Optimal speed advisory for connected vehicles in arterial roads and the impact on mixed traffic

Wan, Nian‐Feng; Vahidi, Ardalan; Luckow, André

doi:10.1016/j.trc.2016.01.011

Cited by 208 publications

(99 citation statements)

References 28 publications

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“…For example, some typical control schemes for CDS include the cooperative adaptive cruise control (CACC) design (Naus et al, 2010) which adopts the constant time-headway policy with the predecessor-follower information, and the sliding-mode control (Fernandes, 2012) with the leader-follower information. Wan et al (2016) have investigated how connected vehicles can obtain and utilize upcoming traffic signal information to manage their speed in advance in order to reduce fuel consumption and improve ride comfort by reducing idling at red lights. In terms of information content, Xu et al (2014) quantified the impact of communication information structures and contents on the platoon safety.…”

Section: Introductionmentioning

confidence: 99%

Platoon based cooperative driving model with consideration of realistic inter-vehicle communication

Jia

Ngoduy

2016

Transportation Research Part C: Emerging Technologies

233

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Recent developments of information and communication technologies (ICT) have enabled vehicles to timely communicate with each other through wireless technologies, which will form future (intelligent) traffic systems (ITS) consisting of so-called connected vehicles. Cooperative driving with the connected vehicles is regarded as a promising driving pattern to significantly improve transportation efficiency and traffic safety. Nevertheless, unreliable vehicular communications also introduce packet loss and transmission delay when vehicular kinetic information or control commands are disseminated among vehicles, which brings more challenges in the system modelling and optimization. Currently, no data has been yet available for the calibration and validation of a model for ITS, and most research has been only conducted for a theoretical point of view. Along this line, this paper focuses on the (theoretical) development of a more general (microscopic) traffic model which enables the cooperative driving behaviour via a so-called inter-vehicle communication (IVC). To this end, we design a consensus-based controller for the cooperative driving system (CDS) considering (intelligent) traffic flow that consists of many platoons moving together. More specifically, the IEEE 802.11p, the de-facto vehicular networking standard required to support ITS applications, is selected as the IVC protocols of the CDS, in order to investigate how the vehicular communications affect the features of intelligent traffic flow. This study essentially explores the relationship between IVC and cooperative driving, which can be exploited as the reference for the CDS optimization and design.

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Section: Introductionmentioning

confidence: 99%

Platoon based cooperative driving model with consideration of realistic inter-vehicle communication

Jia

Ngoduy

2016

Transportation Research Part C: Emerging Technologies

233

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“…Mostly, the objective of speed advisory systems in arterial streets is minimizing fuel consumption (Kamalanathsharma et al. ; Wan et al., ; Xia et al., ). Wan et al.…”

Section: Introductionmentioning

confidence: 99%

“…Wan et al. () showed that speed advisory systems not only reduce fuel consumption significantly, but also affect the behavior of nonequipped vehicles and harmonize their motion as well. Thus, speed advisory systems contribute to more energy efficiency on roads.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Speed Harmonization in Connected Urban Street Networks

Tajalli

Hajbabaie

2018

Computer aided Civil Eng

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Connected vehicle technology, the Internet of Things, and other advanced communication technologies create possibilities to facilitate the movement of vehicles through transportation networks and reduce their travel time. Harmonizing the speed of vehicles in different network links not only yields a more efficient network capacity utilization, but also regulates the movement of vehicles to achieve a “smoother” flow of traffic. This study develops a mathematical nonlinear formulation for dynamic speed harmonization in urban street networks aiming at improving traffic operations. We have converted the nonlinear problem into a linear program utilizing the fundamental flow–density relationship and developed a model predictive control approach to account for stochastic changes in traffic demand and further improve the efficiency of the developed solution algorithm. Results showed that the algorithm efficiently found dynamic optimal advisory speeds on various network links, and speed harmonization significantly reduced the travel time (up to 5.4%), speed variance (19.8%–29.4%), and the number of stops (8.3%–18.5%), while increasing the average speed (up to 5.9%) and the number of completed trips (up to 4%) in our case study network under all tested demand patterns.

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“…Rapidly exploring Random Tree (RRT) is another method currently used for trajectory planning; some authors as [19] 2 Journal of Advanced Transportation are testing the integration of RRT and visual driver behavior in driving to improve the decision process. The problem is that those methods have been developed to support specific scenarios considering a bunch of specific conditions; sometimes they did not even consider online deployment [20].…”

Section: Introductionmentioning

confidence: 99%

Urban Motion Planning Framework Based on N-Bézier Curves Considering Comfort and Safety

Lattarulo

Gonzalez

Martí

et al. 2018

Journal of Advanced Transportation

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In last decades, great technology advances have been done related to the automotive sector, especially in Advanced Driver Assistance Systems (ADAS) developed to improve mobility in terms of comfort and safety during driving process; hence, automated driving is presented as an evolution of those systems in the present and upcoming years. The aim of this work is to present a complete framework of motion planning for automated vehicles, considering different constraints with parametric curves for lateral and longitudinal planners. Parametric Bézier curves are used as the core approach for trajectory design in intersections, roundabouts, and lane change maneuvers. Additionally, a speed planner algorithm is presented using the same parametric curve approach, considering comfort and safety. A simulation environment is used for testing the planning method in urban conditions. Finally, tests with the real platform in automated mode have been performed showing goods results.

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Optimal speed advisory for connected vehicles in arterial roads and the impact on mixed traffic

Cited by 208 publications

References 28 publications

Platoon based cooperative driving model with consideration of realistic inter-vehicle communication

Platoon based cooperative driving model with consideration of realistic inter-vehicle communication

Dynamic Speed Harmonization in Connected Urban Street Networks

Urban Motion Planning Framework Based on N-Bézier Curves Considering Comfort and Safety

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