Optimal consumed electric energy while sequencing vehicle trips in a personal rapid transit transportation system

Computer Information Systems and Industrial Management

Chaouachi²

2015

Abstract. In this paper, we address the problem of determining the optimal eet size for Personal Rapid Transit system(PRT). In our problem, we consider electric battery and distance constraints which are found in real world application of the PRT system. To tackle this problem, we propose two valid mathematical formulations that are able to nd optimal eet size. Extensive computational experiments show that the edge based formulation performs impressively well, in terms of solution quality and computational time in comparison to the node based formulation.

Section: Computational Resultsmentioning

confidence: 99%

Section: Problem Denitionmentioning

confidence: 99%

“…In this section, we present the problem denition as presented in [3], [15]. Let us consider a network of PRT N that contains…”

Section: Problem Denitionmentioning

confidence: 99%

Section: Mtz-based Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimal Fleet Sizing of Personal Rapid Transit System

Computer Information Systems and Industrial Management

Chaouachi²

2015

Modeling On-demand Transit Transportation System Using an Agent-Based Approach

Lecture Notes in Computer Science

Chaouachi

2015

Part 5: Modelling and OptimizationInternational audienceWe consider the real-time routing of driverless vehicles in an on-demand transit transportation system with time window. Because fast dispatching decisions are required, decentralized decisions system are generally used in these contexts. For that purpose, we introduce a new multi agent-based simulation model where intelligent vehicle agents determine their specific routes and which transportation requests to serve. They interact with passengers, who strive for minimum waiting time. Our approach offers several advantages: it is fast, make it easy for vehicles to determine their specific routes and needs little information for vehicles. We propose also a specific algorithm for the independent vehicles’agent in order to determine their specific routes. Preliminaries computational tests of our multi-agent model and our developed algorithm prove that our approach is very promising

Viability of Implementing Smart Mobility Tool in the Case of Tunis City

Fatnassi

Computer Information Systems and Industrial Management

Chaouachi

2015

Part 5: Modelling and OptimizationInternational audienceNowadays, different changes from the economical, societal and environmental contexts are happen in cities. In fact, cities are generally the best place to endorse and enhance various experience in order to improve the quality of life of its citizens. In this context, the new vision of Smart Mobility fill into this context. The concept of Smart Mobility as a means to enhance the mobility experience of citizen has been gaining increasing importance in the agendas of cities stakeholder. It represents the best balance the economic, environmental and societal aspect of current transportation tools. The implementation of the smart mobility concept in the case of Tunis city is the subject matter of the paper. In fact, we focus on considering the Personal Rapid Transit system as an effective and efficient tool to bring smart mobility experience to Tunis city. This paper also presents and study the viability of implementing PRT in our specific context. An extensive simulation and economic feasibility study is conducted to validate our proposal. Computational results prove the different advantages of our proposal in the studied context