Centralized simulated annealing for alleviating vehicular congestion in smart cities

Abstract

This is a repository copy of Centralized simulated annealing for alleviating vehicular congestion in smart cities.

Understanding Smart Cities: Innovation ecosystems, technological advancements, and societal challenges

“…The remaining papers (i.e. nineteen) can be grouped into four clusters labeled as follows: business models for smart cities (Abbate et al, 2018;Brock et al, 2018;Schiavone et al, 2018;Van den Buuse and Kolk, 2018); applications to tackle specific smart cities challenges (Amer et al, 2018;Grimaldi et al, 2018;Hopkins and McKay, 2018;Lex et al, 2018;Moustaka et al, 2018;Tanguy and Kumar, 2018); actions and roles of stakeholders of the smart cities triple/quadruple helix (Ardito et al, 2018;Corsini et al, 2018;Dupont et al, 2018;Engelbert et al, 2018;Lindkvist et al, 2018;Van der Graaf and Ballon, 2018); policies for smart cities (Caragliu and Del Bo, 2018;Contreras and Platania, 2018;Hamidi et al, 2018). Concerning the first cluster -business models for smart cities - Abbate et al (2018) explore the activities and strategic goals of twentyone small and medium enterprises (SMEs) operating in eight different European countries that took part to FrontierCities, one of the nine FIWARE (Future Internet-ware) Accelerators focused on smart cities.…”

“…Evidence from firm-specific programs like IBM's Smarter Cities, Cisco's Smart+Connected Communities, and Accenture's Intelligent Cities, shows that both non-locationbound firms specific advantages (e.g., building resources and capabilities in management from heterogeneous urban contexts, building a position as international smart city technology supplier in a potential growth market, exploring complementarities between existing resources and capabilities in ICT and urban domains, among others) and location-bound firms specific advantages (e.g., building relationships with city governments in prime cities for the spread of smart cities technologies, building expert knowledge of specific urban system and infrastructures in a local context, gaining access to local knowledge clusters and urban stakeholders in a local context) are relevant components of the three MNEs' business models. In the second clusterapplications to tackle specific smart cities challenges - Amer et al (2018) introduce a new method in order to alleviate vehicular traffic congestion in smart cities. This method is a centralized dynamic multi-objective optimization algorithm based on vehicular ad hoc networks (VANETs); it integrates a centralized simulated annealing (CSA) algorithm with the VIKOR method as a cost function.…”

The Role of 5G Technologies: Challenges in Smart Cities and Intelligent Transportation Systems

“…This information is computed from data provided by vehicles in the vicinity, road infrastructure or traffic management centers. More useful data will be collected with the 5G thanks to the IoT and big data, allowing for the provision of more value added services, complementing the navigation as shown in [43][44][45]. A driver will receive notifications with personalized information about interest points (e.g., tourist attractions, restaurants, parking places, gas stations, among others) as illustrated in Figure 5.…”

A Performance Review of Collision-Free Path Planning Algorithms

“…SA based algorithms have also been applied in CFPP problems to solve vehicle congestion in smart cities. [91]. Papers that are based on SA, which are cited above, are organized in Table 5.…”