Project 2 Adaptive Cruise Control

General Overview:
Adaptive Cruise Control Feature for passenger cars allows the host vehicle to adapt to the
speed in line with the flow of traffic. Driving in heavy traffic or keeping a safe distance to the
preceding vehicle calls for a high level of concentration. The Adaptive Cruise Control feature
can reduce the stress on the driver by automatically controlling the vehicle speed &
maintaining a predefined minimum distance to the preceding vehicle. As a consequence, the
driver enjoys more comfort & can concentrate on the road a little better.

A radar sensor is usually at the core of the Adaptive Cruise Control. Installed at the front of
the vehicle, the system permanently monitors the road ahead. As long as the road ahead is
clear, the cruise control feature maintains the speed set by the driver. If the system spots a
slower vehicle within its detection range, it gently reduces speed by releasing the accelerator
or actively engaging the brake control system. If the vehicle ahead speeds up or changes
lanes, the cruise control automatically accelerates to the driver’s desired speed.

Standard Adaptive Cruise Control can be activated from speeds of around 30 km/h (20 mph)
upwards and supports the driver, primarily on cross-country journeys or on freeways. The
cruise control stops & go variant is also active at speeds below 30 km/h (20 mph). It can
maintain the set distance to the preceding vehicle even at very low speeds and can decelerate
to a complete standstill. When the vehicle remains stopped longer, the driver needs only to
reactivate the system, for example by briefly stepping on the gas pedal to return to cruise
control mode. In this way, cruise control stops & go supports the driver even in heavy traffic
and traffic jams.
Since Adaptive Cruise Control is a comfort and convenience system, brake interventions and
vehicle acceleration only take place within defined limits. Even with Adaptive Cruise Control
switched on, it remains the driver’s responsibility to monitor the speed and distance from the
vehicle in front.
The objective of the Main Project:
1. Developing Adaptive Cruise Control feature as per the Requirement Document using
MATLAB Simulink.
2. Follow all the MBD related processes: Requirement Tagging & Traceability, SLDD
creation, Configuration Parameter changes, Model Advisor check & Code
Generation.
3. In Configuration Parameters: enable “Support Floating Numbers” under Code
Generation settings.
4. Use Embedded Coder to generate the code.
5. If choosing code generation, Storage class for Input signals: ImportedExtern;
Storage class for Output signal: Export to File; Storage class for local
signals: localizable; Storage class for calibration signals: Const.
6. Choose sample time for all signals as 0.01s
Requirement 1– Lead Vehicle:
 A lead vehicle is a vehicle that is driving in the road ahead of our drive vehicle. Two
input signals (Signal Name: CameraInput_LeadVehicle & RadarInput_LeadVehicle).

 Ideally, sensor fusion techniques will be deployed to process & analyze data from
cameras & radar. For complexity reasons, let’s not adapt to any such algorithms.
 We can simply add both the radar & camera inputs & the corresponding output is
read as Speed profile output (Signal Name: LeadVehicle_Speed).
 Speed data of the lead vehicle is critical in implementing the Adaptive Cruise Control
algorithm.
Requirement 2 – Drive Vehicle:
 Drive Vehicle is the vehicle driven by the user & this is the vehicle that has ACC
algorithm in it.
 Like the Lead Vehicle, the Driver Vehicle algorithm also has 2 input signals (Signal
Name: CameraInput_DriveVehicle, RadarInput_DriveVehicle) & one signal coming
as an Input to this subsystem (Signal Name: Acceleration_Mode) – three inputs into
this requirement in total.
 Like the above requirement, sensor fusion techniques will also be deployed here, for
complexity reasons we are ignoring them.
 Two output signals come from this subsystem (Signal Name: DriveVehicle_Speed &
LeadVehicle_Detected).
 Signal DriveVehicle_Speed is the summation of three input signals mentioned above
& LeadVehicle_Detected is renamed from Input Signal RadarInput_DriveVehicle by
mere use of Signal Conversion block.
Requirement 3 – Adaptive Cruise Control Algorithm:
 Adaptive Cruise Control feature has 3 major modes of operation: OFF Mode,
STANDBY Mode & ON Mode. This particular requirement has to be implemented as
state machine logic in Simulink.
 The input signals to this state machine system are (Signal Name: Time_Gap,
Set_Speed, Set_Gap, CruiseSwitch, SetSwitch).
 Also, the output signals (Signal Name: DriveVehicle_Speed & LeadVehicle_Detected)
from requirement-2 is fed back as an input signal into this state machine block.
 Additionally, the output signal (Signal Name: LeadVehicle_Speed) from requirement-
1 is given as an input signal to this state machine block as well.
 Output from this subsystem is a signal (Signal Name: Acceleration_Mode) that
governs the vehicular speed of the drive vehicle which automatically adjusts its speed
& velocity to match the lead vehicle.
Requirement 3a – ACC OFF MODE state logic:
 This is the default state inside state machine logic. Output
signal Acceleration_Mode is at value 0 in this state.
 This state is governed by the input signal CruiseSwitch.
 If CruiseSwitch is equal to 1, state ACC STANDBY mode will get activated. If
CruiseSwitch is equal to 0, state ACC OFF mode will get activated, from either ACC
ON mode or ACC STANDBY mode
Requirement 3b – ACC STANDBY MODE state logic:

