X) in the city center as shown in Figure 7.…”

Section: Simulation Resultsmentioning

confidence: 99%

Every Second Counts: Integrating Edge Computing and Service Oriented Architecture for Automatic Emergency Management

Chen¹,

Englund

2018

Journal of Advanced Transportation

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Emergency management has long been recognized as a social challenge due to the criticality of the response time. In emergency situations such as severe traffic accidents, minimizing the response time, which requires close collaborations between all stakeholders involved and distributed intelligence support, leads to greater survival chance of the injured. However, the current response system is far from efficient, despite the rapid development of information and communication technologies. This paper presents an automated collaboration framework for emergency management that coordinates all stakeholders within the emergency response system and fully automates the rescue process. Applying the concept of multiaccess edge computing architecture, as well as choreography of the service oriented architecture, the system allows seamless coordination between multiple organizations in a distributed way through standard web services. A service choreography is designed to globally model the emergency management process from the time an accident occurs until the rescue is finished. The choreography can be synthesized to generate detailed specification on peer-to-peer interaction logic, and then the specification can be enacted and deployed on cloud infrastructures.

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“…The second and more realistic scenario represents Luxembourg City, a typical mid-size European city with typical characteristics in terms of road topology and mobility patterns. LuST [30,31] is a realistic vehicular traffic scenario that was specifically built and tailored to support the evaluation of vehicular networking protocols and applications. In particular, LuST covers 932 km of roads and an area of 156 km 2 , containing 38 different bus routes with 563 bus stops.…”

Section: Simulation Setupmentioning

confidence: 99%

A multi-hop broadcast wave approach for floating car data collection in vehicular networks

Turcanu

Salvo

Baiocchi

et al. 2020

Vehicular Communications

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Inter-Vehicle Communication (IVC) is bringing connected and cooperative mobility closer to reality. Vehicles today are able to produce huge amounts of information, known in the literature as Floating Car Data (FCD), containing status information gathered from sensing the internal condition of the vehicle and the external environment. Adding networking capabilities to vehicles allows them to share this information among themselves and with the infrastructure. Collecting real-time FCD information from vehicles opens up the possibility of having access to an enormous amount of useful information that can boost the development of innovative services and applications in the domain of Intelligent Transportation System (ITS). In this paper we propose several solutions to efficiently collect real-time FCD information in Dedicated Short-Range Communication (DSRC)-enabled Vehicular Ad Hoc Networks (VANETs). The goal is to improve the efficiency of the FCD collection operation while keeping the impact on the DSRC communication channel as low as possible. We do this by exploiting a slightly modified version of a standardized data dissemination protocol to create a backbone of relaying vehicles that, by following local rules, generate a multi-hop broadcast wave of collected FCD messages. The proposed protocols are evaluated via realistic simulations under different vehicular densities and urban scenarios.

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Luxembourg SUMO Traffic (LuST) Scenario: Traffic Demand Evaluation

Cited by 176 publications

References 22 publications

Equipoising multi-modal traffic environments using vehicular ad-hoc networks

Equipoising multi-modal traffic environments using vehicular ad-hoc networks

Every Second Counts: Integrating Edge Computing and Service Oriented Architecture for Automatic Emergency Management

A multi-hop broadcast wave approach for floating car data collection in vehicular networks

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