Abstract
Driving assistance systems such as Adaptive Cruise Control (ACC) and automated vehicles can contribute to mitigate traffic congestion, accidents, and levels of emissions. Automated vehicles may increase roadway capacity, improve traffic flow stability, and speed up the outflow from a queue (1). The functionalities of automated systems have been gradually introduced into the market, such as in the case of Adaptive Cruise Control (ACC). The ACC assists drivers in maintaining a desired speed and time headway, therefore influencing substantially the performance of the driving task. On-road studies have shown potential safety benefits of ACC systems that are inactive at low speeds when they are activated (2-5). In certain traffic situations, drivers may prefer to disengage ACC and resume manual control (6). These transitions between automation and manual driving are called control transitions (7) and may influence considerably traffic flow efficiency (8) and safety (9). Recently, full-range ACC systems that can operate in dense traffic have been introduced into the market. These ACC systems are more likely to be active in dense traffic conditions and have a positive impact on traffic flow efficiency
Original language | English |
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Title of host publication | Transportation Research Board Conference Proceedings 2018 |
Publisher | Transportation Research Board (TRB) |
Number of pages | 7 |
Publication status | Published - 2018 |
Event | 97th Annual Meeting of the Transportation Research Board (TRB) - Walter E. Washington Convention Center, Washington D.C., United States Duration: 7 Jan 2018 → 11 Jan 2018 Conference number: 97 |
Conference
Conference | 97th Annual Meeting of the Transportation Research Board (TRB) |
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Abbreviated title | TRB 2018 |
Country/Territory | United States |
City | Washington D.C. |
Period | 7/01/18 → 11/01/18 |