Project 2 Adaptive Cruise Control

Main Project – Adaptive Cruise Control (ACC)

AIM:-

Aim is to Development of a MATLAB Simulink Model for Adaptive Cruise Control feature as per the requirement document following Model Based Development (MBD) related processes: SLDD creation, configuration parameter changes, Model advisor check and code generation using embedded coder tool.

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 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, 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 stop & 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 stop & 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.

Objective of 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

Model Making :-

Final simulink model is to be like this as shown below.

Model have 9 inputs and one output.

Required to have 3 models in side the main model.

Requirement 1– Lead Vehicle:

• Lead Vehicle is a vehicle which 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 camera & 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 which has ACC algorithm in it.
• Like the Lead Vehicle, Drive 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 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, 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) which 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 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 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 sub state inside 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<Set_Speed) && (LeadVehicle_Speed<DriveVehicle_Speed) || (Time_Gap == 0.75*Set_Gap)]

The state flow chart is formed by the all the requirements given under requirement 3

Values are modied as input & out put in symbol pane under modeling in state flow.

Signals & Calibration Data List:

Signal / Calibration Name	Signal Type	Data Type	Dimension	Min	Max	Initial Value	Units
CameraInput_LeadVehicle	Input	Uint8	1	0	255	-	-
RadarInput_LeadVehicle	Input	Uint8	1	0	255	-	-
CameraInput_DriveVehicle	Input	Uint8	1	0	255	-	-
RadarInput_DriveVehicle	Input	Uint8	1	0	255	-	-
Time_Gap	Input	Uint8	1	0	255	-	-
Set_Speed	Input	Uint8	1	0	255	-	-
Set_Gap	Input	Uint8	1	0	255	-	-
CruiseSwitch	Input	Boolean	1	0	1	-	-
SetSwitch	Input	Boolean	1	0	1	-	-
Acceleration_Mode	Output	Uint8	1	0	255	-	-
LeadVehicle_Speed	Output	Uint8	1	0	255	-	-
DriveVehicle_Speed	Output	Uint8	1	0	255	-	-
LeadVehicle_Detected	Output	Uint8	1	0	255	-	-

Creating sldd:-

Under modeling just open "link to data dictionary" and then crate a new file with desired for the model.

Then a new sldd file is created .

TO acess the sldd go to the external data under that Data design.

Then add signals as per the requirent and edit according to question.

Save sldd file.

SOLVER SETTINGS :-

Open model settings or click ctrl+E.

under solver settings give as "FIXED STEP " AND DESCRET

CODE GENERATION SETTINGS:-

REQUIREMENTS TO THE BLOCK USING WORD FILE :

Using word file we can requirements to the perticular bolcks

After highlighting a sentense by giving Right click on the blok and then requirements under link to the word file .

Similary for all the subsystems we can do.

NEED TO RUN UNDER MODEL ADVISER:-

MAAB Guidelines Check in Model Advisor:

A check is performed using 'Model Advisor tool in Simulink to see whether the developed model meets the modeling standards for MAAB.

Click on generate report to download report.

Then go to apps in the top and select embedded code .

Then click on build to generate code.

The generated code is :

1.Adaptivecruse_control.c

/*
* File: Adaptivecruse_control.c
*
* Code generated for Simulink model 'Adaptivecruse_control'.
*
* Model version : 1.8
* Simulink Coder version : 9.5 (R2021a) 14-Nov-2020
* C/C++ source code generated on : Fri Jan 14 00:58:23 2022
*
* Target selection: ert.tlc
* Embedded hardware selection: Intel->x86-64 (Windows64)
* Code generation objectives: Unspecified
* Validation result: Not run
*/

#include "Adaptivecruse_control.h"
#include "Adaptivecruse_control_private.h"

/* Named constants for Chart: '<S4>/ACC_logic' */
#define Ada_IN_LeadVehicle_Not_Detected ((uint8_T)3U)
#define Adaptivecru_IN_ACC_STANDBY_MODE ((uint8_T)3U)
#define Adaptivecrus_IN_NO_ACTIVE_CHILD ((uint8_T)0U)
#define Adaptivecruse_c_IN_ACC_OFF_MODE ((uint8_T)1U)
#define Adaptivecruse_co_IN_ACC_ON_MODE ((uint8_T)2U)
#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)

/* Exported data definition */

/* Definition for custom storage class: ExportToFile */
uint8_T Acceleration_Mode; /* '<S1>/Unit Delay' */

/* Block states (default storage) */
DW_Adaptivecruse_control_T Adaptivecruse_control_DW;

/* External outputs (root outports fed by signals with default storage) */
ExtY_Adaptivecruse_control_T Adaptivecruse_control_Y;

