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Development of Two-Lane Car-Following Model to Generate More Realistic Headway Behavior

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Received September 17, 2012/ revised November 27, 2012/ accepted March 18, 2013

Copyright ⵑ 2013 by the Korean Society of Civil Engineers

 ǣŠ––’ǣȀȀ†šǤ†‘‹Ǥ‘”‰ȀͳͲǤͳʹ͸ͷʹȀ•…‡ǤʹͲͳ͵Ǥ͵͵ǤͷǤͳͻͻͻ ™™™Ǥ•…‡Œ‘—”ƒŽǤ‘”Ǥ”

⊲ᢢ#㯂⢢⶿ⴶ#㇦ᨎ⢚ᇂ#㭇㚚#ጪ㯂ⴂ#Ⳃ㬚#5㇦Ḛ#㇦ᶇ㍒⹃⁦㯓#ᇚ⇚

ଗࣦ୺

Yoon, Byoung Jo*

Development of Two-Lane Car-Following Model to Generate More Realistic Headway Behavior

ABSTRACT

The key characteristics of two-lane-and-two-way traffic flow are platoon and overtaking caused by low-speed vehicle such as truck. In order to develop two-way traffic flow model comprised of CF(car-following) and overtaking model, it is essential to develop a car-following model which is suitable to two-way traffic flow. Short distance between vehicles is caused when a high-speed vehicle tailgates and overtakes foregoing low-speed vehicle on two-way road system. And a vehicle following low-speed vehicle decides to overtake the front low-speed vehicle using suitable space within the headway distribution of opposite traffic flow. For this reason, a two-way CF model should describes not only running within short gap but also headway distribution. Additionally considering domestic two-way-road size, there is a on-going need for large-network simulation, but there are few studies for two-way CF model.

In this paper, a two-way CA model is developed, which explains two-way CF behavior more realistic and can be applied for large road network. The experimental results show that the developed model mimics stop-and-go phenomenon, one of features of congested traffic flow, and efficiently generates the distribution of headway. When the CF model is integrated with overtaking model, it is, therefore, expected that two-way traffic flow can be explained more realistically than before.

Key words : Two-lane highway, Car-Following Model, Cellular Automata, Short Front Space, Headway Behavior

Ⅹಾ

2₉ಽ᧲ႊ⨆ࠥಽ(ᯕ⦹2₉ಽࠥಽ)᮹ᵝ᫵⦽✚Ḷᮡ⪵ྜྷ₉ప॒᮹ᱡᗮ₉పᮝಽᯙ⦹ᩍၽᔾ⦹۵₉పǑŝ₉ప⇵ᬵ⧪┽ᯕ݅. ₉ప⇵᳦ŝ

₉ప⇵ᬵ༉⩶ᯕđ⧊ࡽ2₉ಽࠥಽƱ☖ඹ༉⩶ᮥ}ၽ⦹ʑ᭥⧕ᕽ۵2₉ಽࠥಽᨱᱢ⧊⦽₉ప⇵᳦༉⩶᮹}ၽᯕ⦥ᙹᱢᯕ݅. 2₉ಽࠥಽᨱᕽ

Łᗮ₉పᮡᱡᗮ₉ప᮹⬥ၙᨱᕽ₉ప⇵᳦ᮥᙹ⧪⧉ŝ޵ᇩᨕ⇵ᬵᮥᙹ⧪⦹íࡹ໑, ᯕŝᱶᨱᕽṈᮡ₉eÑญaၽᔾ⦹íࡽ݅. ੱ⦽ᱡᗮ₉ పᮥ⇵᳦⦹۵₉పᮡݡ⧎Ʊ☖ඹ᮹₉ࢱ᜽eᇥ⡍ԕᨱᕽᱢᱶŖeᮥᯕᬊ⦹ᩍ₉ప⇵ᬵᮥđᱶ⦹íࡽ݅. ঑௝ᕽ2₉ಽ₉ప⇵᳦༉⩶ᮡṈᮡ

₉eÑญᨱᕽ₉పᵝ⧪ŝ޵ᇩᨕ₉ࢱ᜽eᇥ⡍ෝᖅ໦⧕᧝⦽݅. ⇵aᱢᮝಽǎԕ᮹2₉ಽࠥಽȽ༉ෝŁಅ⦹໕ݡȽ༉ࠥಽ฾ᮥ༉᮹ᝅ⨹⧁

ᙹᯩ۵༉⩶ᯕ⦥᫵⦽ᝅᱶᯕ݅. ǎԕ᮹Ğᬑ, 2₉ಽ₉ప⇵᳦༉⩶ᨱݡ⦽ᩑǍ۵Ñ᮹ᅕŁࡹŁᯩḡᦫ݅. ᅙᩑǍᨱᕽ۵ݡȽ༉aಽ฾ᨱᱢ ᬊᯕa܆⦹໕ᕽ2₉ಽࠥಽ᮹₉ప⇵᳦⧪┽ෝᅕ݅⩥ᝅᱢᮝಽǍ⩥⧁ᙹᯩ۵༉⩶ᮥ}ၽ⦹ᩡ݅. }ၽࡽ༉⩶᮹ᝅ⨹ᱢ⠪ađŝ, ⪝ᰂƱ☖

ඹ᮹✚ᖒᵲ⦹ӹᯙa݅ᕽ݅(stop-and-go) ⩥ᔢŝ₉ࢱ᜽eᇥ⡍ෝ⬉ŝᱢᮝಽᖅ໦⦹۵äᮝಽӹ┡ԍ݅. ঑௝ᕽᅙᩑǍᨱᕽᱽ᜽ࡽ₉ప⇵

᳦༉⩶ᯕ₉ప⇵ᬵ༉⩶ŝđ⧊ࡽĞᬑ, ᅕ݅⩥ᝅᱢᮝಽ2₉ಽࠥಽƱ☖ඹෝᖅ໦⧁ᙹᯩᮥäᮝಽ❱݉ࡽ݅.

áᔪᨕ 2₉ಽࠥಽ, ₉ప⇵᳦༉⩶, Cellular Automata, ṈᮡᱥႊŖe, ₉ࢱ᜽e✚ᖒ

”ƒ•’‘”–ƒ–‹‘‰‹‡‡”‹‰ İࣀėॡ

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1. ᕽು

ǎԕ ᧲ႊ⨆ 2₉ಽ ࠥಽ(ᯕ⦹ 2₉ಽ ࠥಽ)᮹ ⅾ Ƚ༉۵

34,254kmಽᕽᱥℕࠥಽ฾(42,609km, Łᗮࠥಽᱽ᫙)᮹᧞80%

ᯕᔢᮥ₉ḡ⦹Łᯩ݅. ə్ӹ2₉ಽࠥಽƱ☖ᔢ┽ෝᇥᕾ⦹ʑ

᭥⦽᜽ဍ౩ᯕ░۵ၙǎᨱᕽ}ၽࡽTWOPASS᮹Parameterෝ

᳑ᱶ⦹ᩍᯕᬊ⦹Łᯩ۵ᙹᵡᯕ໑, ǎԕ2₉ಽƱ☖⪹Ğᨱᱢ⧊⦽

ࠦᯱᱢᯙ᜽ဍ౩ᯕ░۵ᅕŁࡹŁᯩḡᦫ݅. ǎԕ᮹ࠦᯱᱢʑᚁಽ

}ၽࡽ 2₉ಽ ࠥಽ ᜽ဍ౩ᯕ░᮹ ᇡᰍᨱ ݡ⦽ ᵝ᫵⦽ ᬱᯙ ᵲ

⦹ӹ۵ 2₉ಽ ࠥಽ ₉ప⇵᳦༉⩶᮹ ᇡᰍෝ ॅ ᙹ ᯩ݅.

঑௝ᕽǎԕ2₉ಽࠥಽ᮹Ƚ༉ෝŁಅ⧁ভ, ݡȽ༉ࠥಽ฾᮹

ၙ᜽ᱢ༉᮹ᝅ⨹ᮥ᭥⧕ᕽ۵2₉ಽࠥಽ₉ప⇵᳦༉⩶᮹}ၽᯕ

⦥ᙹᱢᯕӹ, ᯕᨱݡ⦽ǎԕᩑǍ۵ๅᬑၙ⯂⦽ᝅᱶᯕ݅. ੱ⦽

ᔢᬊ⪵ࡽၙ᜽ᱢ₉ప᜽ဍ౩ᯕ░(CORSIM, VISSIM, PARA- MICS, CUBIC ॒)۵2₉ಽࠥಽᮥǍ⩥⧁ᙹᨧ۵⦽ĥaᯩᮝ໑, ǎԕ᮹2₉ಽࠥಽ⪹Ğᨱᱢ⧊⦹ḡᦫ۵݉ᱱᯕᯩ݅. ᯕ᪡zᯕ

2 ₉ಽࠥಽ᜽ဍ౩ᯕ░᮹}ၽŝƱ☖Ŗ⦺ᱢᇥᕾᮥ᭥⧕ᕽ2₉ಽ

ࠥಽ₉ప༉⩶}ၽᮡ⦺ᚁᱢ⊂໕ᨱᕽ᜽ɪ⦽ᩑǍᇥ᧝௝❱݉ࡽ݅.

