Inner Join or Merge in a single Table?

Question

I have a Single table with
City            date               type     vlCC       vlVV       
    key
London    24-01-2014        CC       blue                         key1
London    25-01-2014        VV                    yellow         key4
London    24-01-2014        VV                    green          key2
Lisbon     24-01-2014        CC       green                     
 key5
Lisbon     24-01-2014        VV                     red           
 key6
London    25-01-2014        CC       black                        key3
My first approach was a inner join but hanged here.
SELECT distinct p.city, p.date, p.type FROM Cities AS P INNER JOIN Cities AS P2
ON P.City = P2.City AND P.Date = P2.Date   AND P.type <> P2.type and P.Date > GETDATE() order by   p.city, p.date,  p.type
My wanted output is
London     24-01-2014       blue        green      key1      key2
Lisbon      24-01-2014        green      red          key5      key6
London     25-01-2014       black       yellow     key3      key4
(ordered by   p.city, p.date,  p.type)
It means I want to "merge" the rows by city and date and order it like that (city,date )
Thanks

Answer 1

I have included solutions posted earlier (make them all work) and they can return what you need. 
It seems the solution Latheesh provided with Max(Case...) works faster  by viewing their execution plan with this sample data.
Thanks for everyone's input. I have combined all queries in one script now:
Create Table Test(City varchar(50),date Date, type Char(2), vlCC varchar(100),vlVV varchar(100),[key] Varchar(10))
Insert into Test Values
('London','01/24/2014','CC','blue','','key1'),
('London','01-25-2014','VV','','yellow','key4'),
('London','01-24-2014','VV','','green','key2'),
('Lisbon','01-24-2014','CC','green','','key5'),
('Lisbon','01-24-2014','VV','','red','key6'),
('London','01-25-2014','CC','black','','key3')
,('Lisbon','01-26-2014','cc','','violet','key7'),
('London','01-27-2014','vv','yellow','','key8')
--Latheesh
Select City,date,vLcc,vLcc, ccKey, vvKey FROM (
Select City,date
,MAX (vlCC) as vLcc
,MAX (vlVV) as vLvv
,MAX(Case when type = 'cc' then [Key] else null end) ccKey
,MAX(Case when type = 'vv' then [Key] else null end) vvKey
From Test
Group by City,date) t
WHERE ccKey+vvKey IS Not NULL
Order by Date, City DESC
--Visakh16
Select * from (SELECT COALESCE(t1.city,t2.city) AS city,
COALESCE(t1.date,t2.date) AS date,
t1.vlCC,
t2.vlVV,
t1.[key] as key1,
t2.[key] as key2
FROM Test t1
FULL JOIN Test t2
On t2.city = t1.city
AND t2.date = t1.date
AND t2.type = 'vv'
AND t1.type = 'cc') t
WHERE key1+key2 IS Not NULL
Order by Date, City DESC
--eralper
; with cte as (
select *, rn = ROW_NUMBER() over (partition by city, date order by type) from test
SELECT * FROM (
select distinct
city,
date,
max(vlCC) over (partition by city, date) as vlCC,
max(vlVV) over (partition by city, date) as vlVV,
key1 = max(case when rn = 1 then [key] else null end) over (partition by city, date),
key2 = max(case when rn = 2 then [key] else null end) over (partition by city, date)
from cte) t
WHERE key1+key2 is not null
--Jayakumaur
;with cte
as
select City,Date,max(vlCC) vlCC,max(vlVV) vlVV
From test
group by city,date
,cte1
as
select city,date,[key]
from test
select city,date,vlCC,vlVV,[1] as keya,[2] as keyb
from
select c.* ,a.[key],row_number() over(partition by c.city,c.date order by [key]) rn
from cte c
inner join cte1 a on c.city=a.city and c.date=a.date
) tab
PIVOT
max([key]) for rn in([1],[2])
) pvt
WHERE [1] +[2] IS Not NULL
Order by Date, City DESC
Drop table Test