 This is the second activated state inside state machine logic. Output signal
Acceleration_Mode is at value 1 in this state.
 This state is governed by both input signals CruiseSwitch & SetSwitch.
 If CruiseSwitch is equal to 1, state ACC STANDBY mode will get activated. If
CruiseSwitch is equal to 0, state ACC OFF mode will get activated, from either ACC
ON mode or ACC STANDBY mode
 If SetSwitch is equal to 1, state ACC ON mode will get activated. If SetSwitch is equal
to 0, state ACC STANDBY mode will get activated.
Requirement 3c – ACC ON MODE state logic:
This state will be activated when the input signal SetSwitch is equal to 1. There are 6 sub-
states to this state logic: They are:
 LeadVehicle_Detected_Follow (Default)
 LeadVehicle_Not_Detected
 LeadVehicle_Detected_Resume
 LeadVehicle_Not_Detected_Resume
 LeadVehicle_Speed_lessthan_Set_Speed
Requirement 3c (i) – LeadVehicle_Detected_Follow (ACC ON MODE):
 This is the default substate inside the ACC ON MODE state. Output
signal Acceleration_Mode is equal to 2.
 Condition to transit
from LeadVehicle_Detected_Follow to LeadVehicle_Not_Detected; Input signal
condition LeadVehicle_Detected == 0.
 Condition to transit
from LeadVehicle_Detected_Follow to LeadVehicle_Speed_lessthan_Set_Speed;
Input Signals condition (LeadVehicle_Detected == 1) && (LeadVehicle_Speed <
Set_Speed) || (Time_Gap < Set_Gap).
Requirement 3c (ii) – LeadVehicle_Not_Detected (ACC ON MODE):
 Output signal Acceleration_Mode is equal to 1.
 Condition to transit
from LeadVehicle_Not_Detected to LeadVehicle_Detected_Follow; Input signals
condition [(LeadVehicle_Detected==1) && (DriveVehicle_Speed == Set_Speed)
&& (LeadVehicle_Speed >= Set_Speed) && (Time_Gap >= Set_Gap)]
 Condition to transit
from LeadVehicle_Not_Detected to LeadVehicle_Speed_lessthan_Set_Speed; Input
signals condition [(LeadVehicle_Detected == 1) && (LeadVehicle_Speed <
Set_Speed) || (Time_Gap < Set_Gap)]
Requirement 3c (iii) – LeadVehicle_Detected_Resume (ACC ON MODE):
 Output signal Acceleration_Mode is equal to 3.
 Condition to transit from LeadVehicle_Detected_Resume to
LeadVehicle_Detected_Follow; Input signals condition [(DriveVehicle_Speed ==
Set_Speed) && (LeadVehicle_Speed >= Set_Speed) && (Time_Gap >= Set_Gap)]

