Email:
[email protected]
Login
Register
English
Deutsch
Español
Français
Português
Home
Add new document
Sign In
Create An Account
Agent-based Mesoscopic Urban Traffic Simulation based on Multi-lane Cell Transmission Model
HOME
Agent-based Mesoscopic Urban Traffic Simulation based on Multi-lane Cell Transmission Model
Agent-based Mesoscopic Urban Traffic Simulation based on Multi-lane Cell Transmission Model
'EB687...
Download PDF
860KB Sizes
0 Downloads
28 Views
Report
Recommend Documents
Agent-based Mesoscopic Urban Traffic Simulation based on Multi-lane Cell Transmission Model
Urban Traffic Flow Prediction with Variable Cell Transmission Model
Network traffic control based on a mesoscopic dynamic flow model
Supporting real-world network-oriented mesoscopic traffic simulation on GPU
Multilane traffic flow dynamics: Some macroscopic considerations
A hybrid model for real time simulation of urban traffic
Parameters Calibration of Traffic Simulation Model Based on Data Mining
Basic Study on a Simulation Model for the Traffic Stream on Urban Expressway Merging Area
A macroscopic model with the advantages of microscopic model: A review of Cell Transmission Model’s extensions for urban traffic networks
A traffic flow state transition model for urban road network based on Hidden Markov Model
Advancement of the car following model of Wiedemann on lower velocity ranges for urban traffic simulation
Multilane first-order traffic flow model with endogenous representation of lane-flow equilibrium
PDF Reader
Full Text
'EB687<4B@CHG8E*6<8A68 Q Available online at www.sciencedirect.com 'EB687<4B@CHG8E*6<8A68 Q
ScienceDirect
JJJ 8?F8I<8E 6B@ ?B64G8 CEB687<4 JJJ 8?F8I<8E 6B@ ?B64G8 CEB687<4
Procedia Computer Science 151 (2019) 240–247
+;8 G; AG8EA4G
F4A7+86;AB?B:<8F%+ +;8 G; AG8EA4G
F4A7+86;AB?B:<8F%+ CE Q$4L #8HI8A8?:
:8AG54F87$8FBF6BC<6,E54A+E499<6*<@H?4G
'4E>4J4FBB08B45 088HA"<@45*8BA:=
'4E>4J4FBB08B45
%35)%(9%2')(267-787)3*
'-)2')%2(!)',2303+; ! %),%/53$86)32++8%).)32)48&0-'3*35)%
&):$35/"2-9)56-7;&8,%&- %%(-;%760%2(&8,%&-"2-7)(5%&1-5%7)6 %35)%(9%2')(267-787)3* '-)2')%2(!)',2303+; ! %),%/53$86)32++8%).)32)48&0-'3*35)% &):$35/"2-9)56-7;&8,%&-
%%(-;%760%2(&8,%&-"2-7)(5%&1-5%7)6
.
8F68AG8EFG4:8J
8F68AG8EFG4:8J
J
J
+;
+;
6E84G
6E84G
BEE8FCBA7
4
E
1%-0%((5)66;J4FBB>4
E O +;8HG;BEF 'H5?
6E84G
6E84G
1877-0509 © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Conference Program Chairs. 10.1016/j.procs.2019.04.035
Yeeun Kim et al. / Procedia Computer Science 151 (2019) 240–247 -1)7%053')(-%31487)5 '-)2') <
241
FG;8AH@58EB9I8;<6?8F
G;4G;4F?4E:8FC4684A74GE8@8A7BHFAH@58EB9I8;<6?8FG;8@<6EBF6BC<6GE499<6F<@H?4G
J
8
88C
FB94??G;8I8;<6?8F
F $8FBF6BC<6@B78?
+;8?4A8F64A586BA9<:HE87
Yeeun Kim et al. / Procedia Computer Science 151 (2019) 240–247 87,352%1)53')(-%31487)5 '-)2') <
242
+;8F86BA7C4E47<:@B9G;8@8FBF6BC<6@B78?:EBHCFI8;<6?8F
8GF
&%+)$
8G4E8@B78?87GB@BI88DH4??L?4A86;4A:
4A7G;8I8;<6?8FC887
B9G;8CEBCBF87@B78?4A778G4874?:BE
4A7 GE499<6 78@4A7 J;<6;
6BAF
FBHE68F
4A76BAA86G
?8A:G; *BHE684A7G;8F
4E8I
FBHE68G;4G64A 58G;BH:;GB94F4I
F
link 4
link 8
cc 8
cc 4
<: %8GJBE>E8?4G87G8E@
cc 6
link 6 link 1
cc 1
cc 7 link 2
cc 2
link 7 link 3
cc 3
cc 9 link 5 link 9 cc 5
<: K4@C?8B94E84?EB47GBCB?B:L4A7G;85A8GJBE>GBCB?B:L
Yeeun Kim et al. / Procedia Computer Science 151 (2019) 240–247 -1)7%053')(-%31487)5 '-)2') <
243
6BAA86G
GBA8KG?
F4A7
F;4I8G;8
F4A76BAA86G
F?
4A7?