/* Real-time model */
static RT_MODEL_Adaptivecruse_contro_T Adaptivecruse_control_M_;
RT_MODEL_Adaptivecruse_contro_T *const Adaptivecruse_control_M =
&Adaptivecruse_control_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 Adaptivecruse_control_step(void)
{
/* local block i/o variables */
uint8_T LeadVehicle_Speed;
uint8_T DriveVehicle_Speed;
uint8_T LeadVehicle_Detected;
int32_T tmp;
int32_T tmp_0;
uint8_T tmp_1;
uint8_T tmp_2;

/* Sum: '<S3>/Add' incorporates:
* Inport: '<Root>/CameraInput_LeadVehicle'
* Inport: '<Root>/RadarInput_LeadVehicle'
*/
LeadVehicle_Speed = (uint8_T)((uint32_T)CameraInput_LeadVehicle +
RadarInput_LeadVehicle);

/* UnitDelay: '<S1>/Unit Delay' */
Acceleration_Mode = Adaptivecruse_control_Y.Acceleration_Mode_e;

/* Sum: '<S2>/Add' incorporates:
* Inport: '<Root>/CameraInput_DriveVehicle'
* Inport: '<Root>/RadarInput_DriveVehicle'
*/
DriveVehicle_Speed = (uint8_T)((uint32_T)(uint8_T)((uint32_T)
CameraInput_DriveVehicle + Acceleration_Mode) + RadarInput_DriveVehicle);

/* SignalConversion: '<S2>/Signal Conversion' incorporates:
* Inport: '<Root>/RadarInput_DriveVehicle'
*/
LeadVehicle_Detected = RadarInput_DriveVehicle;

/* Chart: '<S4>/ACC_logic' incorporates:
* Inport: '<Root>/CruiseSwitch'
* Inport: '<Root>/SetSwitch'
* Inport: '<Root>/Set_Gap'
* Inport: '<Root>/Set_Speed'
* Inport: '<Root>/Time_Gap'
* UnitDelay: '<S1>/Unit Delay'
*/
if (Adaptivecruse_control_DW.is_active_c3_Adaptivecruse_cont == 0U) {
Adaptivecruse_control_DW.is_active_c3_Adaptivecruse_cont = 1U;
Adaptivecruse_control_DW.is_c3_Adaptivecruse_control =
Adaptivecruse_c_IN_ACC_OFF_MODE;
Adaptivecruse_control_Y.Acceleration_Mode_e = 0U;
} else {
switch (Adaptivecruse_control_DW.is_c3_Adaptivecruse_control) {
case Adaptivecruse_c_IN_ACC_OFF_MODE:
Adaptivecruse_control_Y.Acceleration_Mode_e = 0U;
if (CruiseSwitch) {
Adaptivecruse_control_DW.is_c3_Adaptivecruse_control =
Adaptivecru_IN_ACC_STANDBY_MODE;
Adaptivecruse_control_Y.Acceleration_Mode_e = 1U;
}
break;

case Adaptivecruse_co_IN_ACC_ON_MODE:
if (!CruiseSwitch) {
Adaptivecruse_control_DW.is_ACC_ON_MODE =
Adaptivecrus_IN_NO_ACTIVE_CHILD;
Adaptivecruse_control_DW.is_c3_Adaptivecruse_control =
Adaptivecruse_c_IN_ACC_OFF_MODE;
Adaptivecruse_control_Y.Acceleration_Mode_e = 0U;
} else if (!SetSwitch) {
Adaptivecruse_control_DW.is_ACC_ON_MODE =
Adaptivecrus_IN_NO_ACTIVE_CHILD;
Adaptivecruse_control_DW.is_c3_Adaptivecruse_control =
Adaptivecru_IN_ACC_STANDBY_MODE;
Adaptivecruse_control_Y.Acceleration_Mode_e = 1U;
} else {
switch (Adaptivecruse_control_DW.is_ACC_ON_MODE) {
case IN_LeadVehicle_Detected_Follow:
Adaptivecruse_control_Y.Acceleration_Mode_e = 2U;
if (LeadVehicle_Detected == 0) {
Adaptivecruse_control_DW.is_ACC_ON_MODE =
Ada_IN_LeadVehicle_Not_Detected;
Adaptivecruse_control_Y.Acceleration_Mode_e = 1U;
} else if (((LeadVehicle_Detected == 1) && (LeadVehicle_Speed <
Set_Speed)) || (Time_Gap < Set_Gap)) {
Adaptivecruse_control_DW.is_ACC_ON_MODE =
IN_LeadVehicle_Speed_lessthan_S;
Adaptivecruse_control_Y.Acceleration_Mode_e = 4U;
}
break;