 Condition to transit from LeadVehicle_Detected_Resume
to LeadVehicle_Not_Detected_Resume; Input signal
condition LeadVehicle_Detected==0.
 Condition to transit from LeadVehicle_Detected_Resume
to LeadVehicle_Speed_equal_Set_Speed; Input Signal
condition [(DriveVehicle_Speed < Set_Speed) && (LeadVehicle_Speed >
DriveVehicle_Speed) && (Time_Gap >= Set_Gap)]
Requirement 3c (iv) - LeadVehicle_Not_Detected_Resume (ACC ON MODE):
 Output signal Acceleration_Mode is equal to 1.
Requirement 3c (v) - LeadVehicle_Speed_lessthan_Set_Speed (ACC ON MODE):
 Output signal Acceleration_Mode is equal to 4.
 Condition to transit from LeadVehicle_Speed_lessthan_Set_Speed to
LeadVehicle_Not_Detected; Input signal condition [(LeadVehicle_Detected == 0)
&& (DriveVehicle_Speed == Set_Speed)]
 Condition to transit from LeadVehicle_Speed_lessthan_Set_Speed
to LeadVehicle_Speed_equal_Set_Speed; Input signals
condition [((LeadVehicle_Speed*1.25>=DriveVehicle_Speed) &&
(LeadVehicle_Speed * 0.75<=DriveVehicle_Speed)) && (DriveVehicle_Speed <
Set_Speed) && ((Time_Gap<=1.25*Set_Gap) && (Time_Gap >=0.75*Set_Gap))]
Requirement 3c (vi) - LeadVehicle_Speed_equal_Set_Speed (ACC ON MODE):
 Output signal Acceleration_Mode is equal to 5.
 Condition to transit from LeadVehicle_Speed_equal_Set_Speed to
LeadVehicle_Not_Detected_Resume; Input signal conditions
is [(LeadVehicle_Detected == 0) || (DriveVehicle_Speed <= Set_Speed)]
 Condition to transit from LeadVehicle_Speed_equal_Set_Speed
to LeadVehicle_Detected_Resume; Input signal conditions [(DriveVehicle_Speed <
Set_Speed) && (LeadVehicle_Speed > DriveVehicle_Speed) || (Time_Gap >=
Set_Gap)]
 Condition to transit from LeadVehicle_Speed_equal_Set_Speed
to LeadVehicle_Speed_lessthan_Set_Speed; Input signals
conditions [(LeadVehicle_Speed

1. Procedure:
As per the Requirement document, implemented the Adaptive Cruise Control feature.
Lead vehicle
• To detect the lead vehicle speed, simply added both the radar & camera inputs & the
corresponding output is read as Speed profile output.

Drive Vehicle
To regulate the "Drive Vehicle speed, as per the Requirement Document added Cameralnput.
Radarinput & Acceleration Mode feedback from ACC Algorithm.
• To detect the Lead vehicle. Radarinput is converted using "Signal Conversion Block
• To avoid the algebraic error "Unit delay block is used for the Acceleration Mode feedback.

ACC Algorithm
• Adaptive Cruise Control feature has 3 major modes of operation: OFF Mode. STANDBY
Mode & ON Mode. This particular requirement has to be implemented as state machine logic
in Simulink
• The input signals to the state machine system are (Signal Name Time Gap. Set Speed Set
Gap, CruiseSwitch SetSwitch) Also, the output signals (Signal Name DriveVehicle Speed &
LeadVehicle Detected) from requirement-2 is fed back as an input signal into this state
machine block
• Additionally, the output signal (Signal Name LeadVehicle Speed) from requirement-1 is
given as an input signal to this state machine
• Output from this subsystem a signal (Signal Name Acceleration Model which governs the
vehicular speed of the drive vehicle which automatically adjust to speed & velocity to match
the lead vehicle.
• The rest of the signal developed as per the Requirement
2. DEVELOPMENT OF MATLAB MODEL

This is the main model subsystem that having 9 inputs
 CameraInput_LeadVehicle, RadarInput_LeadVehicle, CameraInput_DriveVehicle, Radar
Input_DriveVehi, Time_Gap, Set_Speed, Set_Gap, CruiseSwitch and SetSwitch entering
into the Adaptive Cruise Control subsystem and 4 outputs Acceleration_Mode,
LeadVehicle_Speed, DriveVehicle_Speed, LeadVehicle_Detected

