Centralized fleet management system for cybernetic transportation

Dynamic Coordination in Fleet Management Systems: Toward Smart Cyber Fleets

“…Prototypes of autonomous vehicles have been designed and tested, with the main challenges related to this new technology currently being studied in countless realistic and complex scenarios (www.cybercars.org). 17 At some point, this poses new challenges to FMSs as they attempt to manage fully autonomous vehicles in a decentralized manner. Based on currently available technologies, we're studying the impact of different types of sensors and driver assistance technologies on fleet management.…”

Modeling of the dynamics and the energy consumption of a fleet of cybercars

“…More specifically, in [6], the problem was studied from a conceptual point of view and a centralized fleet management system was presented. In [11], a new concept of control named open-control was proposed to merge centralized and decentralized control approaches.…”

“…They have high flexibility and reactivity (i.e., they can provide on-demand transportation service for any location at any time) and hence offer better urban mobility than conventional public transportation systems [5]. Besides, in terms of energy consumption, they are even competitive on a per passenger-km basis compared with * public transportation [6]. The European project CyberCars [7] is one of the first projects dedicated to developing such a cybernetic transportation system.…”

Taxis, passengers and stable marriage-stable simultaneous assignment of taxis to passenger booking re-quests

“…The research related to autonomous vehicle scheduling is hidden under occasionally surprising key-words; for example: Shared autonomous vehicles, also known as aTaxis (Zachariah et al, 2014), personal rapid transit (in an open-control framework) (Berger et al, 2011), flexible mobility on demand systems (Atasoy et al, 2015), demand responsive transport services (Diana, 2006), demand responsive transport systems (Deflorio, 2011), taxi on demand (Thomopoulos et al, 2007), driverless public transport pods, mobile location-based services (Silva and Mateus, 2003), taxicab networks (Zhang and He, 2012), unmanned automated vehicles, mobile robots, cyber cars (Awasthi et al, 2011), smart cyber fleets (Billhardt et al, 2014), cybernetic transportation system (Wang et al, 2008), autonomous dial-a-ride transit (Dial, 1995), tele bus or autonomous free-floating carsharing fleets (Firnkorn and Müller, 2014).…”

“…Other more distantly related problems general include pick-up and delivery problem, dynamic (real-time) (fleet) routing problem, paratransit problem, (dynamic) (centralised) fleet management problem / system, cybernetic transportation, one-way car-sharing systems, mobile server applications, robotic load balancing. (Gendreau and Potvin, 1998) (Xin and Ma, 2004) (Awasthi et al, 2011) (Pavone et al, 2012) (Pavone et al, 2012) (Billhardt et al, 2014) Here is at least a summary of most commonly used solutions methods used for vehicle routing problem: (1) exact approaches: branch and bound, branch and cut, (2) constructive heuristics: savings: Clark and Wright, matching-based, multi-route improvement heuristics, (3) two-phase algorithm heuristics: cluster-first, route-second algorithms, the petal algorithm, the sweep algorithm, route-first, cluster-second algorithms and (4) metaheuristics: ant algorithms, deterministic annealing, genetic algorithms, simulated annealing and tabu search. ("Solution Methods for VRP," 2013)…”