2 ₉ಽࠥಽ᮹Ʊ☖ඹ✚ᖒᮡ(ᱡᗮ₉పᮝಽᯙ⦽) ₉పǑŝ⇵ᬵ

⧪┽ᯕ݅. ₉పǑᮡ₉పǑᕽࢱᨱᕽᵝ⧪⦹۵ᱡᗮ₉ప᮹ᗮࠥᨱ

঑௝ ݅᧲⦽ ⩶┽ෝ aḡí ࡽ݅. əญŁ ᱡᗮ₉పᮥ ⇵ᬵ⦹۵

₉పᮡᩎႊ⨆Ʊ☖ඹ᮹₉ࢱ᜽eᇥ⡍ԕᨱᕽ⇵ᬵa܆₉ࢱ᜽eᮥ

ᖁ┾⦹Ł, ⇵ᬵᮥᙹ⧪⦹íࡽ݅. ᯕ్⦽ŝᱶᨱᕽ(ᷪ, ᱡᗮ₉పᮥ

⇵᳦⦹۵₉పe᮹₉ప⇵᳦ŝᱶŝ⇵ᬵ⬥⧕ݚ₉ಽಽᅖȡ⦹۵

ŝᱶ) ₉ప᮹ᵝ⧪ᗮࠥᨱእ⦹ᩍṈᮡ₉eÑญaၽᔾ⦹íࡽ݅.

঑௝ᕽ2₉ಽ₉ప⇵᳦༉⩶ᮡᱡᗮ₉ప⇵᳦ၰ⇵ᬵ᪥ഭ᜽Ṉᮡ

₉eÑญಽᯙ⦽₉ࢱ᜽eᇥ⡍ෝᖅ໦⧕᧝⦽݅. ⇵aᱢᮝಽǎԕ ᮹ ᯕ₉ಽ ࠥಽ Ƚ༉ෝ Łಅ⧁ ভ, 2₉ಽ ࠥಽ ₉ప⇵᳦༉⩶ᮥ

ݡȽ༉ḡᩎeࠥಽ฾ᨱᱢᬊ⦹ʑ᭥⧕ᕽ۵༉⩶᮹}ၽ᜽ᩑᔑᗮࠥ

᪡޵ᇩᨕີ༉ญෝ⬉ŝᱢᮝಽ⃹ญ⧁ᙹᯩࠥಾŁಅࡹᨕ᧝⦽݅.

঑௝ᕽᅙᩑǍᨱᕽ۵☖ĥྜྷญ⦺ᱢᯕುŝᯕᔑᱢ᜽Ŗeᮥ

ʑၹᮝಽݡȽ༉ࠥಽ฾ᨱᱢᬊᯕa܆⦽Cellular Automata(ᯕ⦹

CA) ෝᯕᬊ⦽2₉ಽCA ₉ప⇵᳦༉⩶ᮥ}ၽ⦹Ł, əᱢᬊa܆ᖒ

ᮥᝅ⨹ᱢᮝಽᇥᕾ⦹ᩡ݅. }ၽࡽ₉ప⇵᳦༉⩶ᮡၙ᜽ᱢ⊂໕ᨱ ᕽʑ᳕CA₉ప⇵᳦༉⩶᮹݉ᱱᯕᨩ޹Ṉᮡ₉eÑญᨱᕽɪĊ⦽

ᗮࠥqᗮྙᱽᱱᮥ⬉ŝᱢᮝಽɚᅖ⧉ᮝಽ៉₉ࢱ᜽eᇥ⡍ෝ݅᧲

⦹íǍ⩥⧉ŝ࠺᜽ᨱa݅ᕽ݅⩥ᔢᮥᖅ໦⦹ᩡᮝ໑, Ñ᜽ᱢ⊂໕ ᨱᕽ Ñ᜽ᱢ Ʊ☖ඹšĥෝ ⧊ญᱢᮝಽ ᖅ໦⦹ᩡ݅.

2. ʑ᳕ᩑǍŁₑ

ᱥ☖ᱢᮝಽ₉ప⇵᳦༉⩶ᮡGMĥᩕ(GM family)༉⩶, ᦩᱥÑ

ญ(safety distance) ༉⩶, ∊࠭⫭⦝(collision avoidance)༉⩶॒

ᮥॅᙹᯩ݅. ᯕॅ༉⩶ᮡᬕᱥᯱ᮹ၹ᮲᜽eŝšಉࡽၝqࠥ,

₉ప༉⩶ᮡᬊపqᗭ(capacity drop), ᯱᩑၽᔾᱢ⪝ᰂ(spontaneous jam), ⪝ᰂƱ☖ඹᔢ┽ᨱᕽ᮹a݅ᕽ݅(stop-and-go) Ʊ☖ඹ, 2₉ ಽࠥಽ᮹₉పǑ(platoon)ᮥᖅ໦⦹۵ߑ⦽ĥෝaḡŁᯩᮝ໑,

༉⩶᮹᜽ŖeǍ᳑۵ᩑᗮᱢᯥᮝಽᝅᙹ⩶ᄡᙹෝᯕᬊ⦹ᩍᩑᔑ

ᮥᙹ⧪⦹íࡽ݅(Chang et al. 2005). ঑௝ᕽݡȽ༉ࠥಽ฾᮹

༉᮹ᝅ⨹ᙹ⧪᜽ᩑᔑᙹ⧪ᗮࠥaᝅ᜽eᅕ݅۱ญ໑ฯᮡີ༉ญ a⦥᫵⦽⦽ĥෝaḡŁᯩʑভྙᨱʑ᳕༉⩶ᮥᯕᬊ⦽ݡȽ༉

ࠥಽ฾ ༉᮹ᝅ⨹ᮡ ᅕŁࡹŁ ᯩḡ ᦫᮡ ᝅᱶᯕ݅(Chang et al.

2004, 2005). ঑௝ᕽᅙᩑǍ۵CAᯕುᮥʑၹᮝಽ2₉ಽࠥಽ

₉ప⇵᳦༉⩶ᮥ}ၽ⦹۵ߑə༊ᱢᯕᯩᮭᮝಽʑ᳕ᩑǍ۵CA₉ ప⇵᳦༉⩶ᨱ Ⅹᱱᮥ ࢱࠥಾ ⦽݅.

ݡȽ༉ࠥಽ฾༉᮹ᝅ⨹ᯕ௝۵1₉ᱢ༊⢽ෝݍᖒ⦹Ł⪝ᰂƱ☖

ඹ᮹✚ᖒᯙa݅ᕽ݅⩥ᔢᮥᖅ໦⦹ʑ᭥⦹ᩍ, Ñ᜽ᱢᮝಽ۵☖ĥ

ྜྷญ⦺ᮥʑၹᮝಽ⦹Łၙ᜽ᱢᮝಽ۵ᯕᔑᱢ᜽Ŗeᮥʑၹᮝಽ

⦹۵Cellular Autoamtaᯕುᮥᯕᬊ⦽CA₉ప⇵᳦༉⩶(Nagel and Schreckenberg, 1992) ᯕ}ၽࡹᨩ݅. ᯕ⬥CA༉⩶ᮡၙǎ᮹

TRANSIMS ⥥ಽ᱾✙ෝ☖⧕ݡȽ༉aಽ฾ᮥၙ᜽ᱢᮝಽ༉᮹ᝅ

⨹⦹۵ߑᖒŖ⦹ᩡᮝ໑, ⩥ᰍ۵ࠦᯝᦥᬑ☁ၹŁᗮࠥಽෝᝅ᜽e ᅕ݅዁ෙᗮࠥಽ༉᮹ᝅ⨹⦹Ł, əᇥᕾđŝෝᯕᬊ⦹ᩍŁᗮࠥಽ

ᰆ௹ᗭ☖ᱶᅕෝᱽŖ⦹۵ᙹᵡʭḡၽᱥ⦹ᩡ݅(OLSIM; www.

autobahn.nrw.de).

CA ₉ప⇵᳦༉⩶ᮡ 1990֥ Ⅹၹᨱ NaSch༉⩶(Nagel and Schereckenberg, 1992)ᯕ ᗭ}ࡽ ᯕ⬥, T

2

༉⩶(Takayasu and Takayasu, 1993), BJM ༉⩶(Benjamin et al., 1996), Krauss༉⩶

(Krauss, 1997), ʑ᳕NaSch༉⩶ᮥᙹᱶ⦽VDR(Velocity Depending Randomization) ༉⩶(Schadschneider and Schre-ckenberg, 1997), MRO(Multi Regime Oriented) ༉⩶(Chang et al., 2005) ॒᮹

݅᧲⦽༉⩶ᯕ}ၽࡹᨩᮝ໑, ✚⯩MRO༉⩶ᮡ⦽ǎࠥಽŖᔍŁᗮ

ࠥಽ᮹ ᝅ᜽e ᰆ௹ Ʊ☖ᔍŁᩢ⨆ᇥᕾᨱ ᱢᬊࡹᨩ݅(Chang et al., 2008).

ǎԕ᮹Ğᬑ, NaSch༉⩶ᮥʑၹᮝಽ໨໨ᩑǍaᙹ⧪ࡹᨩ݅.

