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| Ref # | Objectives | Base model(s) | Scenarios |
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| [32] | Develop the ACC and CACC car-following models and estimate their impact. | An error-based control law for the ACC and CACC.
The lane change is under human control. | A 100% market-penetration rate of each vehicle type. |
|
| [29] | Examine the ACC vehicles’ lane-changing effects compared to manual vehicles. | Manual vehicle: Pipes model [47].
ACC model from [48].
Comprehensive Modal Emissions Model (CMEM). | Position of ACC vehicles (2, 4, 6, 8th in the string of 10 vehicles).
Market-penetration rate of ACC (5%, 10%, 15% and 30%). |
|
| [31] | Propose the ACC-based traffic-assistance system intended to improve traffic flow and road capacity. | IDM | Market-penetration rate of ACC (0%, 5%, 15% and 25%). |
|
| [14] | Propose the ACC-based traffic assistance system aimed at improving the traffic flow and road capacity. | IDM | Market-penetration rate of ACC (0%, 5%, 15% and 25%). |
|
| [30] | Propose the new ACC car-following model with its impact analysis | IDM with constant-acceleration
heuristic (CAH). | Market-penetration rate of ACC (10%, 20%, 30%, 40%, and 50%). |
|
| [18] | Propose an analytical framework to estimate the AVs’ impacts on highway sections. | Car-following model for manual vehicles in [49, 50].
First order control law for AVs. | Different combinations of manual vehicles, AVs, and CAVs (0-100 % by 10% gap). |
|
| [19] | Develop an improved cellular automaton as an AV modeling platform. | Cellular Automaton | The lane-changing rules in the same and opposite direction.
Market-penetration rate of ACC (0%, 50%, and 100%). |
|
| [46] | Develop a cooperative IDM (CIDM) to examine the system performance under different proportions of the AVs. | The Full Velocity Difference
Model (FVDM) and IDM. | Market-penetration rate of the AVs (0%, 5%, 15%, and 25%). |
|
| [45] | Propose an acceleration framework to address the limitations of micro-simulation models in capturing the changes in driver behavior in a mixed environment. | MIXIC model for the AV modeling.
IDM for the CAV modeling. | Market-penetration rate of the CAVs and AVs (0%, 20%, 40%, 60%, 80%, and 100%). |
|
| [44] | Develop a micro-simulation framework for CAVs to analyze the impact on fuel consumption and travel time. | Optimal control for CAVs.
Gipps model for manual vehicles [51]. | Two single-lane merging roadways where CAVs communicate to each other. |
|
| [15] | Propose a hardware-in-the-loop (HIL) testing system for the CAV applications. | Hardware-in-the loop (HIL) testing. | Type I: String leader’s smooth acceleration and deceleration between 20-30mph.
Type II: Sharp brakes from 30mph to 10mph and quick recovery to 30mph.
Type A: Perfect communication/radar.
Type B: Compromised communication/radar (radar delay 100ms; radar noise = 0.05; DSRC Latency = 100ms and DSRC Packet Loss =10%). |
|
| | Examine the impact of the CACC vehicles on traffic flow characteristics of a multilane highway. | IDM | Arrival rate scenarios: 7,000v/h (moderate), 8,000v/h (saturated),
9,000v/h (oversaturated), 10,000v/h (oversaturated).
Penetration rates of CACC varied in multiples of 20% (truck is fixed in 10%). |
|
| [52] | Develop a simulation framework to facilitate the heavy-duty vehicle (HDV) platooning and establish the related concept and operations. | Carbon dioxide emission model [53].
The HDM platoon model with the ACC/CACC car-following model. | Average density, average travel time, and average travel speed. |
|
| [17] | Investigate AVs’ impact on traffic performance. | Calibration on car following model (Wiedemann 99).
Lane changing behavior based
on a research project [54]. | Each vehicle type of a 100% market-penetration rate. |
|
| [37] | Extend the CACC modeling framework to incorporate new algorithms describing the interactions between the CACC and manual vehicles in mixed traffic. | The CACC model reported in [55].
The anticipatory lane change (ALC) for lane changing. | Market-penetration rate of the CACC (0%, 20%, 40%, 60%, 80% and 100%). |
|
| [36] | Investigate the impact of the CACC vehicle string operation on the capacity of multilane highway with merging bottlenecks. | The ACC and CACC car-following models developed [33]. | Market-penetration rate of the CACC (0%, 20%, 40%, 60%, 80% and 100%). |
|
| [56] | Propose a new algorithm for the CACC systems for collaborative driving based on the use of agent technology and information sharing. | Effective CACC (ECACC) algorithm consists of speed and distance control algorithms. | Market-penetration rate of the CACC (0%, 20%, 40%, 60%, 80% and 100%). |
|
| [27] | Estimate the effect on highway capacity of varying market-penetrations of vehicles with the ACC and the CACC. | The manual vehicle: NGSIM oversaturated freeway flow model [57].
ACCs: Proprietary to Nissan.
CACCs: Car-following behavior was described [33]. | The ACC and CACC vehicles 10 % increase proportion. |
|
| [21] | Investigate the impact of the CACC on traffic-flow characteristic. | MIXIC model | Market-penetration rate of the CACC (0%, 20%, 40%, 60%, 80% and 100%). |
|
| [58] | Develop the models of both ACC and CACC control systems based on real experimental data. | IDM | Ten consecutive CACC and five consecutive ACC vehicles.
A mixed case, where the two first followers are ACC-equipped and the next seven are CACC-equipped. |
|
| [59] | Estimate the emissions and energy use (i.e., fuel consumption) associated with an Automated Highway System (AHS) using advanced simulation modeling tools. | Smart AHS framework developed at PATH program. | Congestion levels (LOS A - F). |
|
| [60] | Analyze roundabout safety level in the circumstances where different numbers of the AVs are mixed with manual vehicles. | Safety impact: Surrogate Safety Assessment Model (SSAM).
Manual vehicles: Wiedemann 74.
AVs: VISSIM parameter adjustment. | Market-penetration rate of the AVs (0%, 10%, 25%, and 50%). |
|
| [61] | Develop the decision-making CAV control algorithm in the VISSIM for safety evaluations. | Safety impact: SSAM.
CAV: External driver model API written in C++.
Manual vehicles: Wiedemann 99. | Market-penetration rate of the CAVs (0%, 25%, 50%, 75%, and 100%).
Daily based estimation, Monday to Friday. |
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