Exact Formulation and Comparison Between the User Optimum and System Optimum Solution for Routing Privately Owned Automated Vehicles
Autor: | J. Theresia van Essen, Gonçalo Homem de Almeida Correia |
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Rok vydání: | 2019 |
Předmět: |
050210 logistics & transportation
Focus (computing) Mathematical optimization Computer science business.industry value of travel time Mechanical Engineering 05 social sciences Autonomous vehicles Automation integer linear programming Computer Science Applications Travel time Traffic congestion routing Public transport 0502 economics and business Automotive Engineering TRIPS architecture Routing (electronic design automation) business user and system optimum |
Zdroj: | IEEE Transactions on Intelligent Transportation Systems, 20(12) |
ISSN: | 1558-0016 1524-9050 |
Popis: | The possibility of having driverless cars on the streets seems to be more real than ever. In this paper, we focus on developing exact methods that can determine the effects of privately owned automated vehicles (AVs) and how switching to those vehicles is going to change mobility in urban environments. The considered problem determines the routes of family owned AVs that minimize the transportation costs of that family while considering the possibility of using public transport as an alternative for some trips. We introduce a novel exact linear formulation for this problem which includes a linearized traffic congestion model and which is able to solve the user and system optimum variant of the problem to optimality. The introduced formulation can easily be adapted to consider the current situation with conventional vehicles and a situation where not only the travel time costs of the driver but also costs of the other passengers are taken into account. The main advantage of our novel formulation is that the optimal results can be obtained to explore potential changes of flows with vehicle automation in small networks. We investigated the behavior of the system, given the described scenarios, by applying our formulation to a case study. |
Databáze: | OpenAIRE |
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