Choen and Rho(2001) ᮡŁᗮࠥಽƱ☖ᔍŁᇥᕾᨱNaSch༉⩶ᮥ

ᱢᬊ⦹ᩍᝅ⨹ᱢᮝಽᇥᕾ⦹ᩡᮝ໑, Cho et al. (2001)۵Łᗮࠥಽ

᜽ဍ౩ᯕ░ෝ}ၽ⦹ᩡ݅. Chang and Lee (2003)۵NaSch༉⩶ᮥ

ʑၹᮝಽ₉ప᮹ᱶḡŝᱶᮥŁಅ⦹ᩍ݉ᗮඹ₉ప⇵᳦༉⩶ᮥ}

ၽ⦹Ł, }ၽࡽ༉⩶ᮥ݉ʑ☖⧪᜽eᩩ⊂ᮥ᭥⦽༉᮹ᝅ⨹ᨱᱢᬊ

⦹ᩡ݅. Chang et al. (2004)۵Łᗮࠥಽ᮹݅᧲⦽Ʊ☖ඹ⧪┽ෝ

Ǎ⩥⧁ᙹᯩ۵CAʑၹ₉ప⇵᳦༉⩶ᮥ}ၽ⦹ᩡᮝ໑, Łᗮࠥಽ

Ʊ☖ᔍŁᩢ⨆ᇥᕾᮥ᭥⦽᜽ဍ౩ᯕ░ಽ}ၽࡹᨕ᮹ᔍđᱶ᜽ᜅ▽

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ᮝಽᱢᬊࡹᨩ݅(Chang et al. 2008, Shah et al. 2008). Yoon (2009)۵2₉ಽŁᗮࠥಽ᮹₉ಽᄡĞ༉⩶ᮥ}ၽ⦹Ł₉ಽᯕᬊශ ᮹ ݅᧲⦽ ⩶┽ෝ Ǎ⩥⧁ ᙹ ᯩᮭᮥ ᅕᩡᮝ໑, Yoon (2011)۵

᧲ႊ⨆ᯕ₉ಽࠥಽᨱᱢᬊ⦹ʑ᭥⦽CAʑၹ₉ప༉⩶ᮥ}ၽ⦹Ł

ᯕෝᝅ⨹ᱢᮝಽᇥᕾ⦹ᩡ݅. ᯕ᪡zᯕʑ᳕᮹CAʑၹ₉ప⇵᳦

༉⩶ᮡݡᇡᇥŁᗮࠥಽᱢᬊᮥ᭥⦹ᩍ}ၽࡹᨕ᪵ᮝ໑, ᱡᗮ₉ప ᮝಽᯙ⦽₉పǑŝ₉ప⇵ᬵ⧪┽ෝᅕᯕ۵2₉ಽࠥಽᨱᱢᬊ⦹ʑ

᭥⦽ ₉ప⇵᳦༉⩶᮹ }ၽᮡ ၙ⯂⦽ ᝅᱶᯕ݅.

3. ₉ప⇵᳦༉⩶᮹}ၽ

ᱱᮥᇥᕾ⦹Ł, 2₉ಽࠥಽᱢᬊᮥ᭥⦽₉ప⇵᳦༉⩶᮹}ၽᮥ

ʑᚁ⦹ࠥಾ ⦽݅.

CA ₉ప⇵᳦༉⩶ᮡƱ☖ඹෝ⦹ӹ᮹Complex systemᮝಽᅕ Ł☖ĥྜྷญ⦺(statistical physics)ᮥʑၹᮝಽ}ၽࡹᨩᮝ໑, ₉ప

⇵᳦༉⩶ᮡ᜽ᜅ▽ᮥǍᖒ⦹۵݉᭥~ℕෝǍ⩥⦹۵ᙹ݉ᯕ௝⧁

ᙹ ᯩ݅. ঑௝ᕽ CA₉ప⇵᳦༉⩶ᮡ Ʊ☖ඹ ᜽ᜅ▽ᮥ Ǎᖒ⦹۵

݉᭥~ℕಽᕽeఖ⦹íə⧪┽ෝᖅ໦⦹íࡹ໑, ☖ĥྜྷญ⦺ᱢᮝ ಽ ᱥℕᱢᯙ ᜽ᜅ▽᮹ ⧪┽ ᷪ, Ñ᜽ᱢ Ʊ☖ඹšĥෝ ᖅ໦⦹í

ࡽ݅(Chang et al., 2004).

Fig. 1ᮡCA༉⩶᮹ŖeǍ᳑ၰ₉ప᮹⢽⩥ႊ᜾ᮥᅕᩍᵝŁ

ᯩ݅. ᩑᗮᱢࠥಽŖeᮡ݉᭥ᖡಽǍᇥࡹ໑, ₉పᮡᖡᮥᱱᮁ⦹໕ ᕽjumpping⦹۵ႊ᜾ᮝಽᯕ࠺⦹íࡽ݅. ᖡᮡ₉ప᮹ᱱᮁ᪡

እᱱᮁಽǍᇥࡹ໑, ₉పᗮࠥ(ᖡ/time-step)۵time-step ݚᯕ࠺⦹

۵ ᖡ᮹ }ᙹಽ ⢽⩥ࡽ݅.

ᯕ్⦽CA༉⩶᮹ᯕᔑᱢ᜽Ŗe}ֱᮡ(ᩑᗮᱢ᜽Ŗeᮥᯕᬊ

⦹۵ʑ᳕₉ప⇵᳦༉⩶ᯕᝅᙹᩑᔑᮥᙹ⧪⦹۵ߑእ⦹ᩍ) ᜽Ŗe ŝ₉ప᳕ᰍəญŁᗮࠥෝᱶᙹಽ⢽⩥⦽݅. ᨥၡ⦹íั⦹ᯱ໕, ᩑᗮᱢ᜽Ŗeᮥᯕᬊ⦹۵ʑ᳕₉ప⇵᳦༉⩶᮹᜽eᮡtime-step ᯕᝅᙹ݉᭥ಽǍᇥࡹʑ۵⦹ӹǍᇥࡽtime-stepᮡđǎᯕᔑᱢ

᜽eᯕ໑ᯕ۵CA༉⩶ŝ࠺ᯝ⦹݅. ᩑᗮᱢŖeᮥᯕᬊ⦹۵༉⩶

ᮡ₉ప᮹ᗮࠥ᪡᭥⊹ෝᝅᙹಽᩑᔑ⦹۵ၹ໕, CA༉⩶ᮡᯕᔑᱢ

Ŗeᮥᯕᬊ⦹íࢉᮝಽ₉ప᮹ᗮࠥ᪡᭥⊹ෝᱶᙹ(ᯝၹᱢᮝಽ

₉ప 1ݡ᮹ ᱱᮁŖeᯙ ᖡ᮹ ᱶᙹ႑)ಽ ᩑᔑ⦹í ࡽ݅. ᯕ్⦽

ᯕᔑᱢ᜽Ŗeᮥᯕᬊ⦽᜽e, Ŗe, əญŁ₉ప᮹ᗮࠥᱶᙹ⪵۵

CA༉⩶᮹݉ᱱᯕ໕ᕽⓑᰆᱱᯕ݅. ᯕᔑᱢ᜽Ŗeᨱᕽၙ᜽ᱢᯙ

₉ప᮹⧪┽ෝᱶၡ⦹íᖅ໦⦹ʑ۵ᇩa܆⦹ḡอ, ᩑᔑᙹ⧪ᗮࠥ

᪡ ີ༉ญ ྙᱽෝ ⧕đ⧁ ᙹ ᯩ۵ ᰆᱱᯕ ᯩ݅. ᯕ్⦽ ᰆᱱᮡ

CA ༉⩶ᮥᯕᬊ⦹ᩍݡȽ༉ࠥಽ฾༉᮹ᝅ⨹ᮥa܆⦹í⦹ᩡ݅

(Beckman et al, 1997; Chang et al., 2008).

ᯝၹᱢᮝಽCA₉ప⇵᳦༉⩶ᮡEq.(1)ᨱ᮹⦹ᩍᗮࠥෝđᱶು

ᱢᮝಽ’ᝁ⦽⬥Noise⪶ශᄡᙹ( Ǝ

ƌ

)ᮥᱢᬊ⦹ᩍ}ᄥ₉ప᮹ᗮࠥ

ෝ⪶ශᱢᮝಽqᗮ᜽┅íࡽ݅. đᱶುᱢᗮࠥ᮹’ᝁᮡ ƅ ð Ɣ

ƒ

ᯙ

Ğᬑaᗮ⦹Ł ƅ = Ɣ

ƒ

ᯙĞᬑ ƅ ᮹ᗮࠥಽqᗮੱ۵॒ᗮ⦽݅.

əญŁ ₉ప᮹ ᗮࠥ۵ Ɣ

”ˆŸ

ᮥ Ⅹŝ⧁ ᙹ ᨧ݅.

