Multi-lane cooperative shock wave mitigation

Data-Driven Adaptive Automated Driving Model in Mixed Traffic

“…(𝑡 = 𝑡 0 + 𝑡 𝐿𝐶 ) If the MOBIL criteria (3) and ( 4) are met, and the subject vehicle initiates a lane change in the next time step as described in Step 4, we assume that the lane change will be completed in time 𝑡 𝐿𝐶 , where 𝑡 𝐿𝐶 ≤ 3 𝑠. The velocity and the longitudinal position of the vehicles after a successful lane change may be calculated from ( 8) and (9). 𝑣 𝑡 0 +𝑡 𝐿𝐶 = 𝑣 𝑡 0 + 𝑎 𝑐 .…”

“…𝑡 𝐿𝐶 (8) 𝑥 𝑡 0 +𝑡 𝐿𝐶 = 𝑥 𝑡 0 + 𝑣 𝑡 0 . 𝑡 𝐿𝐶 (9) At this step, one of the virtual configurations will be adopted as the new traffic configuration (Fig. 6 and Fig.…”

“…Most studies of automated driving behavior have only focused on one-dimensional analysis of traffic flow, namely, car-following in the same lane. Very few have attempted to include lane-changing maneuvers into their microscopic traffic model and assessed their impacts on mixed traffic flow [6], [7], despite lane-changing being associated with stop-and-go oscillations that propagate upstream and eventually affect traffic throughput [8], [9]. These oscillations occur during a lane change because of sudden, responsive changes in the car-following behavior of the surrounding vehicles, including the abrupt deceleration of the new follower in the target lane [10], [11].…”

Internet of Vehicles: Enabling safe, secure, and private vehicular crowdsourcing

“…Vehicular shock waves are a traffic phenomenon that results from unexpected, seemingly unprovoked, patches of slow moving vehicles that lead to nonuniform distribution of traffic along highways. V2V can be leveraged in this instance to inform drivers of traffic irregularities and provide recommendations such as reduced speed adjustments or lane change maneuvers to improve the overall traffic state . This application relies on the ability to communicate between vehicles, however, sufficient traffic improvements can be achieved with low penetration rates of V2V technology.…”

“…V2V can be leveraged in this instance to inform drivers of traffic irregularities and provide recommendations such as reduced speed adjustments or lane change maneuvers to improve the overall traffic state. 6 This application relies on the ability to communicate between vehicles, however, sufficient traffic improvements can be achieved with low penetration rates of V2V technology. Traffic information can be processed locally within vehicle clouds to provide vehicles in a geographic location with traffic awareness beyond line of sight, which will offer the vehicles the ability to adapt to traffic demands in advance.…”