There are 3 requirements are designed in 2 subsystems and one state machine flow chart 
Requirement 1– Lead Vehicle:

 A lead vehicle is a vehicle that is driving in the road ahead of our drive vehicle. Two
input signals (Signal Name: CameraInput_LeadVehicle & RadarInput_LeadVehicle).
 Ideally, sensor fusion techniques will be deployed to process & analyze data from
cameras & radar. For complexity reasons, let’s not adapt to any such algorithms.
 We can simply add both the radar & camera inputs & the corresponding output is
read as Speed profile output (Signal Name: LeadVehicle_Speed).
 Speed data of the lead vehicle is critical in implementing the Adaptive Cruise Control
algorithm.
Requirement 2 – Drive Vehicle:

 Drive Vehicle is the vehicle driven by the user & this is the vehicle that has ACC
algorithm in it.
 Like the Lead Vehicle, the Driver Vehicle algorithm also has 2 input signals (Signal
Name: CameraInput_DriveVehicle, RadarInput_DriveVehicle) & one signal coming.

as an Input to this subsystem (Signal Name: Acceleration_Mode) – three inputs into
this requirement in total.
 Like the above requirement, sensor fusion techniques will also be deployed here, for
complexity reasons we are ignoring them.
 Two output signals come from this subsystem (Signal Name: DriveVehicle_Speed &
LeadVehicle_Detected).
 Signal DriveVehicle_Speed is the summation of three input signals mentioned above
& LeadVehicle_Detected is renamed from Input Signal RadarInput_DriveVehicle by
mere use of Signal Conversion block.
Requirement 3 – Adaptive Cruise Control Algorithm:

Requirement 3a – ACC OFF MODE state logic:
 This is the default state inside state machine logic. Output
signal Acceleration_Mode is at value 0 in this state.
 This state is governed by the input signal CruiseSwitch.
 If CruiseSwitch is equal to 1, state ACC STANDBY mode will get activated. If
CruiseSwitch is equal to 0, state ACC OFF mode will get activated, from either ACC
ON mode or ACC STANDBY mode
Requirement 3b – ACC STANDBY MODE state logic:
 This is the second activated state inside state machine logic. Output signal
Acceleration_Mode is at value 1 in this state.
 This state is governed by both input signals CruiseSwitch & SetSwitch.
 If CruiseSwitch is equal to 1, state ACC STANDBY mode will get activated. If
CruiseSwitch is equal to 0, state ACC OFF mode will get activated, from either ACC
ON mode or ACC STANDBY mode
 If SetSwitch is equal to 1, state ACC ON mode will get activated. If SetSwitch is equal
to 0, state ACC STANDBY mode will get activated.

Requirement 3c – ACC ON MODE state logic:
This state will be activated when the input signal SetSwitch is equal to 1. There are 6 sub-
states to this state logic: They are:
 LeadVehicle_Detected_Follow (Default)
 LeadVehicle_Not_Detected
 LeadVehicle_Detected_Resume
 LeadVehicle_Not_Detected_Resume
 LeadVehicle_Speed_lessthan_Set_Speed
Requirement 3c (i) – LeadVehicle_Detected_Follow (ACC ON MODE):
 This is the default substate inside the ACC ON MODE state. Output
signal Acceleration_Mode is equal to 2.

 Condition to transit
from LeadVehicle_Detected_Follow to LeadVehicle_Not_Detected; Input signal
condition LeadVehicle_Detected == 0.
 Condition to transit
from LeadVehicle_Detected_Follow to LeadVehicle_Speed_lessthan_Set_Speed;
Input Signals condition (LeadVehicle_Detected == 1) && (LeadVehicle_Speed <
Set_Speed) || (Time_Gap < Set_Gap).