4A7G;8
F *B@8@B78?FC8E9BE@E8EBHG
Setup Road Network (Link, Connection cell)
Setup Demand¬ (Individual vehicle route) No
simulation time step < max loop Yes
Simulation Run
simulation time step % update interval == 0
No
Move vehicles from the sources to origin links
Yes
Reset sink
Select vehicles to MLC
Update source with vehicles
Select vehicles to OLC
simulation time step == 0
Move selected vehicles to MLC and OLC
Print output
Select vehicles to CF simulation time step > max loop
No
cc 6 link 1
link 8
Calculate number of vehicles to CF in cell unit considering trafc signal
link 4
Yes
cc 8
cc 4
<: %8GJBE>E8?4G87G8E@
6 Movelink selected vehicles ¬tolink CF2 cc 1 cc 2
cc 7
link 7 link 3
cc 3
cc 9
Yes
link 5
simulation time step =+ 1
link 9 cc 5
End
<: ?BJ6;4EGB9$+$ <: K4@C?8B94E84?EB47GBCB?B:L4A7G;85A8GJBE>GBCB?B:L
Yeeun Kim et al. / Procedia Computer Science 151 (2019) 240–247 87,352%1)53')(-%31487)5 '-)2') <
244
<: F;BJFG;89?BJ6;4EGB9$+$ G8I8ELHC74G8
4A7FG4EGGE
Li ≥ Limin = v ifree ⋅ dt
J;8E8 4A7 E8CE8F8AG68???8A:G;4A7@
4A7 78ABG8FG;8F<@H?4G
F86G
78ABG8FG;8@4K<@H@AH@58EB9I8;<6?8FG;4G64A8K
+$4FFH@8FG;4GG;868???8A:G;
*BG;8D
ni,s,l (t + dt) = ni,s,l (t) + yi,s−1,l (t) − yi,s,l (t)
yi,s,l (t) = min[ni,s,l (t),Qi (t),
wi
vi, free
⋅(N i,s+1,l (t) − ni,s+1,l (t))]⋅
Li,min Li
9G8EG;8?BA:
GBA8KG -8;<6?8@BI8@8AG58GJ88A?
F4?FB9B??BJFG;8F4@89BE@H?4 AG;
Yeeun Kim et al. / Procedia Computer Science 151 (2019) 240–247 -1)7%0 53')(-%31487)5 '-)2') <
hi,s,l l = max[0,
vi,s,l − vi,s,l
12
2
vi, free
1
⋅ ni,s,l ] 1
245
J;8E8 @84AFG;8FC887B968?? *
G;4GGBB@4ALI8;<6?8F@BI8J;8AGJBGLC8FB9?4A8 6;4A:
12
12
J;8E8 4A7 E8CE8F8AGG;889986G
87 9BE $#
! -180%7-326)784 $+$
J
6BAF
F6BAA86G87GBG;8F<:A4?
6BAF
G;8I8;<6?8FG4EGF7E
F466BE7
@ ; 66BE7
@4A7G;868???8A:G;I4?H8 +;8J4I8 FC8874A7G;8@4K<@H@9?BJ4E8F8G4G >@ ;4A7 I8; ;E ?4A8 AG;
F 4A7E8FC86G
4A7G;8F<:A4?
FJ;<6;4E8ABGF;BJA
<: +8FGA8GJBE>J
Yeeun Kim et al. / Procedia Computer Science 151 (2019) 240–247 87,352%1)53')(-%31487)5 '-)2') <
246
<: *C468G<@86BAGBHEC?BGB9EB4778AF
5?
6?
4A77?
-180%7-325)68076 F4E8FH?GB9G;8F<@H?4G
E846;G;87BJAFGE84@4A76;4A:8?4A8F
F +;8L4E8F;BJA45BI8G;8:E88A?
F Q
87?4A8F BJ8I8EG;86BA7H6G875LG;8FC8877<998E8A6858GJ88A?4A8F64HF8FFB@8I8;<6?8FGB @BI8
87?4A8F4F
F #4A86;4A:
Yeeun Kim et al. / Procedia Computer Science 151 (2019) 240–247 -1)7%053')(-%31487)5 '-)2') <
247
BHG5LG;8FC8877<998E8A68B9G;8?4A8F .88KC8E<@8AG$+$
F 49G8E:E88A?<:;G
J4FFHCCBEG875L AFG
2 3 2 3
% RF<@C?<9<8764E9B??BJ
23
$ +E8<58E 8AA86>84A7 8?5
454E7BA
<4F! B?L4E4A7- ?8K<47
6727)52%7-32%032*)5)2')3227)00-+)27!5%264357%7-32 ;67)16! CC Q
23 23 23 23 23 23 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3
+4?85CBHE4A7 * $4;@4FF4A<R A9?H8A68B96BAA86G874A74HGBAB@BHFI8;<6?8FBAGE499<69?BJFG45
<998E8AG<4?*C887#<@
FS!5%**-'2+327530 IB? AB * "<@* +4>4A7 08BR:8AG54F87A8GJBE>GE4AF@
$ 4?@8E4A7! )N@8A4CCR:8AG&E<8AG87BHC?
E
FS!5%264)6%571)5+!)',230IB? AB CC Q 4JEBAR*<@H?4G
FS-8E?4:A<6;G8E@
" %4:8?4A7$ *6;E86>8A58E:R68??H?4E4HGB@4GBA@B78?9BE9E88J4LGE499<6S,;6IB? AB CC
Q
86
×
Report "Agent-based Mesoscopic Urban Traffic Simulation based on Multi-lane Cell Transmission Model"
Your name
Email
Reason
-Select Reason-
Pornographic
Defamatory
Illegal/Unlawful
Spam
Other Terms Of Service Violation
File a copyright complaint
Description
Our partners will collect data and use cookies for ad personalization and measurement.
Learn how we and our ad partner Google, collect and use data
.
Agree & close