Subject Index

Page number refers to the first page of paper

A

A*algorithm,184(6)

accessibility,106(4)

accident severity,197(6)

active and passive safety control measures,178(4)

active safety system,61(1)

activity area identification,143(4)

activity properties identification,143(4)

activity space,103(4)

adaptive iterative learning control,69(2)

adaptive threshold,83(2)

advanced traveler information system,97(4)

Advanced Traveler Information Systems (ATIS),125(3)

affine transformation,91(2)

air pollutant,33(2)

air route network,166(2)

air transportation,198(1),206(1),214(1),33(2),166(2),198(3),206(3),209(4),185(5),22(6),212(6),226(6)

aircraft boarding efficiency,209(4)

airport group system,212(6)

airspace planning,206(3)

AIS data,199(5)

analogy index,28(4)

analytical method,56(5)

ant colony algorithm,188(2),218(5)

Ant-agent,190(1)

area-wide optimal,101(2)

asymmetry preference formation,97(1)

ATIS market penetration,106(6)

atrous spatial pyramid pooling,61(2)

automated driving platoon,91(1)

automated guided vehicle,190(1)

automatic train operation,69(2)

autonomous driving,205(6)

average speed-energy and CO2emission intensity curve,175(3)

B

background subtraction,83(2)

bad driving behavior,183(1)

bat algorithm,157(2)

Bayesian modeling,47(1)

Bayesian stepwise discriminant analysis,222(1)

behavior recognition,40(1),61(3)

behavioral difference,27(1)

behavioral experiment,106(6)

Benders decomposition,191(5)

berth grade,175(1)

Best Worst Method(BWM),28(3)

bi-objective optimization,164(6)

bidding,1(4)

big data of population migration,241(1)

big data,2(1),34(4)

bi-layer BPNN model,127(2)

bilevel programming model,182(3)

bi-level programming models,6(1)

bi-level programming,157(2)

Bi-LSTM,40(1)

bi-objective optimization,188(2)

block optimization method,118(3)

boarding interference,209(4)

boarding model,206(1)

Bow-tie model of traffic accident,178(4)

BP neural network,197(2)

Braess paradox,106(6)

BRT priority control,83(3)

bus accessibility,231(2)

bus dispatching,142(5)

bus driver,175(3)

bus lines,106(4)

bus rapid transit,83(3)

bus route planning,104(1)

bus travel information,143(4)

bus trip,106(4)

bus,127(2),142(5)

C

CAN data,77(4)

capacity demand prediction,206(3)

capacity impact factor(CIF),163(5)

capacity of en-route sector,206(3)

capacity of nodes and links,107(2)

capacity,218(2)

car following model,114(6),146(6)

car ownership,173(4)

car-following behavior,136(6)

car-following model,55(1),67(3)

car-following,240(5)

cargo yard allocation,175(1)

car-hailing services,89(3)

carrying capacity,118(3)

cellular automata,190(3),41(4)

cellular automaton,206(1),209(4),121(5)

center of gravity method,103(4)

chain stores,212(5)

Chaotic time series,198(3)

charging behavior prediction,86(5)

charging facilities,156(6)

children,111(1)

China Railway Express,28(3),7(4)

chi-square test,233(3)

CHMM,40(1)

choice behavior,219(6)

city economic activity,227(5)

classification,219(3)

closure site selection model,156(6)

cluster analysis,83(1),28(3)

clustering,188(2)

CNN,128(5)

collaborative layout,107(2)

collaborative operation,194(4)

collaborative schedule,214(1)

collaborative trajectory options program,226(6)

combined horizontal and vertical alignments,197(6)

combined strategy,1(2)

commuting loss,33(3)

competition,7(4)

complete decomposition model,15(5)

complex network,10(6),198(1),26(2)

conflict resolution,205(6)

congestion dissipation,121(5)

congestion propagation,12(1)

connected and automated vehicle(CAV),37(5)

connected vehicles,114(6)

container shipping,26(2),224(4)

container transport,191(5)

continuous berth scheduling,175(1)

continuous hidden Markov model,61(1)

control algorithm,190(1),56(4)

control strategy,75(3)

convergence factor,197(2)

convolutional neural network(CNN),29(5)

convolutional neural networks,107(5)

cooperative control,121(6)

cooperative scheduling,134(2)

