Stability of CACC-manual heterogeneous vehicular flow with partial CACC performance degrading

Wang, Hao; Qin, Yanyan; Wang, Wei; Chen, Jun

doi:10.1080/21680566.2018.1517058

Cited by 57 publications

(39 citation statements)

References 48 publications

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“…The negative effect of ACC on the system capacity is due to the higher time gap of ACC (S. C. Calvert and van Lint, 2017). Wang et al (2019a) investigated the degradation of CACC in mixed traffic and the resulting flow stability. They found that the degraded CACC vehicles, based on current technical maturity, contributed negatively to the stability of the heterogeneous flow.…”

Section: Relevant Researchmentioning

confidence: 99%

“…Being one of the most-studied applications of the connected and automated vehicle (CAV) technology, CACC is expected to drastically increase mobility and decrease emissions, while providing a safer and more convenient way for vehicle occupants. Studying CACC under mixed traffic conditions in anticipation of its near-term deployment has gained a significant amount of attention (Amirgholy et al, 2020;Ghiasi et al, 2019;Saha et al, 2019;Wang et al, 2019a;Zhao et al, 2018). The near-term deployment of CACC likely entails the following conditions: i) relatively low CACC market penetration (e.g., less than 40%), ii) the substantial presence of non-equipped vehicle without communication capability (i.e., human-driven vehicles (HVs)), iii) legacy roadway infrastructure that is not optimized for CACC operation (e.g., mixed-use travel lane, lack of roadside units).…”

Section: Introductionmentioning

confidence: 99%

“…Local coordination allows CAV vehicles within a certain distance to form a string of CAVs (or vehicular platoon). Such a strategy is appealing to minimize CACC degradation (Wang et al, 2019a), where a CAV operates under ACC mode.…”

Section: Introductionmentioning

confidence: 99%

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Influence of CAV clustering strategies on mixed traffic flow characteristics: An analysis of vehicle trajectory data

Zhong

Lee

Nejad

et al. 2020

Transportation Research Part C: Emerging Technologies

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Being one of the most promising applications enabled by connected and automated vehicles (CAV) technology, Cooperative Adaptive Cruise Control (CACC) is expected to be deployed in the near term on public roads. Thus far, the majority of the CACC studies have been focusing on the overall network performance with limited insights on the potential impacts of CAVs on human-driven vehicles (HVs). This paper aims to quantify such impacts by studying the high-resolution vehicle trajectory data that are obtained from microscopic simulation. Two platoon clustering strategies for CACC-an ad hoc coordination strategy and a local coordination strategy-are implemented. Results show that the local coordination outperforms the ad hoc coordination across all tested market penetration rates (MPRs) in terms of network throughput and productivity. According to the two-sample Kolmogorov-Smirnov test, however, the distributions of the hard braking events (as a potential safety impact) for HVs change significantly under local coordination strategy. For both of the clustering strategy, CAVs increase the average lane change frequency for HVs. The break-even point for average lane change frequency between the two strategies is observed at 30% MPR, which decreases from 5.42 to 5.38 per vehicle. The average lane change frequency following a monotonically increasing pattern in response to MPR, and it reaches the highest 5.48 per vehicle at 40% MPR. Lastly, the interaction state of the car-following model for HVs is analyzed. It is revealed that the composition of the interaction state could be influenced by CAVs as well. One of the apparent trends is that the time spent on approaching state declines with the increasing presence of CAVs.

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Section: Relevant Researchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Influence of CAV clustering strategies on mixed traffic flow characteristics: An analysis of vehicle trajectory data

Zhong

Lee

Nejad

et al. 2020

Transportation Research Part C: Emerging Technologies

View full text Add to dashboard Cite

show abstract

“…Specifically, at the initial time, all vehicles of the platoon travel at equilibrium velocity 10m/s. Then the leading vehicle decelerates its velocity with the deceleration -0.5m/s 2 for 2s to maintain a new constant velocity until the end of simulations [48]. Then we evaluate the time history of vehicle velocities for the string stability analysis.…”

Section: A Simulations Under Open Boundary Conditionmentioning

confidence: 99%

String Stability Analysis of Mixed CACC Vehicular Flow With Vehicle-to-Vehicle Communication

Qin

Liu

2020

IEEE Access

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This paper focuses on traffic scenarios randomly mixed with cooperative adaptive cruise control (CACC) vehicles and manual vehicles with vehicle-to-vehicle (V2V) communication. The analytical investigation of string stability of such mixed traffic flow is conducted under different CACC penetration rates. The parametric sensitivity analysis on CACC desired time-gap is also studied. Moreover, numerical simulation is conducted under both open and periodic boundary conditions. Research results indicate that increase of CACC vehicles is helpful for improving the mixed traffic flow string stability. The mixed flow will be stable for all possible velocities if CACC rate reaches to 0.64 when the CACC time-gap is considered as 0.6s. Larger CACC time-gap would have more stable regions in string stability charts with respect to equilibrium velocity and CACC penetration rate. This paper contributes to a new way for analytical investigation of string stability of the mixed CACC traffic flow.

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“…The associate editor coordinating the review of this manuscript and approving it for publication was Yue Cao . cruise control (CACC) system can notably smooth hazardous traffic flow and improve traffic efficiency [4], [11], [13]- [19]. Li et al developed an infrastructure-to-vehicle integrated system that incorporated both ACC and variable speed limit (VSL) to reduce rear-end collision risks on freeways [20].…”

Section: Introductionmentioning

confidence: 99%

Impact Evaluation of Cyber-Attacks on Traffic Flow of Connected and Automated Vehicles

Dong

Wang

et al. 2020

IEEE Access

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Connected and automated vehicles (CAVs) can improve transportation safety and efficiency based on vehicle-to-vehicle (V2V) or vehicle-to-infrastructure (V2I) communications. However, there are potential cyber threats to the communication systems via on-board unit equipped in CAVs and roadside unit. Based on existing traffic flow models, we design an evaluation framework for cyber-attacks on CAVs, and further investigate the impact of proportion of cyber-attacked vehicles, cyber-attack severity, cyber-attack range and traffic demand. Moreover, performance of the transportation system is analysed based on four indicators, including efficiency, safety, emissions and fuel consumption. The numerical simulation results show that with the increase of cyber-attacked vehicles and higher cyber-attack severity, the negative impact on traffic flow gradually becomes notable with lower capacity, higher risk of rear-end collision, more air pollutants and fuel consumption. In addition, it may lead to accidents and inefficient traffic operations if cyber-attacks occur on position rather than speed, and thus the position-attacked traffic system consumes more energy and emits more pollutants. The findings of this study provide useful information for the prediction of future cyber-attacked traffic, comprehensive evaluation of transportation systems, as well as management of automated highway systems from the perspective of network security. INDEX TERMS Cyber-attack, cooperative adaptive cruise control, connected and automated vehicles, safety level.

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Stability of CACC-manual heterogeneous vehicular flow with partial CACC performance degrading

Cited by 57 publications

References 48 publications

Influence of CAV clustering strategies on mixed traffic flow characteristics: An analysis of vehicle trajectory data

Influence of CAV clustering strategies on mixed traffic flow characteristics: An analysis of vehicle trajectory data

String Stability Analysis of Mixed CACC Vehicular Flow With Vehicle-to-Vehicle Communication

Impact Evaluation of Cyber-Attacks on Traffic Flow of Connected and Automated Vehicles

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