Requirement 3c (ii) – LeadVehicle_Not_Detected (ACC ON MODE):
 Output signal Acceleration_Mode is equal to 1.
 Condition to transit
from LeadVehicle_Not_Detected to LeadVehicle_Detected_Follow; Input signals
condition [(LeadVehicle_Detected==1) && (DriveVehicle_Speed == Set_Speed)
&& (LeadVehicle_Speed >= Set_Speed) && (Time_Gap >= Set_Gap)]
 Condition to transit
from LeadVehicle_Not_Detected to LeadVehicle_Speed_lessthan_Set_Speed; Input
signals condition [(LeadVehicle_Detected == 1) && (LeadVehicle_Speed <
Set_Speed) || (Time_Gap < Set_Gap)]
Requirement 3c (iii) – LeadVehicle_Detected_Resume (ACC ON MODE):
 Output signal Acceleration_Mode is equal to 3.
 Condition to transit from LeadVehicle_Detected_Resume to
LeadVehicle_Detected_Follow; Input signals condition [(DriveVehicle_Speed ==
Set_Speed) && (LeadVehicle_Speed >= Set_Speed) && (Time_Gap >= Set_Gap)]
 Condition to transit from LeadVehicle_Detected_Resume
to LeadVehicle_Not_Detected_Resume; Input signal
condition LeadVehicle_Detected==0.
 Condition to transit from LeadVehicle_Detected_Resume
to LeadVehicle_Speed_equal_Set_Speed; Input Signal
condition [(DriveVehicle_Speed < Set_Speed) && (LeadVehicle_Speed >
DriveVehicle_Speed) && (Time_Gap >= Set_Gap)]
Requirement 3c (iv) - LeadVehicle_Not_Detected_Resume (ACC ON MODE):
 Output signal Acceleration_Mode is equal to 1.
Requirement 3c (v) - LeadVehicle_Speed_lessthan_Set_Speed (ACC ON MODE):
 Output signal Acceleration_Mode is equal to 4.
 Condition to transit from LeadVehicle_Speed_lessthan_Set_Speed to
LeadVehicle_Not_Detected; Input signal condition [(LeadVehicle_Detected == 0)
&& (DriveVehicle_Speed == Set_Speed)]
 Condition to transit from LeadVehicle_Speed_lessthan_Set_Speed
to LeadVehicle_Speed_equal_Set_Speed; Input signals
condition [((LeadVehicle_Speed*1.25>=DriveVehicle_Speed) &&
(LeadVehicle_Speed * 0.75<=DriveVehicle_Speed))  (DriveVehicle_Speed <
Set_Speed) ((Time_Gap<=1.25*Set_Gap) && (Time_Gap >=0.75*Set_Gap))]

Requirement 3c (vi) - LeadVehicle_Speed_equal_Set_Speed (ACC ON MODE):
 Output signal Acceleration_Mode is equal to 5.
 Condition to transit from LeadVehicle_Speed_equal_Set_Speed to
LeadVehicle_Not_Detected_Resume; Input signal conditions
is [(LeadVehicle_Detected == 0) || (DriveVehicle_Speed <= Set_Speed)]
 Condition to transit from LeadVehicle_Speed_equal_Set_Speed
to LeadVehicle_Detected_Resume; Input signal conditions [(DriveVehicle_Speed <
Set_Speed) && (LeadVehicle_Speed > DriveVehicle_Speed) || (Time_Gap >=
Set_Gap)]
 Condition to transit from LeadVehicle_Speed_equal_Set_Speed
to LeadVehicle_Speed_lessthan_Set_Speed; Input signals
conditions [(LeadVehicle_Speed(leadvehicle_speed(time_gap==0.75*Set_Gap)] 3. Requirement Tagging and Tracebility report 
all the requirements are tagged for better understandability, anyone who is reviewing the
model or who is trying to update the model can get a clear idea of what logic is used in the
system. from the requirement manager, we can see what are all are tagged and the
description.

Traceability report
I am only sharing 2 or 3 snapshots of the report here but the whole report is attached below  

4. Developing SLDD 

all the inputs, outputs, calibration parameters are saved in SLDD so while simulation the
model takes all the values and its parameters from the Simulink Data Dictionary
5. Signal Resolution for inputs and outputs

the inputs and output signals are resolved so the signals will take the values from sldd and
pass them to the logical blocks. Otherwise, it may take some junk values if it is unresolved
6. Model Update.
The model update is done by Ctrl-D. this is done to check for any static errors. If no errors
are coming the model is working fine without any errors.
7. Simulation
The model is simulated too for checking for errors and warnings
8. Configuration Parameter Update
Various configuration parameters are updated as per the code generation the solver type
should be fixed for  code generation 