Copula function,20(2)

cost prediction,20(3)

coupled map lattices(CML),12(1)

COVID-19,63(6),84(6)

critical segment,129(6)

cross entropy algorithm,160(1)

cross-regional travel,104(1)

cumulative curve,79(5)

curbside parking occupancy prediction,107(5)

custom bus,104(1)

customer classification,202(4)

customized bus,166(4)

customized travel,111(1)

D

daily operation,177(5)

data analysis,129(6)

data correlation,137(4)

data driving,100(5)

data envelopment analysis,20(3)

data fusion;bus,175(3)

day-to-day traffic assignment,114(2)

day-to-day traffic assignment mode,97(4)

deep learning,48(2),61(2),204(2),40(3),49(4),107(5),128(5)

Deep Neural Network(DNN),40(3)

defensive driving behavior,152(2)

delay demand,137(3)

delay extraction,237(2)

delay time,150(4)

delayed departure,156(3)

demographic characteristics,124(1),71(6)

densely connected network,48(2)

density clustering,169(5)

difference in difference model,19(1)

difference in differences,234(5)

different-floor dispatching,169(3)

directed weighted complex network,163(3)

Dirichlet process mixture model,247(6)

discrete choice model,97(1)

disease spread,30(6)

displaced left-turn,75(3),64(5)

distance bands,19(1)

distance based ticket,148(5)

distributed traffic signal control,76(2)

distribution optimization model,212(5)

distribution prediction,145(1)

distribution statistics,244(4)

dockless bike-sharing,219(3)

dominant trip distance,241(1)

double-difference carrier phase,90(4)

double station,83(3)

driver behavior characteristic,146(6)

driving behavior,61(1),114(5)

driving comfort,240(6)

driving mental load,212(3)

driving styles,139(2)

driving visual,45(5)

dry bulk carrier,21(4)

dual-cycle AGV,216(4)

dynamic boarding strategy,206(1)

dynamic differential pricing,1(5)

dynamic lane grouping,121(6)

dynamic optimal supply,9(5)

dynamic programming,170(6)

dynamic sharing-bike repositioning problem,182(3)

dynamic traffic assignment,1(2)

dynamic traffic distribution,117(1)

E

eco-driving,253(6)

economic growth of cities,144(3)

economic net flow,227(3)

elastic demand,125(3)

elderly,124(1)

electric bus,156(3)

electric vehicle routing problem,218(5)

electric vehicle sharing,136(5)

electric vehicle,100(5)

EM algorithm,91(2)

emergencies,205(5)

emergency guarantee capability,20(2)

emergency resource scheduling,205(5)

emergency vehicle,157(2)

emission factors,8(2)

empirical mode decomposition,198(3)

endurance capacity,156(6)

energy consumption standard,231(4)

energy saving strategy,231(4)

energy saving,170(6)

energy-efficient train coordination,103(3)

ensemble empirical mode decomposition,47(3)

ensemble learning,166(2)

entropy change model,234(1)

entropy weight,139(2)

environmental concern,128(4)

Epsilon-constraint method,6(1)

equilibrium model,212(6)

equilibrium,6(3)

equity,226(6)

evaluation model,8(2)

evolution model of network traffic flow,206(3)

evolution of science and technology,2(6)

excess commuting,234(1)

existing railway station,21(5)

expressway,56(4)

extended belief rule-base,20(3)

extreme learning machine,198(3)

F

factor analysis,130(1),183(1),20(2)

family attribute,227(3)

family travel behavior,77(6)

fare,148(5)

fast charging behavior,86(5)

fatigue detection,77(4)

feature pyramid networks,61(2)

fine division of traffic state,83(1)

flexible parking incentive mechanism,1(4)

flexible scheduling flexible scheduling,156(3)

flexible working arrangement,1(2)

flight delays,185(5)

flight operation risk,198(1),198(3)

floating car,137(1)

fluctuation patterns,26(2)

follow-up survey,152(2)

forecasting volume model,21(5)

foreground detection,83(2)

foreign body intrusion of railway,83(2)

foreign object detection,91(2)

formation reconfiguration,211(2)

free-floating bike-sharing system,182(3)

freight index,26(2)

freight modelling,27(1)

freight vehicles,253(6)

frequency domain feature,84(4)

fresh distribution,218(5)

freshness,218(5)

fuel economy,253(6)

fuel efficiency,253(6)

fuel flow method,33(2)

fuzzy C-means algorithm,183(1)

fuzzy C-means clustering,166(2)

