Project 1- Traffic Jam Assistant Feature

AIM - To develop a project on Traffic Jam Assistant System.

OBJECTIVE - To develop one specific requirement of Traffic Jam Assistant algorithm which would predominantly feature in the IPC algorithm.

The Project must be done keeping in mind the following processes & steps.

• This model must be developed in MATLAB Simulink as per MBD guidelines.
• Code Generation Profile must be in Embedded Coder.
• Simulink Data Dictionary must be created for the model & must be linked to the model.
• Model Advisor Report is mandatory & this will be followed by Code Generation.

Traffic Jam Assistant Feature

Introduction to the Feature:

• Traffic Jam Assistant is one of the most common feature in Advanced Driver Assistance System. Traffic Jam Assistant helps the driver arrive more relaxed at their destination, even in dense traffic or in traffic jams.
• As a partially automated comfort function, the system takes over the longitudinal & lateral guidance of the vehicle.
• This means that the car can drive off, accelerate & brake automatically, as well as steer the vehicle within certain constraints.
• The driver has to permanently supervise the system & be ready to take over the complete control of the vehicle at any time.
• Traffic Jam Assistant system helps to avoid rear end collisions in dense traffic conditions & traffic jams.
• In Traffic jams, the vehicle takes over driving off, acceleration, braking and steering within same lane.

Basic Working Principle:

Traffic Jam Assistant is based on the sensors and the functionality of the Adaptive Cruise Control (ACC) with stop & go and Lane Keeping Support (LKS). When ACC ‘Stop & Go’ is turned ON, the Traffic Jam Assistant continuously analyses the speed of the surrounding vehicles and compares it with the own driving speed. If the system detects dense traffic or a traffic jam at speeds less than 60 kmph, the driver can activate the functionality by press of a button. The vehicle will now automatically follow the vehicle in front, takes over driving off, acceleration, braking and steering within same lane.

Information regarding the Traffic Jam Assistant will be available to be displayed to the driver in the Instrument Panel Cluster (IPC). The Algorithm which the students need to implement here in this project is predominantly based on IPC units.

Model Development Of Traffic Jam Assistance -

The whole Traffic Jam Assistant is a very huge algorithm & only one small part of the logic is implemented here. Idea is to familiarize with concepts of Model Based Development in MATLAB Environment.

Given List Of Signals -

Input Signals:

Name of the Signal	Data Type	Range
Input_Voltage	uint8	0 - 255
Input_Switch	boolean	0 – 1
Enable_Display	uint8	0 - 255

Output Signal:

Name of the Signal	Data Type	Range
Output_Display	uint8	0 - 255

Calibration Signals:

Name of the Signal	Data Type	Range	Initial Value
VOLTAGE_MINIMUM_RANGE	uint8	0 – 255	30
VOLTAGE_MAXIMUM_RANGE	uint8	0 – 255	50
OFF_MODE	uint8	0 – 255	2
ON_MODE	uint8	0 – 255	1
STANDBY_MODE	uint8	0 – 255	3
INTERRUPT_1	boolean	0 – 1	1
INTERRUPT_2	boolean	0 - 1	1
NO_DISPLAY	uint8	0 – 255	0

Local Signal:

Name of the Signal	Data Type	Range
Optimum_Voltage	boolean	0 - 1

Main Model -

Traffic_Jam_Assistant Subsystem -

Requirement No 1:

• Input Signal “Input_Voltage” is compared against voltage values “VOLTAGE_MINIMUM_RANGE” & “VOLTAGE_MAXIMUM_RANGE”.
• Incoming input signal “Input_Voltage” must be greater than – equal to “VOLTAGE_MINIMUM_RANGE” and less than – equal to “VOLTAGE_MAXIMUM_RANGE”.
• Output signal from here is “Optimum_Voltage” which will be one of the inputs to the subsystem “DisplayUnit”.

Requirement1 Subsystem -

Requirement No 2 (DisplayUnit Subsystem):

• Input Signals are “Optimum_Voltage”, “Input_Switch”,“Enable_Display”. Signal “Enable_Display” must be saturated between the range 0 – 7. Output signal from the subsystem is “Output_Display”.
• Input Signal “Enable_Display” is compared against pre – defined set of values in a multiport switch. Total data ports in the multiport switch is 5.
• Multiport switch inputs 1 & 2 is connected to calibration signal “ON_MODE”, Multiport switch inputs 3 & 4 is connected to calibration signal “OFF_MODE” while Multiport switch input 5 is connected to calibration signal “STANDBY_MODE”.
• The output from Multiport switch is connected to the first input port of the Switch block. The third input port of the Switch block is connected to the calibration signal “NO_DISPLAY”.
• Meanwhile NOT value of input signal “Input_Switch” is compared in an AND gate against input signal “Optimum_Voltage” and the output from comparing if calibration signals “INTERRUPT_1” & “INTERRUPT_2” are equal. The output of the AND gate is the second input of the switch block.
• The output from the switch block is “Output_Display”.

Display Unit Subsystem -

Creating The Simulink Data Dictionary (SLDD) -

Model Advisor Check -

Here we have to check our model according the MAAB Guidelines -

Now Running the selected check i.e. for the Modelling Standad For MAB we get -

After Running the check for the Modelling Standard For MAB , I got the Error Check as shown above , Now I have resolve this problem by changing the Variable Step Solver to Fixed step Solver in the Configuration Parameter Setting .

As Shown -

We get -

As we can see from the above that our Error has been Passed .

Again Running the Modelling Standad For MAB check we observe that there will we No error and Our Model Following the MAAB Guidelines as shown below -

HTML Report Of Model Advisor Check -

Generating the Code For Our Model -

• For generating code we have to first select our Subsystem , After that on the Tool bar we have to select APP option , under it we have to click on the Embedded Coder as shown .

• We have to change our Code Generation Setting for this we have to Change our System Target File as ert.tlc as shown in the Confugration Parameter Setting as shown -

we get -

• After applying all the setting we now have to generate the Code .

• After Clicking on the Code Generation we get the generated code -

Generated Code -

CONCLUSION -

• MATLAB Simulink Model has been developed according to MAAB Guidelines .
• Code has been generated in the Embedded Coder .
• Simulink Data Dictionary has been created for the model & it has linked to the model.
• Model Advisor Report is been created and aslo Code has been Generated .
• Requirement and Tagging also been done ,word file aslo been submitted.