9. Model Advisory Report
By running the model advisor tool, we can see commonly made modelling errors.

 10. Code generation 

Build a model for generating code

Generated Code 
/*
* File: Project_2_Adaptive_Cruise_Control.c
*
* Code generated for Simulink model 'Project_2_Adaptive_Cruise_Control'.
*
* Model version : 1.16
* Simulink Coder version : 9.5 (R2021a) 14-Nov-2020
* C/C++ source code generated on : Sun Oct 17 16:38:07 2021
*
* Target selection: ert.tlc
* Embedded hardware selection: Intel->x86-64 (Windows64)
* Code generation objectives: Unspecified
* Validation result: Not run
*/
#include "Project_2_Adaptive_Cruise_Control.h"
#include "Project_2_Adaptive_Cruise_Control_private.h"
/* Named constants for Chart: '/Requirement3' */
#define IN_LeadVehicle_Detected_Follow ((uint8_T)1U)
#define IN_LeadVehicle_Detected_Resume ((uint8_T)2U)
#define IN_LeadVehicle_Not_Detected_Res ((uint8_T)4U)
#define IN_LeadVehicle_Speed_equal_Set_ ((uint8_T)5U)
#define IN_LeadVehicle_Speed_lessthan_S ((uint8_T)6U)
#define Pro_IN_LeadVehicle_Not_Detected ((uint8_T)3U)
#define Project_2_Ad_IN_NO_ACTIVE_CHILD ((uint8_T)0U)
#define Project_2_Adapt_IN_Standby_mode ((uint8_T)3U)
#define Project_2_Adaptive_C_IN_ON_mode ((uint8_T)2U)
#define Project_2_Adaptive__IN_OFF_mode ((uint8_T)1U)
/* Block states (default storage) */
DW_Project_2_Adaptive_Cruise__T Project_2_Adaptive_Cruise_Co_DW;
/* Real-time model */
static RT_MODEL_Project_2_Adaptive_C_T Project_2_Adaptive_Cruise_Co_M_;
RT_MODEL_Project_2_Adaptive_C_T *const Project_2_Adaptive_Cruise_Co_M =
&Project_2_Adaptive_Cruise_Co_M_;
real_T rt_roundd_snf(real_T u)
{
real_T y;

if (fabs(u) < 4.503599627370496E+15) {
if (u >= 0.5) {
y = floor(u + 0.5);
} else if (u > -0.5) {
y = u * 0.0;
} else {
y = ceil(u - 0.5);
}
} else {
y = u;
}
return y;
}
/* Model step function */
void Project_2_Adaptive_Cruise_Control_step(void)
{
int32_T tmp;
int32_T tmp_0;
uint8_T tmp_1;
uint8_T tmp_2;
/* Sum: '/Add incorporates:
* Inport: '/CameraInput_LeadVehicle
* Inport: '/RadarInput_LeadVehicle
*/
LeadVehicle_Speed = (uint8_T)((uint32_T)CameraInput_LeadVehicle +
RadarInput_LeadVehicle);
/* Sum: '/Add incorporates:
* Inport: '/CameraInput_DriveVehicle
* Inport: '/RadarInput_DriveVehicle
* UnitDelay: '/Unit_Delay
*/
DriveVehicle_Speed = (uint8_T)((uint32_T)(uint8_T)((uint32_T)
CameraInput_DriveVehicle + Acceleration_Mode) +
RadarInput_DriveVehicle);
/* SignalConversion: '/Signal_Conversion incorporates:
* Inport: '/RadarInput_DriveVehicle
*/
LeadVehicle_Detected = RadarInput_DriveVehicle;
/* Chart: '/Requirement incorporates:
* Inport: '/CruiseSwitch
* Inport: '/SetSwitch
* Inport: '/Set_Gap
* Inport: '/Set_Speed
* Inport: '/Time_Gap
*/
if (Project_2_Adaptive_Cruise_Co_DW.is_active_c3_Project_2_Adaptive ==
0U) {
Project_2_Adaptive_Cruise_Co_DW.is_active_c3_Project_2_Adaptive = 1U;
Project_2_Adaptive_Cruise_Co_DW.is_c3_Project_2_Adaptive_Cruise =
Project_2_Adaptive__IN_OFF_mode;
Acceleration_Mode = 0U;
} else {
switch
(Project_2_Adaptive_Cruise_Co_DW.is_c3_Project_2_Adaptive_Cruise) {
case Project_2_Adaptive__IN_OFF_mode:
Acceleration_Mode = 0U;