G

game theory,76(2),7(4)

gate assignment,185(5)

Gaussian mixture model,61(1)

general aviation,214(1)

general cargo terminal,175(1)

general equilibrium model,33(3)

generalized travel cost,38(6)

genetic algorithm,152(1),166(1),134(2),174(2),156(3),21(4),84(4),194(4),202(4),216(4),205(6),226(6)

geocoding,169(5)

geographically weighted regression(GWR),14(3)

geographically weighted regression model,227(5)

GPS trajectory data,84(4)

GPS trajectory,163(3)

gradient boosting decision tree,173(4)

graph convolutional network,49(4)

group dynamics theory,219(6)

guide sign,184(6)

H

hazardous materials transportation,183(1)

headway,118(3)

heart rate variability,212(3)

helical bridge,212(3)

Herfindahl-Hirschman Index(HHI),219(3)

heterogeneity of demand,28(3)

heterogeneity,122(2),191(6)

heterogeneous traffic flow,114(6)

heuristic algorithm,166(4)

hierarchical delay layout,156(6)

hierarchical distribution,101(2)

hierarchical nodes,107(2)

hierarchical solving method,175(1)

hierarchical,34(4)

high resolution,68(1)

high-speed railway station,118(3)

high-occupancy lane,150(3)

high-speed railway parallel trains,1(5)

high-speed railway passenger fares,6(1)

high-speed train,69(2)

highway transportation,183(1),55(2),233(3),28(4),197(6),253(6)

hot spot detection,231(2)

HSV color model,45(5)

Huangpu River channel,199(5)

hub port location,1(3)

hub port transshipment,21(4)

hub taxi pooling,188(2)

hybrid choice model,111(1)

hybrid deep learning,47(3)

I

identification method,129(6)

identification of travel dependence,137(4)

IGA,41(2)

impact on carbon emission,8(2)

implementation phase,19(1)

import and export trade,48(6)

improved A*algorithm,22(6)

improved adaptive genetic algorithm,111(3)

improved harmony search algorithm,107(2)

improved label-setting algorithm,181(2)

improved MOG-LRMF,91(2)

improved SIR model,198(1)

improved statistical methods,28(4)

industrial transfer,15(5)

inefficiency,125(3)

inertial weight,197(2)

inferring land use type,29(5)

influence factor,51(5)

influence threshold,12(1)

influencing factors analysis,86(5)

Infomap algorithm,163(3)

information accuracy,97(4)

information calculation,45(5)

information release,72(5)

information technology,68(1),83(2),91(2)

integer programming,160(1),13(2),130(3),169(3)

integrate transportation,15(5)

integrated optimization,164(6)

integrated scheduling,20(3),40(3),47(3),61(3),96(3),111(3),227(3),41(4),49(4),77(4),84(4),119(4),143(4),216(4),233(6)

integrated transportation,27(1),241(1),21(5),2(6),10(6),38(6),57(6)

intelligent button,55(2)

intelligent traffic,117(1)

intelligent transportation,33(1),61(1),75(1),137(1),190(1),228(1),48(2),76(2),101(2),139(2),197(2),204(2),211(2),37(5),51(5),72(5),93(5),107(5),178(6),205(6)

intelligent vehicles,61(3)

intention prediction,40(1)

interchange capacity,163(5)

intersection image,75(1)

intersection,121(6),205(6)

interval fuzzy number,225(2)

intervention analysis,84(6)

in-vehicle crowding,122(2)

K

Kaplan-Meier method,55(1)

key nodes,20(2)

Kruskal-Wallis significance test,236(4)

L

land use,51(5)

lane changing characteristic,218(2)

lane changing decision,41(4)

lane changing identification,61(1)

lane type setting,152(1)

lane utilization,218(2)

lane-changing decision,139(2)

lane-changing model,114(5)

large-scale road network,93(5)

Latent Dirichlet Allocation(LDA),89(3)

latent-class conditional Logit model,122(2)

lattice hydrodynamic model,119(4)

left-turn bus priority,79(5)

line plan optimization for high-speed trains,160(1)

linear mixed integer programming,191(5)

load characteristics,240(5)

Logistic regression,86(5)

logistics engineering,107(2),202(4),212(5)

logistics network simplification,107(2)

logistics UAV,22(6)