Ɣ

ƒ âÎ

á ”•ãƔ

ƒ

âÎì ƅì Ɣ

”ˆŸ

ä (1)

Ɣ

ƒ

: ᜽e( ƒ ) ᨱᕽ ₉ప᮹ ᗮࠥ(ᖡ/Ⅹ) Ɣ

ƒ âÎ

: ᜽e( ƒâÎ )ᨱᕽ ₉ప᮹ ᗮࠥ(ᖡ/Ⅹ) Ɣ

”ˆŸ

: ₉ప᮹ ↽ݡᗮࠥ(ᖡ/Ⅹ)

ƅ : ᖁ⧪₉పŝ᮹ እ ᱱᮁ ᖡ }ᙹ(ᖡ)

ᯕᔢ᮹ CA ₉ప⇵᳦༉⩶᮹ ᗮࠥ’ᝁ Ƚ⊺(speed updating rule) ᮡeఖ⦹ḡอÑ᜽ᱢƱ☖ඹšĥෝᬑᙹ⦹íᖅ໦⦽݅. ə్

ӹ ᗮࠥ’ᝁᮡ ၙ᜽ᱢ ⊂໕ᨱᕽ ݉ᱱᮥ aḡŁ ᯩ݅. ƅ ï Ɣ

ƒ

ᯙ

Ğᬑ ᷪ, Ṉᮡ ₉eÑญ ᔢ┽ᨱᕽ đᱶುᱢ ᗮࠥ۵ Ɣ

ƒ âÎ

á ƅ ಽ

’ᝁࡹ໑, ᯝ᳦᮹∊࠭⫭⦝༉⩶᮹✚ᖒᮥaḥ݅. ঑௝ᕽ2₉ಽ

ࠥಽ᮹₉పǑŝ₉ప⇵ᬵᮥၙ᜽ᱢ⧪┽ಽ ᖅ໦⦹۵ߑ⦽ĥෝ

aḥ݅. ℌṙ, ᱡᗮ₉పᮥ⇵᳦⦹۵₉పᮡ༉⩶᮹✚ᖒᔢ ƅ ï Ɣ

ƒ

ᯙ

ĞᬑෝḡᗮᱢᮝಽĞ⨹⦹íࡹŁᯕಽᯙ⦹ᩍᖁ⧪ᱡᗮ₉పᅕ݅

ԏᮡᗮࠥಽᵝ⧪⦹íࡹ۵Ğᬑaḡᗮᱢᮝಽၹᅖࡽ݅. ə్ӹ

ᱡᗮ₉పᮥ⇵᳦⦹۵₉పᮡᯝၹᱢᮝಽᱡᗮ₉ప᮹ᗮࠥෝᮁḡ

⦹໕ᕽ⇵᳦ᮥᙹ⧪⦽݅. ࢹṙ, ᱡᗮ₉పᮥ⇵ᬵ⦹Ł⧕ݚ₉ಽಽ᮹

ᅖȡ᜽⇵ᬵ₉పᮡᯝၹᱢᮝಽᱡᗮ₉ప᮹ᖁࢱಽᅖȡ⦹íࡹ໑, ᯕĞᬑᱡᗮ₉పŝ⇵ᬵᮥ᪥ഭ⦹Ł⧕ݚ₉ಽಽᅖȡ⦽₉పᮡ

ƅ ï Ɣ

ƒ

ᨱᕽၽᔾ⦹۵ᗮࠥɪqᗮ᮹ྙᱽෝ⦝⧁ᙹᨧ݅. ᖬṙ,

₉ప᮹đᱶುᱢᗮࠥ’ᝁᮡᱥᱢᮝಽ ƅ ᨱ᮹᳕⦹íࢉᮝಽᗮࠥ

Ɣ

Ƈ

ð × ᨱᕽ₉ࢱ᜽e( Ɔ

Ƈ

, Ⅹ)ᮡEq.(2)᪡zᯕᔑᱶࢉᮝಽ1.0Ⅹ

ᯕ⦹᮹Ğᬑaၽᔾ⦹ḡᦫ۵݅. ၹ໕ᝅᱽƱ☖ඹ᮹₉ࢱ᜽eᇥ⡍

۵1.0Ⅹᯕ⦹aӹ┡ӹíࡽ݅. ᯕᔢ᮹3aḡ݉ᱱᮝಽᯙ⦹ᩍ

ʑ᳕CA₉ప⇵᳦༉⩶ᮡḢᱲᱢᮝಽ2₉ಽࠥಽᨱᱢᬊ⦹ḡ༜

⦹۵⦽ĥෝaḥ݅. ঑௝ᕽᅙᩑǍᨱᕽ۵ᯕᔢ᮹݉ᱱᮥɚᅖ⧉ᮝ ಽ៉ 2₉ಽ CA₉ప⇵᳦༉⩶ᮥ }ၽ⦹ᩡ݅.

Ɔ

Ƈ

á ãƅ âÎäîƔ

Ƈ

(2)

(4)

3.2 2ఙߦܑߦఙ߆౟ஂࡦ෴Թࢳ

ᅙᩑǍᨱᕽ}ၽࡽCA₉ప⇵᳦༉⩶ᮡNaSch༉⩶(Nagel and Schereckenberg, 1992) ᮥ ɝeᮝಽ }ၽࡹᨩ݅. NaSch༉⩶᮹

Frameworkෝeఖ⯩ᖅ໦⦹໕ⴗᱥႊgap ┱ᔪ, ⴘ(⪶ශᱢᗮࠥ

qᗭෝ☖⦽)ᗮࠥ’ᝁ, ⴙ₉పᯕ࠺᮹3݉ĥಽȽ⊺ᮝಽǍᖒࡹ໑,

༉ु ₉పᨱ ݡ⦹ᩍ ᄲ಍ᱢ ᩑᔑᮥ ᙹ⧪⦽݅.

ᯝၹᱢᮝಽᬕᱥᯱॅᮡ₉ప᮹ᵝ⧪ᗮࠥᨱእ⦹ᩍ₉eÑญa

ԏ޵௝ࠥḡᗮᱢᮝಽᵝ⧪⦹۵✚ᖒᮥḡܭ݅. ᯕäᮡĞ⨹ᱢᮝಽ

ᖁ⧪₉ప᮹ᗮࠥෝᩩ⊂⦹Łᵝ⧪ᮥᙹ⧪⦹ʑভྙᯕ݅. ঑௝ᕽ

ᖁࢱ₉ప᮹ɪ᯲ᜅ౑࠭ၽᔢ⫊ၽᔾ᜽ᩑᘥ⇵࠭ŝzᮡƱ☖ᔍŁ

ෝ⦝⦹ʑ۵ᨕಖ݅. əౝᮝಽᬕᱥᯱ۵ʑ᳕CA༉⩶ᨱᕽᱢᬊ⦹

۵₉eÑญ( ƅ )ᅕ݅ʕŖeᮥᯙ᜾⦹Łᵝ⧪⦽݅Ł⧁ᙹᯩ݅.

ᅙᩑǍᨱᕽ۵ᯕ᪡zᯕྜྷญᱢŖeᮝಽᕽ ƅ aᦥܭᬕᱥᯱa

ᯙḡ⦹۵Ñญಽᕽ⪶ᰆࡽ₉eÑญ(expanded gap, ƅ

ƃ

)ෝ᯦ࠥ⧉

ᮝಽ៉ʑ᳕༉⩶ᨱእ⦹ᩍᅕ݅⩥ᝅᱢᮝಽ₉eÑญෝᖅ໦⦹ࠥ

ಾ}ၽ⦹ᩡ݅. Fig. 1ᮡCA༉⩶᮹ᯕᔑᱢŖeǍ᳑ෝᅕᩍᵝŁ

ᯩᮝ໑, ƅ

ƃ

۵ᖁ⧪₉ప᮹ᗮࠥ( Ɣ

ƒƄ

), ᖁ⧪₉ప᮹gap( ƅ

ƒƄ

) əญŁ

đᱶುᱢᮝಽ⪶ᰆࡽ ƅ

ƃ

᮹qᗭ⪶ශᮥᯕᬊ⦹ᩍĥᔑࡽ݅. ĥᔑࡽ

ƅ

ƃ

۵ ʑ᳕ NaSch༉⩶᮹ ƅ ᩎ⧁ᮥ ᙹ⧪⦹í ࡽ݅.

}ၽࡽ CA₉ప⇵᳦༉⩶ᮡ ⴗᱥႊ₉ప᮹ ᵝ⧪ᔢ┽ෝ Łಅ⦽

expanded gap( ƅ

ƃ

) ᮹ᔑᱶ, ⴘ(⪶ශᱢᗮࠥqᗭෝ☖⦽)ᗮࠥ’ᝁ, ⴙ₉పᯕ࠺᮹ 3݉ĥಽ Ƚ⊺ᮝಽ Ǎᖒࡹ໑, ݅ᮭŝ z݅.

3.2.1 Expanded Gap( ƅ

ƃ

) ॺ୨ If Ɣ

ƒ

ð ׈•‹Ɣ

ƒ

ð ƅ

ƒ

then Randomization

If Ɛ ï Ǝ

ƃ

then

ƅ

ƃ

á ƅ

ƒ

┈Ÿã×ì ”•ãƔ

ƒƄ

ì ƅ

ƒƄ

à Îì Ɣ

”ˆŸƄ

à ÎäàÎä (3)

Else

ƅ

ƃ

á ƅ

ƒ

┈Ÿã×ì ”•ãƔ

ƒƄ

ì ƅ

ƒƄ

à Îì Ɣ

”ˆŸƄ

à Îää (4)

Else

ƅ

ƃ

á ƅ

ƒ

(5)

ƅ

ƒ

: ᜽e( ƒ )ᨱᕽ ⇵᳦₉పŝ ᖁ⧪₉పe᮹ እ ᱱᮁŖe(ᖡ) Ɣ

ƒƄ

: ᖁ⧪₉ప( Ƅ ) ᮹ ᜽e(t)ᨱᕽ ᗮࠥ(ᖡ/Ⅹ)

ƅ

ƒƄ

: ᖁ⧪₉ప( Ƅ )᮹ ᜽e(t)ᨱᕽ ᱥႊ gap(ᖡ) Ɣ

”ˆŸƄ

: ᖁ⧪₉ప( Ƅ ) ᮹ ↽ݡᗮࠥ(ᖡ/Ⅹ) Ǝ

ƃ

: ƅ

ƃ

qᗭ⪶ශ(0.0~1.0)

Ɛ : ӽᙹs(0.0~1.0)