case IN_LeadVehicle_Detected_Resume:
Adaptivecruse_control_Y.Acceleration_Mode_e = 3U;
if ((DriveVehicle_Speed == Set_Speed) && (LeadVehicle_Speed >=
Set_Speed) && (Time_Gap >= Set_Gap)) {
Adaptivecruse_control_DW.is_ACC_ON_MODE =
IN_LeadVehicle_Detected_Follow;
Adaptivecruse_control_Y.Acceleration_Mode_e = 2U;
} else if (LeadVehicle_Detected == 0) {
Adaptivecruse_control_DW.is_ACC_ON_MODE =
IN_LeadVehicle_Not_Detected_Res;
Adaptivecruse_control_Y.Acceleration_Mode_e = 1U;
} else if ((DriveVehicle_Speed < Set_Speed) && (LeadVehicle_Speed >
DriveVehicle_Speed) && (Time_Gap >= Set_Gap)) {
Adaptivecruse_control_DW.is_ACC_ON_MODE =
IN_LeadVehicle_Speed_equal_Set_;
Adaptivecruse_control_Y.Acceleration_Mode_e = 5U;
}
break;

case Ada_IN_LeadVehicle_Not_Detected:
Adaptivecruse_control_Y.Acceleration_Mode_e = 1U;
if ((LeadVehicle_Detected == 1) && (DriveVehicle_Speed == Set_Speed) &&
(LeadVehicle_Speed >= Set_Speed) && (Time_Gap >= Set_Gap)) {
Adaptivecruse_control_DW.is_ACC_ON_MODE =
IN_LeadVehicle_Detected_Follow;
Adaptivecruse_control_Y.Acceleration_Mode_e = 2U;
} else if (((LeadVehicle_Detected == 1) && (LeadVehicle_Speed <
Set_Speed)) || (Time_Gap < Set_Gap)) {
Adaptivecruse_control_DW.is_ACC_ON_MODE =
IN_LeadVehicle_Speed_lessthan_S;
Adaptivecruse_control_Y.Acceleration_Mode_e = 4U;
}
break;

case IN_LeadVehicle_Not_Detected_Res:
Adaptivecruse_control_Y.Acceleration_Mode_e = 1U;
break;

case IN_LeadVehicle_Speed_equal_Set_:
Adaptivecruse_control_Y.Acceleration_Mode_e = 5U;
if ((LeadVehicle_Detected == 0) || (DriveVehicle_Speed <= Set_Speed))
{
Adaptivecruse_control_DW.is_ACC_ON_MODE =
IN_LeadVehicle_Not_Detected_Res;
Adaptivecruse_control_Y.Acceleration_Mode_e = 1U;
} else if (((DriveVehicle_Speed < Set_Speed) && (LeadVehicle_Speed >
DriveVehicle_Speed)) || (Time_Gap >= Set_Gap)) {
Adaptivecruse_control_DW.is_ACC_ON_MODE =
IN_LeadVehicle_Detected_Resume;
Adaptivecruse_control_Y.Acceleration_Mode_e = 3U;
} else if (((LeadVehicle_Speed < Set_Speed) && (LeadVehicle_Speed <
DriveVehicle_Speed)) || ((int32_T)rt_roundd_snf(0.75 *
(real_T)Set_Gap) == Time_Gap)) {
Adaptivecruse_control_DW.is_ACC_ON_MODE =
IN_LeadVehicle_Speed_lessthan_S;
Adaptivecruse_control_Y.Acceleration_Mode_e = 4U;
}
break;

default:
/* case IN_LeadVehicle_Speed_lessthan_Set_Speed: */
Adaptivecruse_control_Y.Acceleration_Mode_e = 4U;
if ((LeadVehicle_Detected == 0) && (DriveVehicle_Speed == Set_Speed))
{
Adaptivecruse_control_DW.is_ACC_ON_MODE =
Ada_IN_LeadVehicle_Not_Detected;
Adaptivecruse_control_Y.Acceleration_Mode_e = 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))) {
Adaptivecruse_control_DW.is_ACC_ON_MODE =
IN_LeadVehicle_Speed_equal_Set_;
Adaptivecruse_control_Y.Acceleration_Mode_e = 5U;
}
}
break;
}
}
break;

default:
/* case IN_ACC_STANDBY_MODE: */
Adaptivecruse_control_Y.Acceleration_Mode_e = 1U;
if (!CruiseSwitch) {
Adaptivecruse_control_DW.is_c3_Adaptivecruse_control =
Adaptivecruse_c_IN_ACC_OFF_MODE;
Adaptivecruse_control_Y.Acceleration_Mode_e = 0U;
} else if (SetSwitch) {
Adaptivecruse_control_DW.is_c3_Adaptivecruse_control =
Adaptivecruse_co_IN_ACC_ON_MODE;
Adaptivecruse_control_DW.is_ACC_ON_MODE = IN_LeadVehicle_Detected_Follow;
Adaptivecruse_control_Y.Acceleration_Mode_e = 2U;
}
break;
}
}

