2022
DOI: 10.1109/tits.2020.3012678
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Evaluating the Effectiveness of Integrated Connected Automated Vehicle Applications Applied to Freeway Managed Lanes

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Cited by 28 publications
(14 citation statements)
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“…Each agent is equipped with 32-channel LiDAR and has 120 meters data range. We mount sensors on top of each AV while we only deploy infrastructure sensors in the intersection, mid-block, and entrance ramp at the height of 14 feet since these scenarios are typically more congested and challenging [15]. We record LiDAR point clouds at 10 Hz and save the corresponding positional data and timestamp.…”
Section: V2xset: An Open Dataset For V2x Cooperative Perceptionmentioning
confidence: 99%
“…Each agent is equipped with 32-channel LiDAR and has 120 meters data range. We mount sensors on top of each AV while we only deploy infrastructure sensors in the intersection, mid-block, and entrance ramp at the height of 14 feet since these scenarios are typically more congested and challenging [15]. We record LiDAR point clouds at 10 Hz and save the corresponding positional data and timestamp.…”
Section: V2xset: An Open Dataset For V2x Cooperative Perceptionmentioning
confidence: 99%
“…Otherwise, this platoon is linearly string unstable. It should be noted that condition (45) is only applicable for microscopic car-following models that satisfy the following two conditions:…”
Section: Stability Analysismentioning
confidence: 99%
“…The performance of JAD has been investigated numerically and/or theoretically using kinematic [23] and car-following [24][25][26][27][28] models, and experimentally using real vehicles on a circuit [29]. Strategies in this direction has been studied diligently [30][31][32][33][34][35][36][37], and has been also developed as the Lagrangian control of moving bottlenecks [38][39][40][41], and the speed harmonization [42][43][44][45]. Additionally, strategies have been developed which change the car-following performance of automated vehicles (AVs) [46], and connected vehicles (CVs) [47] according to the traffic situation.…”
Section: Introductionmentioning
confidence: 99%
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