if (CruiseSwitch) {
Project_2_Adaptive_Cruise_Co_DW.is_c3_Project_2_Adaptive_Cruise =
Project_2_Adapt_IN_Standby_mode;
Acceleration_Mode = 1U;
}
break;
case Project_2_Adaptive_C_IN_ON_mode:
if (!CruiseSwitch) {
Project_2_Adaptive_Cruise_Co_DW.is_ON_mode =
Project_2_Ad_IN_NO_ACTIVE_CHILD;
Project_2_Adaptive_Cruise_Co_DW.is_c3_Project_2_Adaptive_Cruise =
Project_2_Adaptive__IN_OFF_mode;
Acceleration_Mode = 0U;
} else if (!SetSwitch) {
Project_2_Adaptive_Cruise_Co_DW.is_ON_mode =
Project_2_Ad_IN_NO_ACTIVE_CHILD;
Project_2_Adaptive_Cruise_Co_DW.is_c3_Project_2_Adaptive_Cruise =
Project_2_Adapt_IN_Standby_mode;
Acceleration_Mode = 1U;
} else {
switch (Project_2_Adaptive_Cruise_Co_DW.is_ON_mode) {
case IN_LeadVehicle_Detected_Follow:
Acceleration_Mode = 2U;
if (LeadVehicle_Detected == 0) {
Project_2_Adaptive_Cruise_Co_DW.is_ON_mode =
Pro_IN_LeadVehicle_Not_Detected;
Acceleration_Mode = 1U;
} else if (((LeadVehicle_Detected == 1) && (LeadVehicle_Speed <
Set_Speed)) || (Time_Gap < Set_Gap)) {
Project_2_Adaptive_Cruise_Co_DW.is_ON_mode =
IN_LeadVehicle_Speed_lessthan_S;
Acceleration_Mode = 4U;
}
break;
case IN_LeadVehicle_Detected_Resume:
Acceleration_Mode = 3U;
if ((DriveVehicle_Speed < Set_Speed) && (LeadVehicle_Speed >
DriveVehicle_Speed) && (Time_Gap >= Set_Gap)) {
Project_2_Adaptive_Cruise_Co_DW.is_ON_mode =
IN_LeadVehicle_Speed_equal_Set_;
Acceleration_Mode = 5U;
} else if ((DriveVehicle_Speed == Set_Speed) &&
(LeadVehicle_Speed >=
Set_Speed) && (Time_Gap >= Set_Gap)) {
Project_2_Adaptive_Cruise_Co_DW.is_ON_mode =
IN_LeadVehicle_Detected_Follow;
Acceleration_Mode = 2U;
} else if (LeadVehicle_Detected == 0) {
Project_2_Adaptive_Cruise_Co_DW.is_ON_mode =
IN_LeadVehicle_Not_Detected_Res;
Acceleration_Mode = 1U;
}
break;
case Pro_IN_LeadVehicle_Not_Detected:
Acceleration_Mode = 1U;
if ((LeadVehicle_Detected == 1) && (DriveVehicle_Speed ==
Set_Speed) &&
(LeadVehicle_Speed >= Set_Speed) && (Time_Gap >= Set_Gap)) {

