98 research outputs found
To put an end to car dependence - Final report of the scoping review of the literature on the modal shift from the car to alternative modes 2010-2020
This research answers the following question: what are the main modal shift strategies discussed in the literature of the last 10 years? It also undertakes to analyze the impacts of each of the strategies present in the literature. It presents a scoping review of the literature aiming to draw an up-to-date portrait of the abundant literature on modal shift in order to synthesize it and present it in an organized manner and draw conclusions for future research and transport and development policies aimed at reducing automobile dependence and inducing a modal shift from the automobile to alternative modes of transport. We reviewed 2,872 studies published between 2010 and 2020 and retained 108 that we analyzed in detail. More than two thirds of studies report positive results of modal shift from the car towards alternative mobility. This leads us to believe that it is possible to implement public policies to facilitate modal shift and thus help reduce car dependence. A large majority of research on public transport reports positive examples. However, for studies on active transportation, we note that almost all of the research (92%) reports successes. By paying attention to the degree of coercion of the interventions investigated in the literature, we see that the âcarrotâ measures which seek to induce the modal shift by offering a benefit are more successful than the âstickâ type measures which aim to restrict certain choices (pricing, tolls, reduction of parking spaces). However, research on the âcarrot and stickâ combination approach reports the most positive results. This leads us to conclude that research on this type of intervention should continue to be developed, even encouraged, and to suggest that public decision-makers take into account the beneficial effects for modal shift resulting from the combination of the two types of interventions simultaneously âcarrot and stickâ
An improved resource reservation protocol
The classical resource reservation protocol (RSVP) is a flow-based signaling protocol used
for reserving resources in the network for a given session. RSVP maintains state information for each
reservation at every router along the path. Even though this protocol is very popular, he has some
weaknesses. Indeed, RSVP does not include a bidirectional reservation process and it requires refresh
messages to maintain the soft states in the routers for each session. In this paper, we propose a senderoriented
version of RSVP that can reserve the resources in both directions with only one message, thus
reducing the delay for establishing the reservations. We also suggest a refreshment mechanism without
any refresh message which could be applied to any soft states protocol. Simulation results show that
the proposed protocol is approximately twice faster than RSVPv2 for establishing bidirectional
reservations with almost no control overhead during the session
A centralized and dynamic network congestion classification approach for heterogeneous vehicular networks
ABSTRACT: Network congestion-related studies consist mainly of two parts: congestion detection and congestion control. Several researchers have proposed different mechanisms to control congestion and used channel loads or other factors to detect congestion. However, the number of studies concerning congestion detection and going beyond into congestion prediction is low. On this basis, we decide to propose a method for congestion prediction using supervised machine learning. In this paper, we propose a Naive Bayesian network congestion warning classification method for Heterogeneous Vehicular Networks (HetVNETs) using simulated data that can be locally applied in a fog device in a HetVNET. In addition, we propose a centralized and dynamic cloud-fog-based architecture for HetVNET. The Naive Bayesian network congestion warning classification method can be applied in this architecture. Support Vector Machine (SVM), K Nearest Neighbor (KNN) and Random Forest classifiers, which are popular methods in classification problems, are considered to generate congestion warning prediction models. Numerical results show that the proposed Naive Bayesian classifier is more reliable and stable and can accurately predict the data flow warning state in HetVNET. Moreover, based on the obtained simulation results, applying the proposed congestion classification approach can improve the networkâs performance in terms of the packet loss ratio, average delay and average throughput, especially in the dense vehicular environments of HetVNET
A network management framework using mobile agents
Network management of heterogeneous networks is still hard to achieve automatically and efficiently. In this study, we present a framework that has the ability to perform network management tasks on heterogeneous networks using mobile agents. This framework handles the inability of many network devices to run mobile agents. While the main focus of the project is the framework, we present an example of mobile agents that are able to locate a fixed set of network failures and detect the possible causes accurately. Experimental results show that some network management tasks can be more easily executed by mobile agents. In particular, search and diagnostic mobile agents are able to find more precisely a cause of a network failure by finding alternate paths to gather more data about the failure
Pour en finir avec la dĂ©pendance automobile : rapport final de lâĂ©tude de la portĂ©e de la littĂ©rature sur le transfert modal de la voiture aux modes alternatifs 2010-2020
Cette recherche répond à la question suivante : quelles sont les principales stratégies de transfert
modal discutĂ©es dans la littĂ©rature des 10 derniĂšres annĂ©es. Elle entreprend aussi dâanalyser les
impacts de chacune des stratégies présentes dans littérature. Elle présente une étude de la portée
de la littĂ©rature visant Ă dresser un portrait Ă jour de lâabondante littĂ©rature sur le transfert modal
afin de la synthĂ©tiser et de la prĂ©senter de façon organisĂ©e et dâen tirer des constats pour la
recherche future et les politiques de transport et dâamĂ©nagement visant Ă rĂ©duire la dĂ©pendance
automobile et Ă induire un transfert modal de lâautomobile vers les modes de transports
alternatifs. Nous avons révisé 2872 études publiées entre 2010-2020 et en avons retenu 108 que
nous avons analysées en détail.