/* End of Chart: '<S4>/ACC_logic' */
}

/* Model initialize function */
void Adaptivecruse_control_initialize(void)
{
/* (no initialization code required) */
}

/* Model terminate function */
void Adaptivecruse_control_terminate(void)
{
/* (no terminate code required) */
}

/*
* File trailer for generated code.
*
* [EOF]
*/

2.Adaptivecruse_control.h:

/*
* File: Adaptivecruse_control.h
*
* Code generated for Simulink model 'Adaptivecruse_control'.
*
* Model version : 1.8
* Simulink Coder version : 9.5 (R2021a) 14-Nov-2020
* C/C++ source code generated on : Fri Jan 14 00:58:23 2022
*
* Target selection: ert.tlc
* Embedded hardware selection: Intel->x86-64 (Windows64)
* Code generation objectives: Unspecified
* Validation result: Not run
*/

#ifndef RTW_HEADER_Adaptivecruse_control_h_
#define RTW_HEADER_Adaptivecruse_control_h_
#include <math.h>
#ifndef Adaptivecruse_control_COMMON_INCLUDES_
#define Adaptivecruse_control_COMMON_INCLUDES_
#include "rtwtypes.h"
#endif /* Adaptivecruse_control_COMMON_INCLUDES_ */

#include "Adaptivecruse_control_types.h"

/* Macros for accessing real-time model data structure */
#ifndef rtmGetErrorStatus
#define rtmGetErrorStatus(rtm) ((rtm)->errorStatus)
#endif

#ifndef rtmSetErrorStatus
#define rtmSetErrorStatus(rtm, val) ((rtm)->errorStatus = (val))
#endif

/* Block states (default storage) for system '<Root>' */
typedef struct {
uint8_T is_active_c3_Adaptivecruse_cont;/* '<S4>/ACC_logic' */
uint8_T is_c3_Adaptivecruse_control; /* '<S4>/ACC_logic' */
uint8_T is_ACC_ON_MODE; /* '<S4>/ACC_logic' */
} DW_Adaptivecruse_control_T;

/* External outputs (root outports fed by signals with default storage) */
typedef struct {
uint8_T Acceleration_Mode_e; /* '<Root>/Acceleration_Mode' */
} ExtY_Adaptivecruse_control_T;

/* Real-time Model Data Structure */
struct tag_RTM_Adaptivecruse_control_T {
const char_T * volatile errorStatus;
};

/* Block states (default storage) */
extern DW_Adaptivecruse_control_T Adaptivecruse_control_DW;

/* External outputs (root outports fed by signals with default storage) */
extern ExtY_Adaptivecruse_control_T Adaptivecruse_control_Y;

/* Model entry point functions */
extern void Adaptivecruse_control_initialize(void);
extern void Adaptivecruse_control_step(void);
extern void Adaptivecruse_control_terminate(void);

/* Exported data declaration */

/* Declaration for custom storage class: ExportToFile */
extern uint8_T Acceleration_Mode; /* '<S1>/Unit Delay' */

/* Real-time Model object */
extern RT_MODEL_Adaptivecruse_contro_T *const Adaptivecruse_control_M;

/*-
* The generated code includes comments that allow you to trace directly
* back to the appropriate location in the model. The basic format
* is <system>/block_name, where system is the system number (uniquely
* assigned by Simulink) and block_name is the name of the block.
*
* Use the MATLAB hilite_system command to trace the generated code back
* to the model. For example,
*
* hilite_system('<S3>') - opens system 3
* hilite_system('<S3>/Kp') - opens and selects block Kp which resides in S3
*
* Here is the system hierarchy for this model
*
* '<Root>' : 'Adaptivecruse_control'
* '<S1>' : 'Adaptivecruse_control/Subsystem'
* '<S2>' : 'Adaptivecruse_control/Subsystem/Requiement2'
* '<S3>' : 'Adaptivecruse_control/Subsystem/Requirement1'
* '<S4>' : 'Adaptivecruse_control/Subsystem/Requirement3'
* '<S5>' : 'Adaptivecruse_control/Subsystem/Requirement3/ACC_logic'
*/
#endif /* RTW_HEADER_Adaptivecruse_control_h_ */

/*
* File trailer for generated code.
*
* [EOF]
*/

Result:-

In The Simulink model for adaptive cruise control of a vehicle was designed according to the requirements complying with the standards and the embedded code for the feature was generated respectively.

Conclusion:

The Adaptive cruise control is a very important feature of adas and has a very important role in safety for both the driver's vehicle and the approaching vehicle ahead.

A safe and error free code for such feature is mandatory especially in autonomous cars, hence using the Simulink embedded coder app it was attainable effortlessly.