Logit model,117(1),71(6),106(6)

Long Short-Term Memory(LSTM)network,54(3)

long short term memory,107(5)

longitudinal decision-making,61(3)

loops,181(2)

LSTM neural network,137(1)

Lyapunov function,69(2)

M

M/Ek/1(N)mode,150(4)

macro data analysis,48(6)

macroscopic fundamental diagram,91(6)

manufacturing transfer,48(6)

map matching,47(1)

marginal effect,197(6)

matching,68(1)

mathematical statistics,240(5)

mediator effect,128(4)

method of Spearman correlation coefficient,198(1)

metro card-swiping data,128(5)

metro network,14(4)

minimum description length,156(5)

minimum headway,170(6)

MINMAX method,1(3)

mixed integer programming,174(2),181(2)

mixed Logit models,228(1)

mixed traffic equilibrium assignment,125(3)

mixed traffic flow,67(3),37(5)

mixed-integer nonlinear programming,233(6)

mobile phone data,247(6)

mobile phone operation,236(4)

mobility pattern,219(3)

mobility,30(6)

MobilNet,48(2)

modal choice,27(1)

mode share,241(1)

model fusion,100(5)

model of deterioration,156(5)

modeling of time delay,54(3)

Monte Carlo algorithm,137(3)

Moran scatterplot,244(4)

Moran's I,14(3)

mountainous cities,163(5)

mountainous highway,45(5)

movement patterns,61(3)

moving baseline,90(4)

multi-Agent negotiation,214(1)

multi-agent reinforcement learning,76(2)

multi-agent simulation,182(3),30(6)

multi-class users,150(3)

multi-lane cellular automaton,139(2)

multilevel coordinate signal contro,56(4)

multilevel public transportation,134(2)

multilevel structural equation model,219(6)

multi-mark,68(1)

Multinominal Logit(MNL)model,136(5)

multi-objective optimization,166(4),148(5),185(5),226(6)

multi-objective pricing,6(1)

multi-operators,142(5)

multiple fixed effects regression,253(6)

multiple lanes diverging area,114(5)

multiple regression model,51(5)

multiple regression,240(6)

multiple traveling salesman problem,205(5)

multi-ramp coordination,101(2)

multi-source data fusion,56(5)

multi-source data,83(1)

multi-trip,166(1)

multi-vehicle cooperative driving,205(6)

N

naturalistic driving test,212(3)

network average efficiency,14(4)

network efficiency,114(2)

network traffic flow,97(4)

Newell model,136(6)

next generation of the column control system(NGTC),90(4)

non-professional drivers,152(2)

non-aggregate theory,227(3),57(6)

non-linear dynamics,97(4)

nonlinear programming,41(2),64(5)

NSGA-Ⅱ,185(5)

NSGA-Ⅱalgorithm,142(5)

numerical simulation,91(1),76(2)

O

O2O,212(5)

OD estimation,145(1)

offshoring and reshoring,48(6)

on-ramp,119(4)

operating strategies,6(3)

optimal control,9(5)

optimal velocity function,71(4)

optimization model,75(3)

optimization of train stops,174(2)

optimum driving strategy,170(6)

order splitting,212(5)

overlapping interval,142(5)

P

packing algorithm,166(1)

panel data,163(5)

panel regression model,99(6)

parallel flow intersection,75(3),64(5)

parameter optimization,55(1)

Pareto frontier,6(1)

parking permit,9(5)

parking space allocation,137(3)

particle swarm algorithm,103(3)

passenger car,233(3)

passenger flow guidance,72(5)

passenger flow,12(1),103(3)

passenger traffic mode,241(1)

passenger transport market,38(6)

path analysis,222(1)

path conflict,190(1)

path planning,22(6),184(6)

PC-crash,222(1)

peak congestion,13(2)

peak,33(2)

pedestrian crossing,64(5)

pedestrian evacuation,190(3)

pedestrian influence,71(4)

penalty coefficient,130(3),184(6)

performance indices,96(3)

perimeter control,91(6)

perimeter intrusion detection,61(2)

periodic line plan,160(1)

polynomial filtering,101(2)

pooling cooperation,21(4)

port development,48(6)

port,144(3)

precipitation,137(1)

prediction analysis,33(2)

prediction of driving mileage,100(5)

predictive effect,119(4)