3.2.2 ুܑՁ਑with Randomization If Ɛ ï Ǝ

ƌ

then

Ɣ

ƒ âÎ

á ”ˆŸã×씐•ãƔ

ƒ

ì ƅ

ƃ

à Îì Ɣ

”ˆŸ

à Îää (6)

Else

Ɣ

ƒ âÎ

á ”•ãƔ

ƒ

âÎì ƅ

ƃ

ì Ɣ

”ˆŸ

ä (7)

Ɣ

ƒ

: ᜽e( ƒ )ᨱᕽ ₉ప᮹ ᗮࠥ(ᖡ/Ⅹ) Ɣ

ƒ âÎ

: ᜽e( ƒâÎ ) ᨱᕽ ₉ప᮹ ᗮࠥ(ᖡ/Ⅹ) Ɣ

”ˆŸ

: ₉ప᮹ ↽ݡᗮࠥ(ᖡ/Ⅹ)

Ǝ

ƌ

: Ɣ

ƒ âÎ

qᗮ⪶ශ(0.0~1.0) Ɛ : ӽᙹs(0.0~1.0)

3.2.3 ఙ߆ଲܛ

Ɩ

ƒ âÎ

á Ɩ

ƒ

âƔ

ƒ âÎ

(8)

Ɩ

ƒ

: ᜽e( ƒ ) ᨱᕽ ₉ప᮹ ᭥⊹

Ɩ

ƒ âÎ

: ᜽e( ƒâÎ )ᨱᕽ ₉ప᮹ ᭥⊹

}ၽࡽ ₉ప⇵᳦༉⩶ᨱᕽ ᗮࠥ’ᝁŝ ₉పᯕ࠺ᮡ ʑ᳕᮹

NaSch༉⩶ŝ࠺ᯝ⦹݅. ঑௝ᕽExpanded gap rule(ᯕ⦹EGR)ᨱ

Ⅹᱱᮥ฿⇵ᨕ༉⩶ᮥʑᚁ⦹ࠥಾ⦽݅. EGRᨱᕽđᱶುᱢ ƅ

ƃ

۵

᜽b(t)᮹ᵝᨕḥ᳑Õᨱᕽᖁ⧪₉పᯕ’ᝁ⧁ᙹᯩ۵᜽b(t+1)᮹

↽ᗭᗮࠥ᪡⧕ݚ₉ప ƅ

ƒ

᮹⧊ᯕ݅. ᯕ۵⇵᳦₉పᯕ⧕ݚ₉ప᮹

ƅ

ƒ

ᨱᖁ⧪₉ప᮹’ᝁࡹ۵↽ᗭᗮࠥอⓝእᱱᮁŖeᮥᩑᰆ⧁

ᙹᯩᮭᮥ᮹ၙ⦽݅. əญŁ⇵᳦ᬕᱥᯱ۵’ᝁࡹ۵᜽b(t+1)᮹

↽ᗭ ᗮࠥෝ ᯙḡ⦹۵ ŝᱶᨱᕽ ⠙₉a ၽᔾ⦹í ࡽ݅. ᯕ్⦽

⠙₉۵ ƅ

ƃ

qᗭ⪶ශᄡᙹᯙ Ǝ

ƃ

ᮥᯕᬊ⦹ᩍŁಅ⦹íࡽ݅. ᅙᩑǍᨱ ᕽᱽ᜽ࡽ ƅ

ƃ

۵₉ప᮹ݡᙹa᷾a⧁ᙹಾáᔪŝᩑᔑᯕ᷾a⦹í

ࡽ݅. ঑௝ᕽ Ɣ

ƒ

ð ׈•‹Ɣ

ƒ

ð ƅ

ƒ

ᯙĞᬑᨱ⦽⦹ᩍEGRᮥᱢᬊ⧉

ᮝಽ៉ᩑᔑ᷾aෝ↽ᗭ⪵⧁ᙹᯩ݅. ₉ప᮹ၡࠥ( Ň , 0.0~1.0)a

ᯥĥၡࠥ( Ň

Ɓ

) ᅕ᯲݅ᮡĞᬑEGRᮥᱢᬊ⦹޵௝ࠥᩑᔑࡹ۵₉ప᮹

ݡᙹaᱢʑভྙᨱ༉⩶᮹ᙹ⧪᜽eᨱⓑᩢ⨆ᮥၙ⊹ḡᦫᮝ໑

ฯᮡĞᬑᨱᯩᨕᕽEq.(5)aᱢᬊࡽ݅. əญŁ Ň ð Ň

Ɓ

ᯙĞᬑ⪝ᰂ ᮝಽᯙ⦽ᱶḡ₉పᯕ݅ᙹၽᔾ⧉ᮝಽၡࠥa⪝ᰂၡࠥ( Ň

ƈſƋ

=1.0) ᨱɝᱲ⧁ᙹಾEGR᮹Eq.(3)ŝ(4)ᨱ᮹⦽ᩑᔑ᷾a۵ၽᔾ⦹ḡ

ᦫᮝ໑Eq.(5)aᯕෝݡᝁ⦹íࡽ݅. ঑௝ᕽʑ᳕CA₉ప⇵᳦༉⩶

᮹1₉ᱢ༊⢽ᯙݡȽ༉ࠥಽ฾༉᮹ᝅ⨹ʑ܆ᮥᮁḡ⦹íࡽ݅.

4. }ၽ༉⩶᮹⠪a

4.1 ࡦଭਓ෠ডծ

}ၽ༉⩶ᮡ༉᮹ᝅ⨹ᮥʑၹᮝಽ⠪a⦹ࠥಾ⦽݅. ℌṙ, CA₉

(5)

Fig. 3. Traffic Flow Relationships of Developed Model: Ǝ á ×íÒ

ప⇵᳦༉⩶᮹1₉ᱢ༊⢽ᯙÑ᜽ᱢƱ☖ඹšĥෝ᜽ᜅ▽ŝḡᱱᮝ ಽࠥ⇽⦹ᩍ}ၽ༉⩶᮹Ñ᜽ᱢƱ☖ඹšĥ[Ʊ☖ప-ၡࠥ( Əà Ň ), ᗮࠥ-ၡࠥ( Ƒ à Ň )] ᨱ ݡ⦽ ᰍ⩥ ᱶࠥෝ ⠪a⦹ࠥಾ ⦽݅. ࢹṙ, 2₉ಽࠥಽƱ☖ඹ᮹ᯱᩑၽᔾᱢ⪝ᰂŝa݅ᕽ݅⩥ᔢᮥ₉పȅᱢ

᜽Ŗࠥෝ☖⦹ᩍᇥᕾ⦹ࠥಾ⦽݅. ᖬṙ, NaSch༉⩶ŝ}ၽࡽ༉⩶

᮹₉ࢱ᜽eᇥ⡍ෝᯕᬊ⦹ᩍ₉ࢱ᜽eᖅ໦ᱶࠥෝᇥᕾ⦹ࠥಾ⦽݅.

ᯕᔢ᮹ᇥᕾ༊⢽ෝݍᖒ⦹ʑ᭥⦽༉᮹ᝅ⨹ᮡྕ⦽ᬱ⩶ยⓍᨱ ᕽᙹ⧪⦹ᩡᮝ໑, ݉᭥ᖡʙᯕ(m)۵6.0ᮝಽᖅᱶ⦹ᩡ݅. əญŁ

᜽ᜅ▽᮹Ⓧʑ۵60km( 10,000}ᖡ= 60,000m/6m)ᯕ݅. ʑ⦹Ǎ

᳑۵⠪ḡᯝ₉ಽḢᖁǍeᮝಽᕽᯕᔢᱢ᳑Õᮥอ᳒⦽݅. ༉⩶᮹

ᄡᙹᄥ᜽ӹญ᪅۵݅ᮭŝz݅. ₉ప᮹↽ݡᗮࠥ( Ɣ

”ˆŸ

)=3 ᯕ໑, ʑ᳕༉⩶᮹Ğᬑ99}ၡࠥ᜽ӹญ᪅(0.01~0.99, ᷾aప0.01), Ǝ

ƌ

=71 }᜽ӹญ᪅(0.0~0.7, ᷾aప0.1)ಽᕽⅾ7,029(=99*71)}

᜽ӹญ᪅, }ၽ༉⩶᮹Ğᬑʑ᳕༉⩶ŝ࠺ᯝ⦹ӹ Ǝ

ƃ

=11}᜽ӹญ ᪅(0.0~1.0, ᷾aప0.1)ಽᕽⅾ77,319}(=99*71*11) ᜽ӹญ᪅

ෝ ᇥᕾ⦹ᩡ݅.