Project_2_Adaptive_Cruise_Co_DW.is_ON_mode =
IN_LeadVehicle_Detected_Follow;
Acceleration_Mode = 2U;
} else if (((LeadVehicle_Detected == 1) && (LeadVehicle_Speed <
Set_Speed)) || (Time_Gap < Set_Gap)) {
Project_2_Adaptive_Cruise_Co_DW.is_ON_mode =
IN_LeadVehicle_Speed_lessthan_S;
Acceleration_Mode = 4U;
}
break;
case IN_LeadVehicle_Not_Detected_Res:
Acceleration_Mode = 1U;
break;
case IN_LeadVehicle_Speed_equal_Set_:
Acceleration_Mode = 5U;
if ((LeadVehicle_Detected == 0) || (DriveVehicle_Speed <=
Set_Speed))
{
Project_2_Adaptive_Cruise_Co_DW.is_ON_mode =
IN_LeadVehicle_Not_Detected_Res;
Acceleration_Mode = 1U;
} else if (((DriveVehicle_Speed < Set_Speed) &&
(LeadVehicle_Speed &<
DriveVehicle_Speed)) || (Time_Gap >= Set_Gap)) {
Project_2_Adaptive_Cruise_Co_DW.is_ON_mode =
IN_LeadVehicle_Detected_Resume;
Acceleration_Mode = 3U;
} else if (((LeadVehicle_Speed < Set_Speed) && (LeadVehicle_Speed
<
DriveVehicle_Speed)) || ((int32_T)rt_roundd_snf(0.75
*
(real_T)Set_Gap) == Time_Gap)) {
Project_2_Adaptive_Cruise_Co_DW.is_ON_mode =
IN_LeadVehicle_Speed_lessthan_S;
Acceleration_Mode = 4U;
}
break;
default:
/* case IN_LeadVehicle_Speed_lessthan_Set_Speed: */
Acceleration_Mode = 4U;
if ((LeadVehicle_Detected == 0) && (DriveVehicle_Speed ==
Set_Speed))
{
Project_2_Adaptive_Cruise_Co_DW.is_ON_mode =
Pro_IN_LeadVehicle_Not_Detected;
Acceleration_Mode = 1U;
} else {
tmp = (int32_T)rt_roundd_snf((real_T)LeadVehicle_Speed * 1.25);
tmp_0 = (int32_T)rt_roundd_snf(1.25 * (real_T)Set_Gap);
if (tmp < 256) {
tmp_1 = (uint8_T)tmp;
} else {
tmp_1 = MAX_uint8_T;
}
if (tmp_0 < 256) {
tmp_2 = (uint8_T)tmp_0;
} else {

tmp_2 = MAX_uint8_T;
}
if ((tmp_1 >= DriveVehicle_Speed) &&
((int32_T)rt_roundd_snf((real_T)
LeadVehicle_Speed * 0.75) <= DriveVehicle_Speed) &&
(DriveVehicle_Speed < Set_Speed) && (Time_Gap <= tmp_2) &&

(Time_Gap >= (int32_T)rt_roundd_snf(0.75 *
(real_T)Set_Gap))) {
Project_2_Adaptive_Cruise_Co_DW.is_ON_mode =
IN_LeadVehicle_Speed_equal_Set_;
Acceleration_Mode = 5U;
}
}
break;
}
}
break;
default:
/* case IN_Standby_mode: */
Acceleration_Mode = 1U;
if (!CruiseSwitch) {
Project_2_Adaptive_Cruise_Co_DW.is_c3_Project_2_Adaptive_Cruise =
Project_2_Adaptive__IN_OFF_mode;
Acceleration_Mode = 0U;
} else if (SetSwitch) {
Project_2_Adaptive_Cruise_Co_DW.is_c3_Project_2_Adaptive_Cruise =
Project_2_Adaptive_C_IN_ON_mode;
Project_2_Adaptive_Cruise_Co_DW.is_ON_mode =
IN_LeadVehicle_Detected_Follow;
Acceleration_Mode = 2U;
}
break;
}
}
/* End of Chart: '/Requirement */
}
/* Model initialize function */
void Project_2_Adaptive_Cruise_Control_initialize(void)
{
/* (no initialization code required) */
}
/* Model terminate function */
void Project_2_Adaptive_Cruise_Control_terminate(void)
{
/* (no terminate code required) */
}
/*
* File trailer for generated code.
*
* [EOF]
*/
 Results:

• After implementing the ACC model run the simulation. So the model is running successfully
without any errors then the Adaptive Cruise Control works as per the requirement
• The model is running successfully without any error.
Conclusion:
Hence. The Adaptive Cruise Control feature is developed as per the Requirement Document
using MATLAB Simulink