Research Article

Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow Modelling

Table 1

Classical and modified car-following models.

Model categoryClassical model nameDistinctive features and advantages of modified modelsLimitations of modified modelsReferences

Desired measure modelsIDM(i) Taking desired velocity and desired headway into account(i) Slow response[4549]
(ii) Taking traffic capacity into account(ii) Variations of headway larger than ACC or CACC type of CAVs
(iii) Producing smooth car-following behavior(iii) Producing unrealistic deceleration/acceleration
(iv) Producing more realistic vehicle dynamics, more stable(iv) Ignoring asymmetric behavior of vehicles
(v) Ignoring technical limitation of vehicle for acceleration
(vi) Ignoring anticipation factor
(vii) Ignoring mechanical capability of vehicle
(viii) Ignoring driving variability
(ix) Ignoring communication capability of CAVs
(x) Ignoring past information of traffic and driving behavior as feedback
.(xi) Considering delay time as same as driver
Helly(i) Collision free(i) Ignoring asymmetric behavior of vehicles[5054]
(ii) Considering the acceleration and velocity of following vehicle to evaluate desired space headway(ii) Ignoring technical limitation of vehicle for acceleration
(iii) Decreasing traffic breakdown at the bottleneck(iii) Ignoring communication capability of CAVs
(iv) Smooth transition between free flow and CF modes(iv) Ignoring past information of traffic and driving behavior as feedback
(v) The absence of string instability(v) Most parameters are unobservable in nature
(vi) Considerably smaller velocity disturbances at road bottlenecks(vi) Ignoring mechanical capability of vehicle
(vii) Decreasing the probability of traffic breakdown at the bottleneck in mixed traffic flow(vii) Producing unrealistic deceleration/acceleration

Collision avoidance modelsKometani(i) Collision free(i) Ignoring stimulus-response[45, 5557]
(ii) Maintains an optimal balance among safe and efficient driving(ii) Ignoring asymmetric behavior of vehicles
(iii) A small variation ends the reaction for the following driver(iii) Ignoring technical limitation of vehicle for acceleration
(iv) Ignoring desired velocity
(v) Ignoring communication capability of CAVs
(vi) Ignoring past information of traffic and driving behavior as feedback
(vii) Unnecessary large headway happens particularly when velocity is high
Optimal velocity ModelsOptimal velocity (OV) model(i) Considering anticipation driving behavior(i) Producing unrealistic deceleration/acceleration[5860]
(ii) Producing rational interactions between two vehicles in terms of vehicle dynamics with acceptable delay(ii) Ignoring past information of traffic and driving behavior as feedback
(iii) Considering communication capability of CAVs(iii) Ignoring mechanical capability of vehicle for acceleration
(iv) Ensures congestion occurs instead of accidents(iv) Safe space headway is constant
(v) Simplicity of model(v) Is not collision free
Full velocity differences (FVD) model(i) Considering anticipation driving behavior(i) Ignoring technical limitation of vehicle during acceleration[6164]
(ii) All advantages of FVD model(ii) Ignoring mechanical capability of vehicle for acceleration
(iii) Considered past information as feedback(iii) Ignoring communication capability of CAVs
(iv) Considering Communication capability of CAVs(iv) Is not collision free
(v) Safe space headway is constant