4.2 Թࢳࡦ෴ଭඌԧէր

CA ₉ప⇵᳦༉⩶ᮡƱ☖ඹ᜽ᜅ▽ԕ᮹₉పᮥeఖ⦹í༉ᔍ⦹

໕ᕽƱ☖ඹ᮹Ñ᜽ᱢšĥෝᖅ໦⦹ࠥಾᖅĥࡹᨩ݅. ঑௝ᕽ₉ప

⇵᳦༉⩶ᮡ Ñ᜽ᱢ Ʊ☖ඹ šĥෝ ᖅ໦⧕᧝ ⦽݅. Figs. 2 and 3ᮡNaSch༉⩶ŝ}ၽ༉⩶᮹ Ǝ

ƌ

ᨱ঑ෙÑ᜽ᱢšĥ[ Əà Ň , Ƒ à Ň ] šĥෝbbᅕᩍᵝŁᯩ݅. NaSch༉⩶᮹Ğᬑ, Ǝ

ƌ

ᨱ᮹⦹ᩍ᳦⩶

ᯕḡอ݅᧲⦽⩶┽᮹ᯱᮁƱ☖ඹᗮࠥ( Ɣ

ƄƄ

, kph), ᬊప( Ə

Ɓ

á £ÞŇß , 0.0ⴌ Ə

Ɓ

ⴌ1.0, ݡ/Ⅹ), ᬊపᔢ┽᮹ᗮࠥ( Ɣ

Ɓ

, kph), ᯥĥၡࠥ( Ň

Ɓ

, 0.0 ⴌ Ň

Ɓ

ⴌ1.0)a ᖅ໦ࡹŁ ᯩ݅. }ၽ༉⩶᮹ Ğᬑࠥ(NaSch༉⩶ŝ

࠺ᯝ⦽ Ǝ

ƌ

ᨱ ƅ

ƃ

ᮥŁಅ⦹ʑ᭥⦹ᩍ Ǝ

ƃ

=0.5ᯙ᳑Õᯥ), Ǝ

ƌ

᮹ʑ܆ᮡ

࠺ᯝ⦹íᮁḡࡹŁᯩ݅. ݅อ, Ǝ

ƃ

ᮥᱢᬊ⧉ᮝಽ៉NaSch༉⩶᮹

ƅ

ƒ

a ƅ

ƃ

ಽ⪶ᰆࡹ໕ᕽ Ɣ

ƄƄ

᪡ Ə

Ɓ

۵NaSch༉⩶ᨱእ⦹ᩍ׳íӹ┡ӹ Łᯩ݅. Ǝ

ƌ

={0.1, 0.2, 0.3} ᨱݡ⦹ᩍᖙᇡᱢᮝಽᔕ⠕ᅕ໕NaSch

༉⩶᮹Ğᬑ{ Ɣ

ƄƄ

, Ɣ

Ɓ

, Ə

Ɓ

}۵[{62.6, 52.8, 0.584}, {60.4, 48.4, 0.491}, {58.3, 44.8, 0.412}] ᯕ໑, }ၽ༉⩶ᮡ {{62.7, 55.9, 0.615},{60.5, 51.4, 0.519},{58.4, 47.7, 0.436}}ಽ ӹ┡ԍ݅.

Ɣ

ƄƄ

۵ࢱ༉⩶༉ࢱᮁᔍ⦽đŝෝᅕᩡᮝ໑, ᯕ۵ Ň aๅᬑ

ԏᮡ ᔢ┽ᯥᮝಽ }ၽ༉⩶᮹ ƅ

ƃ

ᱢᬊᮥ ᭥⦽ ᳑Õ( Ɣ

ƒ

ð ׈•‹

Ɣ

ƒ

ð ƅ

ƒ

) ᯕอ᳒ࡹ۵ĞᬑaÑ᮹ၽᔾ⦹ḡᦫʑভྙᯕ໑⧊ญᱢ

đŝಽ❱݉ࡽ݅. ঑௝ᕽ Ɣ

ƄƄ

۵Eq.(9)᪡zᯕʑ᳕༉⩶ŝ࠺ᯝ⦹í

ĥᔑᯕ a܆⦹݅(Chang et al., 2004)

Ɣ

ƄƄ

á ÐíÓ\åÞÎ àƎ

ƌ

ß\Ɣ

”ˆŸ

âƎ

ƌ

\ÞƔ

”ˆŸ

à Îßæ (9)

ၹ໕, ᬊపᔢ┽᮹ᗮࠥ( Ɣ

Ɓ

) ۵᧞3kph ᷾a⦹Łᯩᮝ໑, ᯕ۵

Ň

Ɓ

᮹ ᱥ⬥ᨱᕽ EGRᯕ ᱢᬊࡹʑ ভྙᯕ݅.

Ɣ

Ɓ

a᷾a⦹໕ᕽ Ň

Ɓ

۵bb᧞5.8% ᷾a⦹Łᯩ݅. ᯕ۵EGRᮥ

ᱢᬊ⧁ĞᬑNaSch༉⩶᮹ Ǝ

ƌ

ᯕᖅ໦⦹۵ Ə

Ɓ

ᮥəᯕᔢᮝಽᔢ⨆᳑

ᱶ⧁ᙹᯩᮭᮥ᮹ၙ⦽݅. ᯕෝᩩಽॅᯱ໕, NaSch༉⩶᮹Ğᬑ

(6)

Fig. 6. Time-Space Vehicle Trajectory Under Unstable Traffic Flow State

Fig. 7. Time-Space Vehicle Trajectory Under Stable Traffic Flow State Fig. 4. Estimated Traffic Flow Relationships of NaSch Model

Fig. 5. Estimated Traffic Flow Relationships of Developed Model:

Ǝ

ƃ

á ×íÒ

Ǝ

ƌ

=0.2 ᯙĞᬑ[ Ɣ

ƄƄ

, Ə

Ɓ

] ۵[60.4, 0.491]ಽđᱶࡹḡอ, }ၽ༉⩶᮹

Ğᬑ Ǝ

ƃ

ᮥ ᳑ᱶ⦹໕ [60.5, 0.491]~ [60.5, 0.519]ʭḡ ᳑ᱶᯕ

a܆⦹݅. ᷪ, ᯱᮁᗮࠥ60kphᨱᕽᬊపᮥ᧞1,770~1,870᜚ᬊ₉/

᜽ಽ᳑ᱶᯕa܆⦹݅. ঑௝ᕽ Ɣ

ƄƄ

, Ɣ

Ɓ

, Ə

Ɓ

, Ň

Ɓ

ᮥš⊂sᮥᯕᬊ⦹ᩍ

⋝ญቭ౩ᯕᖹ⧉ᨱᯩᨕᰆᱱᮥw۵݅Ł❱݉ࡹ໑, ʑ᳕NaSch༉

⩶᮹ ݉ᱱᮥ ᯝᱶᙹᵡᨱᕽ ɚᅖ⦹ᩡ݅Ł ❱݉ࡽ݅. ⇵aᱢᮝಽ

EGR ᮥᱢᬊ⦹޵௝ࠥNaSch༉⩶ŝ}ၽ༉⩶᮹}ᄥ Ǝ

ƌ

ᨱᕽ Ň

Ɓ

۵

࠺ᯝ⦹݅. ੱ⦽ Ǝ

ƌ

á × ᷪ ʑᩍࠥa 0ᯙ Ğᬑ ᯥĥၡࠥ( Ň

Ɓ

)۵

ÎîÞƔ

”ˆŸ

âÎß ᯕ໑, ࢱ ༉⩶ᮡ ࠺ᯝ⦽ Ñ᜽ᱢ šĥෝ ᅕᯙ݅.

Fig. 4᪡5۵ࢱ༉⩶᮹ၙ᜽ᱢ⧪┽እƱෝ᭥⧕ᖁᱶࡽḡᱱ(ǎ ᇡᱢᯙ) Ʊ☖ඹ᮹Ñ᜽ᱢšĥෝᅕᩍᵝŁᯩ݅. Ə

Ɓ

0.5(1,800 ݡ/᜽)ᯕ໑, NaSch༉⩶᮹ Ǝ

ƌ

=0.19ᯕ໑, }ၽ༉⩶᮹ Ǝ

ƌ

=0.21, Ǝ

ƃ

=0.5 ಽᕽ Ň

Ɓ

0.2ᨱᕽ Ə

Ɓ

0.5(1,800 ݡ/᜽)ෝ ᖅ໦⦹Ł ᯩ݅.

Fig. 6ᮡ NaSch༉⩶ŝ }ၽ༉⩶᮹ ᯱᩑၽᔾᱢ ⪝ᰂ(spon- taneous jam) ŝ ⪝ᰂ ၽᔾᯕ⬥ a݅ᕽ݅ ⩥ᔢᮥ ₉ప ȅᱢ (trajectory) ᜽Ŗࠥෝᯕᬊ⦹ᩍᅕᩍᵝŁᯩ݅(₉ప᮹᜽Ŗeᯕ࠺

ႊ⨆Ⳮ). ࢱ༉⩶༉ࢱ༉᮹ᝅ⨹Ⅹʑ݉ĥᨱᕽǎᇡᱢ⪝ᰂ(jam)ᯕ

ၽᔾ⦹Łᯩᮝ໑, ᜽eᯕĞŝ⧉ᨱ঑௝ᕽǎᇡᱢ⪝ᰂᮡᖒᰆ/ḡᗮ

/ ᗭ໙⦹Łᯩ݅. ঑௝ᕽ}ၽ༉⩶ᮡNaSch༉⩶᮹ᰆᱱᯙᯱᩑၽᔾ

ᱢ⪝ᰂၽᔾ, ⪝ᰂၽᔾᯕ⬥⪝ᰂ᮹ᖒᰆŝᗭ໙, əญŁəŝᱶᨱ

ᕽၽᔾ⦹۵₉ప᮹a݅ᕽ݅⩥ᔢᮥ࠺ᯝ⦹íᖅ໦⦹۵äᮝಽ

(7)

Fig. 8. Characteristics of Headway Distribution: NaSch Model vs.

Developed Model

❱݉ࡽ݅. ⇵aᱢᮝಽ ᅙ ᩑǍ᮹ ༉᮹ᝅ⨹ᮡ Closed boundary systemᨱᕽᙹ⧪ᨱᕽᙹ⧪ࡹᨩᮭᮝಽwide-moving jamᮡၽᔾ

⦹ḡ ᦫŁ ᯩ݅. ə్ӹ ᮁ᯦ŝ ᮁ⇽ᯕ ᇥญࡽ open boundary systemᨱᕽ༉᮹ᝅ⨹ࡹᨩᮥĞᬑ⪝ᰂᮡwide-moving jamᮝಽ

ᖒᰆ⦹í ࡽ݅.