Plus de deux tiers des études rapportent des résultats positifs de transfert modal de la voiture au
profit des mobilitĂ©s alternatives. Ce qui nous porte Ă croire quâil est possible de mettre en place
des politiques publiques afin de faciliter le transfert modal et dâainsi contribuer Ă rĂ©duire la
dĂ©pendance Ă lâautomobile. Parmi les recherches portant sur les transports en commun, une
grande majorité rapporte des exemples positifs. Cependant, du cÎté des études portant sur le
transport actif, nous notons que la presque totalité des recherches (92 %) rapporte des succÚs. En
portant attention au degrĂ© de coercition des interventions enquĂȘtĂ©es dans la littĂ©rature, on
constate que les mesures « carotte » qui cherchent à induire le transfert modal en offrant un
bénéfice ont plus de succÚs que les mesures de type « bùton » qui visent à restreindre certains
choix (tarification, péage, diminution des espaces de stationnement). Cependant, les recherches
portant sur la combinaison « carotte et bùton » rapportent les résultats les plus positifs. Ceci nous
amĂšne Ă conclure que la recherche sur ce type dâintervention devrait continuer Ă ĂȘtre dĂ©veloppĂ©e,
voire encouragée, et à suggérer aux décideurs publics de tenir compte des effets bénéfiques pour
le transfert modal provenant de la combinaison des deux types dâinterventions simultanĂ©ment
« carotte et bùton »
Revue d'histoire du Bas-Saint-Laurent, vol. 12 (3-4)
Mot de l'Ă©diteur -- Au micro de CJBR -- La grande histoire de CJBR -- Jules-A. Brillant et le poste CJBR -- Avec CJBR, un bon en avant pour le Bas St-Laurent -- CJBR, l'Ă©cole -- L'annonceur: un Ă©ducateur populaire -- Sandy Burgess : le journaliste que j'ai connu -- "Ce pays qui est le mien" -- Un demi-siĂšcle d'information: que de nouvelles! -- Journaliste de pĂšre en fils Ă CJBR -- Le thĂ©Ăątre Ă CJBR -- 50 ans de musique Ă CJBR, le chĂąteau fort de la mĂ©lodie française -- PoĂ©sie, thĂ©Ăątre, jazz et originalitĂ© avec Michel Garneau -- Les "Chroniques du dimanche", l'Ăąge d'or de la critique culturelle Ă CJBR -- "Si CJBR m'Ă©tait contĂ©..." -- L'Ă©volution technologique, un Ă©lĂ©ment-clef de l'histoire des 50 ans de radiodiffusion -- La publicitĂ© Ă CJBR, quarante ans de croissance -- Des pionniĂšres Ă CJBR -- 1958-1972, des annĂ©es enrichissantes -- De Trois-Pistoles Ă Rimouski -- Le sport et son enracinement dans le milieu rĂ©gional -- "Debout c'est l'heure", c'est Jean Brisson qui sonne le rĂ©veil -- "Par une belle journĂ©e de tempĂȘte" -- Et on repart vers la centain
Le FORUM, Vol. 34 No. 2
https://digitalcommons.library.umaine.edu/francoamericain_forum/1026/thumbnail.jp
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