Intelligent Transport System

SCHOOL OF ARCHITECTURE, COMPUTING AND ENGINEERING

Intelligent Transport System


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Module Code: EG7031
MSc in Civil Engineering




Solution : Q.1 (a) Shortest route from Brighton to Exeter
Table and Figure made as per data of distance is given. In Figure Yellow Colour digit notation is for a node number. The black color digit in the white box is the calculation of the shortest path of that node from the relative node and the White color digit is the distance between respective nodes.
Table Q.1(a).1 Node notation – Based on distance in m
Node	Name	Node Notation based on distance in m
1	Brighton (O) Origin	0
2	London	52
3	Southampton	65
4	Basingstoke	95
5	Salisbury	86
6	Bristol	136
7	Exeter (D) Destination	169











Figure : Q.1(a).1 – Distance between two locations
Table .1(a).2  Dijkstra’s Algorithm : (Consider ‘-‘  means infinity)
Node	2	3	4	5	6	7
1	52	65	-	-	-	-
2		-	48	-	118	-
4				40	-	-
5					50	87
6						(88) 87
Shortest Route: 1-3-7  (Brighton-Southmpton -Exerter )	Distance : 169m
Brighton – Southmpton (65) + Southmpton – Exerter (104)  = 169

Q.1 (b)route from Brighton to Exeter with the lowest carbon footprintprint.
The table shows the footprints of the routes
Route	Route Number	Time (min)	ID	CF = ID*t*10-6
London - Basingstoke 	2-4	46	1933807	89
Basingstoke - Southampton 	4-3	30	1933807	58
London - Bristol 	2-6	110	1933807	213
Bristol - Exeter 	6-7	77	1933807	149
London - Brighton 	1-2	55	1933807	106
Brighton - Southampton 	1-3	90	1933807	174
Southampton - Exeter 	3-7	160	1933807	309
Bristol - Salisbury 	6-5	72	1933807	139
Southampton - Salisbury  	3-5	30	1933807	58
Basingstoke - Salisbury 	4-5	53	1933807	102
Salisbury - Exeter 	5-7	123	1933807	238
Figure Shows Footprint Details of nodes as well as routes — nodes connected with the yellow line having lowest footprints. 
Lowest Footprint Route is: 1-2-6-7 i.e. Brighton – London – Bristol – Exeter 
FootPrints of the most economical route is 468.











Q.1 (c) Limitation of Model :
As the Carbon footprints here depend upon the time required to travel between two nodes and there is no other dependency, this model is biased. The model does not examine the distance for footprints. As fas as the environment area concern, more the distance more the fuel will be used and thus more the environment got affected. If the route examined based on distance smallest route got the lowest carbon footprint. Livelihood and sustainability of the environment can’t be examined through this model.

2. Evaluation and applications of ITS 
Marford is a small city in central England, with a population of 200,000 and 500 cars per 1000 people. After years of depopulation in the surrounding rural area, this is finally starting to increase in population, due in part to an influx of city dwellers looking more affordable homes outside the city of London. However, much of the rural population remains elderly and at risk of social exclusion due to poor transport links. Marford itself had an industrial base that was historically based on textiles and coal, but this has now gone into decline and tourism is now an essential industry. However, the service sector is also growing in importance, with much of the employment in that sector now concentrated on a business park on the edge of town, close to the main junction with the national motorway network. Significant retail development is also planned here.  
Economically, Marford is performing at a level that is below average, but not so far below average that it is seen to merit primary government intervention. Although the motorway bypasses Marford to the north and west, the main road from the highway to another significant town to the south runs right through the middle of the city. Traffic, including heavy goods vehicles, hurts the city’s historic district. Also, congestion is compounded by many local trips made by car in the town and by the city dwellers coming into Marford to shop at new shopping malls. Consequently, the city centre is at risk of breaching the EU’s 2010 limits on oxides of nitrogen, and the poor environment threatens the town’s tourist industry. However, due to the anticipated impact of Brexit, the county government has made it clear that there is unlikely to be money available within the next ten years to pay for a bypass for the city. Marford’s Transport Plan for the city and the surrounding area has the following objectives:  
Environment – protecting historic built environments as well as the natural environment.  
Economy – to use transport to ensure that the economy prospers.  
Safety – to ensure the safety of all road users, but especially vulnerable road users and pedestrians like the elderly 
Social inclusion - to meet the transport needs of all social groups.  
Accessibility – to make sure that, as far as possible, all destinations become more comfortable to reach, although n 


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