Fig. 7ᮡᦩᱶƱ☖ඹᔢ┽( Ň ï Ň

Ɓ

, Ə 0.4)ᨱᕽ₉ప᮹ȅᱢᮥ

᜽Ŗࠥಽ ᅕᩍᵝŁ ᯩ݅. NaSch༉⩶᮹ ₉eÑญ۵ }ၽ༉⩶ᨱ

እ⦹ᩍᅕ݅Ɂᯝ⦹ӹӹ┡ӹŁᯩᮝ໑, }ၽ༉⩶ᨱእ⦹ᩍ₉eÑ ญ۵ ʙí ӹ┡ӹŁ ᯩ݅. ᯕ۵ 3.1ᨱᕽ ᨙɪ⦽ ƅ

ƒ

᮹ ⦽ĥᯕ݅.

ၹ໕}ၽ༉⩶ᮡNaSch༉⩶᮹݉ᱱᮥᨕ۱ᱶࠥ᪥⪵᜽┅໕ᕽ

₉ప᮹ḲᇥᔑᮥNaSch༉⩶ᨱእ⦹ᩍᅕ݅⧊ญᱢᮝಽᖅ໦⦹

Ł ᯩ݅.

Fig. 8 ᮡ Ň ={0.10, 0.155, 0.240} ᨱᕽࢱ༉⩶᮹₉ࢱ᜽eᇥ⡍

ෝᅕᩍᵝŁᯩ݅(ĥɪ᮹↽ᗭ/↽ݡs(Ⅹ)ᮡbb0.5᪡10.0ᯕ໑, ĥɪ᮹ʙᯕ۵0.5ᯥ, Ɔ

Ɩ

ï Ɔ

Ƈ

= Ɔ

Ɩ

â×íÒ ). ᯕುᱢᮝಽeq.(2)ᨱ

᮹⦹ᩍNaSch༉⩶᮹↽ᗭ₉ࢱ᜽e( Ɔ )۵ ƅ

ƒ

> Ɣ

ƒ

əญŁ Ɣ

ƒ

á Ɣ

ƒ âÎ

ᯝĞᬑ Ɔ ۵1.0Ⅹᯕ⦹aၽᔾ⧁ᙹᨧᮝ໑, Ɣ

ƒ

á Ɣ

ƒ âÎ

á Ɣ

”ˆŸ

᮹ ᳑Õᨱᕽ Ɔ 1.33Ⅹᯕ݅. ၹ໕ }ၽ༉⩶᮹ Ğᬑ ƅ

ƒ

= Ɣ

ƒ

, ƅ

ƃ

ð Ɣ

ƒ

əญŁ Ɣ

ƒ

á Ɣ

ƒ âÎ

ᯙ᳑Õᨱᕽ Ɔ ۵1.0ᯕ⦹aၽᔾ⧕᧝

⦽݅. Ň a᷾a⧉ᨱ঑௝₉ࢱ᜽eᇥ⡍۵0.0Ⅹႊ⨆ᮥ⨆⦹ᩍ

᳭⊂⠙⡍ಽ ⠙ᵲ[Ṏᮡ Ɔ ᮹ ኩࠥ ᷾a, ʕ Ɔ ᮹ ኩࠥ qᗭ]ࡹŁ

ᯩ݅. ə్ӹ NaSch༉⩶᮹ Ğᬑ Ɔ 1.33Ⅹ ᯕ⦹ෝ ᖅ໦⧁ ᙹ

ᨧᮝ໑, Ň a᷾a⦹ᩍࠥ Ɔ =1.33 ᮹᷾aᅕ݅۵ Ɔ =1.67 ŝ2.0᮹

ኩࠥaᔢݡᱢᮝಽ׳íӹ┡ӹŁᯩ݅. ᯕ۵NaSch༉⩶᮹Ğᬑ

ၙ᜽ᱢ ⊂໕ᨱᕽ Ʊ☖ඹ᮹ ⧪┽ෝ ᪽ł⧁ ᙹ ᯩᮭᮥ ᅕᩍᵡ݅.

ၹ໕, }ၽ༉⩶᮹Ğᬑ(EGR᮹ᩎ⧁ᮥ☖⧕) ₉ࢱ᜽eᇥ⡍۵

1.0 Ⅹᯕ⦹ෝᖅ໦⦹Łᯩᮝ໑, Ň a᷾a⧉ᨱ঑௝ᱥ⩶ᱢᯙ₉ࢱ᜽

eᇥ⡍᮹✚Ḷ[Ṏᮡ Ɔ ᮹ኩࠥ᷾a, ʕ Ɔ ᮹ኩࠥqᗭ]ᮥᅕᩍᵝŁ

ᯩ݅. Îí× ï Ɔ

Ƈ

= ÎíÒ ᪡ Ïí× ï Ɔ

Ƈ

= ÏíÒ ᮹ᔢݡᱢᯙኩࠥ᮹₉ᯕ ۵Ⓧí᷾a⦹ḡᦫᮝ໕ᕽ ÎíÒ ï Ɔ

Ƈ

= Ïí× ᮹ኩࠥa᷾a⦹Ł

ᯩ݅. əญŁEGR᮹⪶ශᱢᄡᙹᯙ Ǝ

ƃ

ᮥ᳑ᱶ⦹໕₉ࢱ᜽eᇥ⡍ෝ

ᯝᱶᙹᵡʭḡၙᖙ⦹íᖅ໦⧁ᙹᯩᮭᮥᅕᩍᵡ݅. đǎ, ࠺ᯝ⦽

Ň

Ɓ

ᨱᕽ࠺ᯝ⦽ Ə

Ɓ

ᮥᖅ໦⦹íࢁĞᬑ, Ɔ

Ƈ

= ÏíÒ ᯙኩࠥaNaSch༉

⩶ᨱ እ⦹ᩍ }ၽ༉⩶ᯕ ׳í ӹ┡ӹ໑, ᯕ۵ }ၽ༉⩶᮹ ₉ప

ḲᇥᔑᱶࠥaNaSch༉⩶ᨱእ⦹ᩍⓍíӹ┡ԉᮥ᮹ၙ⦽݅. ঑௝

ᕽᅙᩑǍᨱᕽ}ၽࡽ₉ప⇵᳦༉⩶ᮥ2₉ಽࠥಽ᮹⇵ᬵ༉⩶ŝ

đ⧊⧁Ğᬑ⇵ᬵᮥ᜽ࠥ⦹۵ᬕᱥᯱ۵NaSch༉⩶ᨱእ⦹ᩍᔢݡ ᱢᮝಽฯᮡ⇵ᬵʑ⫭ෝ⪶ᅕ⧁ᙹᯩíࡹ໑, ᯕ۵EGR᮹⪶ශᱢ

ᄡᙹᯙ Ǝ

ƃ

ᮥᯕᬊ⦹ᩍᯝᱶᙹᵡʭḡ༉⩶ᱶᔑᯕa܆⧁äᮝಽ

❱݉ࡽ݅.

5. đುၰ⨆⬥ᩑǍ

ᕽࢱᨱᕽᨙɪ⦹ᩡ݅᜽⦝ǎԕ᮹2₉ಽ᧲ႊ⨆ࠥಽ᮹Ƚ༉ᨱ

ࠥᇩǍ⦹Ł2₉ಽ᧲ႊ⨆₉ప༉⩶ᨱš⦽ᩑǍ۵ၙ⯂⦽ᝅᱶᯕ

݅. ঑௝ᕽᅙᩑǍᨱᕽ۵2₉ಽࠥಽ༉᮹ᝅ⨹ʑ᮹}ၽᨱ⧖ᝍᱢ ᯙ᫵ᗭᯙ2₉ಽࠥಽ₉ప⇵᳦༉⩶ᮥ}ၽ⦹ᩡ݅. }ၽࡽ₉ప⇵

᳦༉⩶ᮡʑ᳕CA₉ప⇵᳦༉⩶᮹⦽ĥෝ⬉ŝᱢᮝಽɚᅖ⦹໕ᕽ

(8)

ᅕ݅⩥ᝅᱢᮝಽ2₉ಽࠥಽƱ☖ඹ᮹✚ᖒᮥᖅ໦⦹ᩡᮝ໑, ə

ᱢᬊa܆ᖒᮥ༉᮹ᝅ⨹ᮥ☖⦹ᩍᖅ໦⦹ᩡ݅. ᅙᩑǍ᮹đುၰ

⨆⬥ᩑǍ۵ ݅ᮭŝ z݅.

ℌṙ, ʑ᳕᮹ NaSch༉⩶ᨱ ᬕᱥᯱ᮹ ᯙḡ ₉eÑญᯙ ƅ

ƃ

ᮥ

EGR Ƚ⊺ŝ ⪶ශᄡᙹ( Ǝ

ƃ

) ᮥ ᯕᬊ⦹ᩍ ⬉ŝᱢᮝಽ ᖅ໦⦹ᩡ݅.

