Abstract

Connected and automated vehicles (CAVs) promise to significantly improve road traffic. To a certain extent, this situation is similar to the expectations at the end of the last century about the positive effects that the introduction of Adaptive Cruise Control (ACC) systems would have had on motorway traffic. The parallelism is interesting because ACC equipped vehicles represent the first level of vehicle automation and are now widely available on the market. In this light, studying ACC impacts can help to anticipate potential problems related to its widespread application and to avoid that AVs and CAVs will lead to the same problems.Only a few test-campaigns had been carried out studying the ACC impacts under real-world driving conditions in quantitative terms. To bridge this gap, the Joint Research Centre of the European Commission has organized a number of experimental campaigns involving several ACC-equipped vehicles to study different implications of their widespread. In this context, the present paper summarizes the outcomes of a test campaign involving 10 commercially available ACC-equipped vehicles. The test campaign has been executed in two different test-tracks of the ZalaZONE proving ground, in Hungary. The tests have been carried out at low-speeds (30–60 km/h) and have involved platoons of vehicles of different brands and different powertrains, which were tested in a variety of vehicle orders and with different settings of their ACC systems. Test results have been used to derive information about the properties of the different ACC systems, to study their string stability, to study the effect of ACC systems on traffic flow, and to draw inference about the possible implications on energy consumption and traffic safety.Results confirm the previous findings in terms of string instability of the ACC and highlight that in the present form, ACC systems will possibly lead to higher energy consumption and introduce new safety risks when their penetration in the fleet increases. However, they also highlight that the materialization of the above findings for AVs depends on the operational logic that manufacturers will adopt during the implementation phase. Therefore, results suggest that functional requirements to guarantee string stability and in general to not disrupt the normal flow of traffic should be introduced both for ACC and for any automated system that will be placed on the market in the future.

Highlights

  • Vehicle automation and connectivity are expected to radically transform road transportation in the years to come (Alonso Raposo and (Ed.), 2019)

  • To understand the likelihood that this will happen, the authors of the present paper have studied the effect on traffic flow dynamics and some traffic externalities of one of the precursors of future automated driving systems, the Adaptive Cruise Control (ACC)

  • The market penetration of ACC-equipped vehicles is constantly increasing along with the interest of researchers worldwide to assess their impact in terms of traffic flow and stability, because these vehicles are considered as the first proxy of future Auto­ mated and Autonomous Vehicles (ACC vehicles are classified as level 1 or 2 driving automation according to SAE International, 2018)

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Summary

Introduction

Vehicle automation and connectivity are expected to radically transform road transportation in the years to come (Alonso Raposo and (Ed.), 2019). Many authors have already started to study the potential benefits in increasing road capacity, avoiding traffic string instability, preventing shockwave formation, reducing fuel consumption and emissions as a result of smoother operations, and so on, for different CAVs penetration levels. Most of these studies are based on hypothetical assumptions on the logic governing future vehicles and on the performances of their sensing and communication systems. Car-platoons of ACC systems have been found to reduce frustrating phantom traffic jams (Ford, 2019) and reduce fuel consumption (Zhu et al 2019)

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