A systematic literature review of vehicle speed assistance in intelligent transportation system

Abstract

Due to the emergence of new technologies over the past decade, vehicle speed assistance systems in intelligent transportation systems have frequently been discussed. Up to now, a systematic literature review has not been presented to discover and evaluate the different vehicle speed assistance approaches for on‐road vehicles in intelligent transportation systems. To overcome this issue, this research identified peer‐reviewed articles published in the most well‐known libraries from 2011 to 2020. 79 primary studies were then projected and a systematic analysis of the selected literature was conducted. The findings show different driving goals, namely eco‐driving, safety, comfort, travel time improvement as well as the high‐level objectives addressed by vehicle speed assistance systems. The analytical discussions are provided to show different perspectives, properties and limitations of the existing solutions. This analysis allows to provide future challenges and directions in this field of research.

Hierarchical cooperative eco‐driving control for connected autonomous vehicle platoon at signalized intersections

“…where a 0 (t) means the acceleration of the leading CAV, v 0 (t) means the velocity of the leading CAV, s 0 (t) means the driving distance of the leading CAV, t 0 refers to the initial time when the last following vehicle leaves the stop line, t f refers to the terminal time when the leading vehicle reaches the stop line of the next intersection, as shown in Figure 4; 2 dt is designed to ensure driving comfort of the leading CAV; and 𝜓(s 0 (t f ), v 0 (t f )) represents the penalty at terminal time t f , as:…”

“…where the item (v i (k) − v tar (k)) 2 is designed to ensure that the following vehicles in the platoon maintain preferable speed following performance, wherein v tar (k) denotes the planned target velocity at step k; 𝛿 i (k) denotes the deviation between the desired headway distance d des,i (k) and actual headway distance d i (k), and 𝛿 i (k) 2 is designed for the sake of keeping a proper headway distance between two adjacent vehicles according to the vehicle interior spacing dynamic model as described in (2), that is,…”

“…𝜙 ECOi (i = 1, 2, … n) is the economic performance index for all the following vehicles in the platoon, which is designed according to ( 6) to ( 8) but for the vehicle 1 − n. Note that since the vehicle acceleration is critical for driving comfort, in the above cost function, the vehicle comfort is optimized by setting the item of u i (k) 2 , i = 1, 2, … n. Meanwhile, in addition to the speed and acceleration constraints of vehicles, a safe distance d sa fe , which is most critical, needs to be guaranteed between two adjacent vehicles in the platoon, as:…”

A lane changing time point and path tracking framework for autonomous ground vehicle

“…Although there has been substantial research on path planning and tracking in collision avoidance system for AGV [16], many aspects on lane changing still need to be investigated, more specifically, on lane changing time point. As a matter of fact, when driver driving the car comes across an obstacle in front of the road, if he would conduct lane changing maneuver, he first judges the appropriate lane changing time point based on experience.…”

Internet of Things-Based Intelligent Ontology Model for Safety Purpose Using Wireless Networks

“…At the same time, increasing the overall safety and reliability of transportation systems, traffic flow, travel speeds, and customer satisfaction across various transportation modes was as follows. The ITS provide various opportunities for collaboration as well as a dependable transportation platform [3].…”