EGRᮡÑ᜽ᱢƱ☖ඹ⊂໕ᨱᕽʑ᳕CA₉ప⇵᳦༉⩶ᯕaḡŁ

ᯩ޹༉⩶ᱶᔑ᮹݉ᱱᮥ(⩥ᝅᱢᯙᯕ₉ಽࠥಽ᮹Ñ᜽ᱢšĥෝ

Łಅ⦹໕) ᔍᝅᔢ ɚᅖ⧁ äᮝಽ ❱݉ࡽ݅.

ࢹṙ, EGRᯕđ⧊ࡽ}ၽ༉⩶ᮡNaSch༉⩶᮹ᰆᱱᯙǎᇡᱢ ᯙ⪝ᰂ᮹ᯱᩑၽᔾ, ǎᇡᱢ⪝ᰂၽᔾᯕ⬥wide-moving jamᮝಽ ᮹⪝ᰂᖒᰆ, əญŁǎᇡᱢᯙ⪝ᰂ᮹ᗭ໙ŝᱶᨱᕽၽᔾ⦹۵

₉ప᮹a݅ᕽ݅⩥ᔢᮥ࠺ᯝ⦹íᖅ໦⦹ᩡ݅. ঑௝ᕽʑ᳕CA₉ ప༉⩶᮹ ᰆᱱᮥ ᮁḡ⧁ ᙹ ᯩᨩ݅.

ᖬṙ, ʑ᳕CA༉⩶ᮡÑ᜽ᱢƱ☖ඹ᜽ᜅ▽᮹Ñ᜽ᱢšĥ᪡

ḡᱱ(local)ᨱᕽÑ᜽ᱢƱ☖ඹšĥෝ⬉ŝᱢᮝಽᰍ⩥⦹ḡอ, ၙ

᜽ᱢ Ʊ☖ඹ ✚ᖒᯙ ₉ࢱ᜽eᇥ⡍ෝ እ⩥ᝅᱢᮝಽ ᖅ໦⦹ᩡ݅.

ၹ໕EGRᯕđ⧊ࡽ}ၽ₉ప⇵᳦༉⩶ᮡᅕ݅⩥ᝅᱢᮝಽ₉ࢱ᜽

eᇥ⡍ෝ ᖅ໦⦹ᩡᮝ໑, ᯕ۵ 2₉ಽ ࠥಽ᮹ ⇵ᬵ⧪┽᪡ ၡᱲ⦽

šಉᯕ ᯩ݅.

֘ṙ, CA₉ప༉⩶ᮡ ݡȽ༉ aಽ฾ᮥ ༉᮹ᝅ⨹⦹ʑ ᭥⦹ᩍ

}ၽࡹᨩ݅. ঑௝ᕽ₉ప༉⩶᮹ᅕ݅⩥ᝅᱢᯙŁಅಽݡȽ༉ࠥಽ

฾ᮥ༉᮹ᝅ⨹⧁ᙹᨧ݅໕CA༉⩶᮹ɝᅙᱢᯙ༊⢽ෝᔢᝅ⦹í

ࡽ݅. ᅙᩑǍᨱᕽ}ၽࡽ₉ప⇵᳦༉⩶ᮡʑ᳕CA₉ప⇵᳦༉⩶ŝ

࠺ᯝ⦽᜽ŖeᮥŁಅ⦹ᩡ݅. əญŁđ⧊ࡽEGR᮹ĞᬑݡȽ༉

ࠥಽ฾᮹ᩑᔑᮥŁಅ⦹ᩍ}ၽࡹᨩ݅. ঑௝ᕽݡȽ༉ࠥಽ฾ᱢᬊ ᯕ௝۵ CA₉ప༉⩶᮹ ᯝ₉ᱢᯙ ʑ܆ᮥ ᮁḡ⧁ ᙹ ᯩᨩ݅.

ᅙᩑǍᨱᕽ۵2₉ಽࠥಽᱢᬊᮥ᭥⦽₉ప⇵᳦༉⩶ᮥ}ၽ⦹

ᩡ݅. ə్ӹ2₉ಽࠥಽ᮹₉పǑŝ⇵ᬵ⧪┽ෝᖅ໦⦹ʑ᭥⧕ᕽ ۵⇵ᬵ༉⩶ŝđ⧊ࡹᨕ᧝⦽݅. ঑௝ᕽ⨆⬥ᩑǍ۵݅ᮭŝz݅.

ℌṙ, ⩥ᰆ᳑ᔍsᮥʑၹᮝಽ2₉ಽƱ☖ඹ᮹✚ᖒ[₉ࢱeĊ

ᇥ⡍, ᯱᮁƱ☖ඹᗮࠥ, ᯥĥၡࠥ, ᯥĥᗮࠥ, a݅ᕽ݅Ʊ☖ඹ᮹

✚ᖒ, ᪅෕สǍeŝԕญสǍeᨱᕽ₉ప᮹qᗮ✚ᖒ॒]ᨱݡ⦽

₉ప⇵᳦༉⩶᮹ᱶᔑᯕᙹ⧪ࡹᨕ᧝⦹໑, ᯕᨱݡ⦽ḡᗮᱢᯙᩑǍ a⦥᫵⦹݅. }ᄥ❭௝ၙ░᮹ᱶᔑᮡእ⪝ᰂƱ☖ඹ᪡⪝ᰂƱ☖ඹ ಽǍᇥ⦹ᩍᙹ⧪ࢁᙹᯩ݅. እ⪝ᰂƱ☖ඹ( Ň = Ň

Ɓ

) ۵ⴗᖡʙᯕ,

↽ݡᗮࠥ( Ɣ

”ˆŸ

), ྕ᯲᭥ᱢqᗮ⪶ශ( Ǝ

ƌ

), EGRᄡᙹᯙ Ǝ

ƃ

ෝᱶᔑ⦹

ᩍእ⪝ᰂƱ☖ඹᔢ┽ᨱᕽᬊప( Ə

Ɓ

), ᯥĥၡࠥ( Ň

Ɓ

), əญŁ₉ࢱ᜽

eᇥ⡍ෝᝅᱽ⊂ᱶsŝᮁᔍ⦹ࠥಾᱶᔑ⦹ᩍ᧝⦹໑, ⴘᱶᔑ᜽

₉పǑ᮹₉ࢱ᜽eᇥ⡍ෝᖅ໦⧁ᙹᯩࠥಾᱶᔑ⧕᧝⦽݅. əญŁ

ⴙ᪅෕ส Ǎeŝ ԕญสǍeᨱᕽ ᬊపŝ ᯥĥၡࠥ, ᯝၹ₉పŝ

ᵲ₉ప᮹ a-qᗮ łᖁᮥ ᖅ໦⦹ࠥಾ ᄡᙹsᮥ ᳑ᱶ⧁ ᙹ ᯩᮥ

äᮝಽ❱݉ࡽ݅. ⪝ᰂƱ☖ඹ( Ň

Ɓ

ï Ň = Îí× )۵ⴗ⪝ᰂ᜽⪝ᰂၡࠥ

ෝ↽ᬑᖁᮝಽᱶᔑ⦽⬥, ⴘၡࠥᄥ Ɣ

”ˆŸ

, Ǝ

ƌ

, əญŁ Ǝ

ƃ

ᮥᱶᔑ⦹ᩍ

ၡࠥᄥᗮࠥෝᖅ໦⧁ᙹᯩࠥಾᱶᔑ⧁ᙹᯩᮝ໑, ᯕভၽᔾ⦹۵

ⴙa݅ᕽ݅⩥ᔢ᮹ᵝ⧪᜽eŝᱶḡ᜽eᇥ⡍ෝᱶᔑ⧕᧝⦽݅.

ࢹṙ, ᖁ⧪ᩑǍ(Yoon, 2011)ᨱᕽ}ၽࡽ2₉ಽࠥಽ⇵ᬵ༉⩶

ŝđ⧊⦹ᩍ₉ప⇵᳦ŝ⇵ᬵᮥ࠺᜽ᨱᖅ໦⦹۵2₉ಽ₉ప༉⩶ᮥ

}ၽ⦹Ł, ₉ప⇵᳦༉⩶ŝ⇵ᬵ༉⩶᮹ᱶᔑᮥ☖⦹ᩍǎԕ2₉ಽ

ࠥಽᨱᱢ⧊⦽༉⩶ᮥ}ၽ⦹ᩍ᧝⧁äᯕ໑, ᯕෝ᭥⧕ᕽ۵ḡᗮᱢ ᯙ ⨆⬥ ᩑǍa ⦥᫵⦹݅.

qᔍ᮹ɡ

ᯕםྙᮡᯙ⃽ݡ⦺Ʊ2012֥ࠥᯱℕᩑǍእ(ǎᱽŖ࠺ᩑǍእ) ḡᬱᨱ ᮹⦹ᩍ ᩑǍࡹᨩᮭ

References

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수치

Fig. 3. Traffic Flow Relationships of Developed Model:  Ǝ á ×íÒప⇵᳦༉⩶᮹1₉ᱢ༊⢽ᯙÑ᜽ᱢƱ☖ඹšĥෝ᜽ᜅ▽ŝḡᱱᮝಽࠥ⇽⦹ᩍ}ၽ༉⩶᮹Ñ᜽ᱢƱ☖ඹšĥ[Ʊ☖ప-ၡࠥ(Əà Ň), ᗮࠥ-ၡࠥ(Ƒ à Ň)]ᨱ ݡ⦽ ᰍ⩥ ᱶࠥෝ ⠪a⦹ࠥಾ ⦽݅
Fig. 6. Time-Space Vehicle Trajectory Under Unstable Traffic Flow  State
Fig. 8. Characteristics of Headway Distribution: NaSch Model vs.

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