Simulating deployment of connectivity and automation on the Antwerp ring road

Konstantinos Mattas; Michalis Makridis; Pauliana Hallac; María Alonso Raposo; Christian Thiel; Tomer Toledo; Biagio Ciuffo

Simulating deployment of connectivity and automation on the Antwerp ring road

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Author(s): Konstantinos Mattas^{1, 2} ; Michalis Makridis¹ ; Pauliana Hallac³ ; María Alonso Raposo¹ ; Christian Thiel¹ ; Tomer Toledo³ ; Biagio Ciuffo¹
- Affiliations: 1: Directorate for Energy, Transport and Climate, European Commission – Joint Research Centre , Via E. Fermi, 2749–21027 Ispra (VA) , Italy ;
  2: Department of Civil Engineering, Democritus University of Thrace , Vasilissis Sofias 12, Xanthi 671 00 , Greece ;
  3: Faculty of Civil and Environmental Engineering, Technion – Israel Institute of Technology , Haifa 32000 , Israel
Source: Volume 12, Issue 9, November 2018, p. 1036 – 1044
DOI: 10.1049/iet-its.2018.5287 , Print ISSN 1751-956X, Online ISSN 1751-9578

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)

Received 26/01/2018, Accepted 18/07/2018, Revised 30/05/2018, Published 06/09/2018

As connectivity and automation make their way in to transportation systems, they are expected to have a forceful impact, drastically changing road transportation. The introduction of autonomous vehicles (AVs) and connected autonomous vehicles (CAVs) is expected to advance safety and comfort. But, they can also affect characteristics of road networks, such as capacities, delays and efficiency. To foresee important challenges, reinforce potential benefits and reduce potential disadvantages of this new disruptive technology, its impacts should be well studied and understood before their anticipated introduction. In this paper, a microscopic simulation framework to estimate these impacts is developed. Simulation experiments are conducted for various traffic mixtures of manually driven vehicles, AVs and CAVs, different desired time headways settings and traffic demand levels, to evaluate the sensitivity of the network performance to these factors. The ring road of Antwerp is used for the case study. Thus, the results and conclusions refer to a large real-world network. The consequences of the introduction of AVS and CAVs on traffic flow and pollutant emissions are evaluated. The results show that depending on the demand, AVs introduction can have negative effects on traffic flow, while CAVs may benefit the network performance, depending on their market penetration.

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