Abstract
The fact that real-time autonomous vehicle (AV) traffic volume can be collected without a field detector by virtue of advanced global positioning system (GPS) and wireless communication technologies can render a promising solution to online monitoring of traffic volume in the upcoming AV era. To demonstrate this opportunity, this paper proposes a new method to monitor real-time motorway traffic volumes for road locations where no detector is installed using AV traffic volume. The modeling concept is based on the obvious fact that AV traffic volume is a direct portion of total traffic volume. The capabilities of the method are demonstrated through an experimental study using real-world GPS-enabled smartphone vehicle navigation data. The results show that online motorway traffic volume can be effectively monitored throughout the day with 5.69% average error at the 14.91% penetration rate of AVs during the daytime. Therefore, it is expected that AVs can at least be used as complementary means for the role of vehicle detectors in the near future due to the fact that the detection range of AVs is not spatially constrained.
Highlights
Real-time traffic volume is essential for traffic control and management in intelligent transportation systems (ITS)
The variation of weight value according to the proximity of time is illustrated in Figure 2(a), which can be efficaciously used in the case that the penetration rate of autonomous vehicle (AV) varies according to the time periods of day
In order to demonstrate the potential of global positioning system (GPS) probe data collected by autonomous vehicles, a case study was conducted using two types of data: GPS probe volume data and traffic volume data
Summary
Real-time traffic volume is essential for traffic control and management in intelligent transportation systems (ITS). The spatially consecutive and dense deployment of vehicle detectors is utilized for the instant and accurate monitoring of the variables due to the fact that the spatial coverage of current detectors ranging from conventional inductive loop to radar sensing is constrained to fixed point or fixed short length This surveillance strategy requires extensive budgets and resources in order to guarantee the reliability of monitored information. Vehicle detectors are operated without the change of their locations in many cases after they are installed in the field To address these obstacles from the perspective of ITS infrastructure management and the constrained spatial coverage of vehicle detectors, several investigations to produce the three traffic variables for unmeasured points or road sections using advanced data have been introduced in our literature review.
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