Multi constrained Route Optimization for Electric Vehicles using SimE

Siddiqi, Umair F.; Shiraishi, Yasuyuki; Sait, Sadiq M.

doi:10.1109/socpar.2011.6089273

Cited by 12 publications

(7 citation statements)

References 13 publications

(14 reference statements)

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“…A different approach for routing EV's to the CS is presented in [44], where a genetic algorithm is used for multi-constrains optimization problem and using graph theory for representing the city map. Also, some approaches have been tested in simulation.…”

Section: A Multi-agent Approach To Support Ev Servicesmentioning

confidence: 99%

“…Similarly, the use of graph theory for representing the road infrastructure is documented in [44]. In the former delegate MAS approach [10], ants are used for finding the best solution; while in the latter, genetic algorithms provide the meta-heuristic to search for the solutions.…”

Section: The Vehicle Routing Problemmentioning

confidence: 99%

“…CBR is a well-known technique to learn from the experience [22,23], which has been successfully applied in many fields [44,50], varying from traffic management systems [20], finances [1], medicine [2,3,30], food industry [40], or building construction [28,45,51]. CBR and multi-agent system have been reported in the literature [5].…”

Section: The Cbr Route Management Systemmentioning

confidence: 99%

See 2 more Smart Citations

An intelligent route management system for electric vehicle charging

Sedano

Chira

Villar

et al. 2013

ICA

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Electric Vehicles (EV) represent a completely open new field full of promising opportunities that are nowadays arising; one of the most challenging is the driver support for charging stations (CS). The usage of EVs in the city requires specific infrastructures and computational support to ensure an efficient and correct deployment. Consequently, new services are required to fulfil with the EV needs that will arise: e.g. booking a service in a CS, selecting the most appropriate CS in relation to current EV location, booking a CS, or finding the best route to the CS. All the support services should consider not only the user preferences but also the best route restrictions, which are related with minimum energy requirements and avoiding the EV running out of energy before reaching the CS. In this study, a Case Based Reasoning decision support system considering the EV's restrictions in routing to CS is proposed and developed to validate the need of service enhancement. Furthermore, a multi-agent approach to deal with these services is described: agents should interact based on the traffic and energy information -e.g., their states, the current and destination locations, traffic data and events. All these studies are embedded in a more ambitious project to provide EV infrastructures in Spain. Computational experiments performed for real-data study cases using the proposed CBR system compared to traditional routing methods confirm the need to develop dedicated models and consider EV's features and restrictions in designing supporting algorithms.

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Section: A Multi-agent Approach To Support Ev Servicesmentioning

confidence: 99%

Section: The Vehicle Routing Problemmentioning

confidence: 99%

Section: The Cbr Route Management Systemmentioning

confidence: 99%

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An intelligent route management system for electric vehicle charging

Sedano

Chira

Villar

et al. 2013

ICA

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“…Moreover, according to Sitanayah et al (2012), centrality is used for routing and load balancing in the WSN field. Siddiqi et al (2011) presented that route optimization is another important feature of WSNs. Route optimization is used for finding the optimum paths from the source node to the base station or the sink node that respect given constraints.…”

Section: Introductionmentioning

confidence: 99%

Operator calculus approach for route optimizing and enhancing wireless sensor network

Syarif

Abouaïssa

Lorenz

2017

Journal of Network and Computer Applications

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Route optimization is one of important feature in wireless sensor networks in order to enhancing the life time of WSNs. Since Centrality is one of the greatest challenges in computing and estimating the important node metrics of a structural graph, it is necessary to calculate and determine the importance of a node in a network. This paper proposes an alternative way to optimizing the route problems which is based on multi-constrained optimal path (MCOP) and operator calculus approach. A novel routing protocol called Path Operator Calculus Centrality (POCC) is proposed as a new method to determine the main path which contains high centrality nodes in a wireless sensor network deployment. The estimation of centrality is using the operator calculus approach based on network topology which provides optimal paths for each source node to base station. Some constraints such as energy level and bit error rate (BER) of node are considered to define the path centrality in this approach. The simulation evaluation shows improved performance in terms of energy consumption and network lifetime.

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“…In addition, it takes approximately 30 minutes for full charge even in the case of quick-charging. Thus, it is necessary for the long-distance run of EVs to charge battery on the way, and so the optimal route planning methods with the optimal charging point and the minimum charge quantity have been intensively studied [2], [3], [4], [5], [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Incentive-Based Multi-objective Fractional Optimization for EV Navigation System with Successive Update

Maeda

Hayakawa

Imura

et al. 2015

2015 IEEE 18th International Conference on Intelligent Transportation Systems

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An EV navigation system for drivers to choose one of the route candidates depending on the drivers' preference is developed. The approach is incentive based and the route candidates are obtained through multi-objective optimization. The navigation system computes the optimal routes under the varying traffic conditions and successively checks if the selected route is relevant. In the case where the projective route is forced to change in the middle of traveling, the way of calculating the amount of partial incentive is proposed for the segments passed by.

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Multi constrained Route Optimization for Electric Vehicles using SimE

Cited by 12 publications

References 13 publications

An intelligent route management system for electric vehicle charging

An intelligent route management system for electric vehicle charging

Operator calculus approach for route optimizing and enhancing wireless sensor network

Incentive-Based Multi-objective Fractional Optimization for EV Navigation System with Successive Update

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