PrefixSpan algorithm,178(6)

pre-peak discount pricing,13(2)

pre-sequence state,127(2)

pre-signals,79(5)

price,7(4)

private electric vehicle,86(5)

probability distribution,224(4)

probability theory,150(4)

property value,19(1)

PSM-DID,234(5)

psychological factor,124(1),71(6)

public health emergencies,57(6)

public parking facility,9(5)

public transit corridor,34(4)

public transit,158(4)

public transport passengers,178(6)

public transportation bike,134(2)

public transportation,145(2)

pull-out bus stop,150(4)

push-force,190(3)

Q

Q-learning,72(5)

queue discharge,67(3)

queueing process,33(1)

queuing theory,152(1)

quota evaluation,231(4)

R

rail transit line linking town to town,19(1)

rail transit,12(1),14(3),187(4)

railway transportation,6(1),47(1),160(1),61(2),69(2),174(2),28(3),118(3),7(4),90(4),194(4),1(5),156(5),177(5),191(5),164(6),170(6)

rainfall events,244(4)

random forest,77(4)

random parameters Logit model,124(1)

random regret minimization,191(6)

random utility maximization,191(6)

real-time delivery,202(4)

recognition model,37(5)

recovery strategy,14(4)

refueling scheme,233(6)

regression analysis,145(1)

regularity,219(3)

reinforcement learning,104(1),72(5)

relative importance,173(4)

renting and allocation model,130(3)

repair sequence,14(4)

resident travel characteristics,56(5)

residential satisfaction,130(1)

residual learning,93(5)

residual traffic capacity,21(5)

residual U-Net,93(5)

resilience achievement worth,114(2)

resilience evaluation,14(4)

resilience reduction worth,114(2)

resilience,114(2)

ResNet,128(5)

resources allocation optimization,226(6)

response delay time,55(1)

revenue management,1(5)

reverse variable lane,63(4)

ride-haling services,234(5)

ridesharing,228(1)

right turn car-following model,71(4)

right turning vehicle,71(4)

risk assessment,63(6)

risk prediction,198(3)

road deadlock,190(1)

road extraction,68(1)

road network,145(1)

road passenger transport,99(6)

road transportation system,114(2)

roadside accidents,222(1)

robust modeling,156(5)

route design,166(4)

route guidance,117(1)

route-choice behavior model,106(6)

routing optimization,111(3)

rule reliability,20(3)

rules,224(4)

S

same-floor dispatching,169(3)

scheduling decision,157(2)

scheduling mode,169(3)

school travel mode choice,111(1)

seating facilities,209(4)

secondary highway at mountain area,240(6)

self-organized equilibrium,136(5)

semi-supervised hash,75(1)

sensor fusion,47(1)

sequence mining,178(6)

service area division,205(5)

shared autonomous vehicle,6(3)

shared autonomous vehicles,228(1)

shared parking,1(4),130(3)

ship operational characteristics,199(5)

short-term traffic prediction,49(4)

short weaving area,41(4)

shortest path of EV,181(2)

short-term traffic flow forecasting,204(2)

short-term traffic flow prediction,117(1)

short-time passenger volume prediction,128(5)

short-time traffic flow forecast,197(2)

signal timing,63(4)

signalized intersection,237(2),67(3),63(4),71(4)

silhouette coefficient,169(5)

similarity,178(6)

simulated annealing algorithm,63(4),1(5),177(5)

simulation analysis,56(4)

simulation model,121(5)

simulation,224(4)

smart card data,234(1)

snow and ice conditions,146(6)

social entertainment,236(4)

social interaction,148(5)

sociology of time,77(6)

space-time constraints,211(2)

spatial characteristics,227(5)

spatial differentiation,14(3)

spatial econometric models,144(3)

spatial spillover,144(3)

spatiotemporal boundary conditions,117(1)

spatio-temporal characteristics of traffic flow,244(4)

speed characteristic,218(2)

speed guidance and signal timing,83(3)

speed limit,222(1)

speed optimization,233(6)

speed prediction,47(3)

stability analysis,114(6)

stability,91(1),119(4)

staggered shifts,30(6)

stampede,190(3)

standing passenger density,225(2)

standing time,225(2)

stated preference experiments,97(1)

station-city integration,22(5)

stereoscopic bus depot,169(3)

stochastic behavior,10(5)

stochastic characteristics,136(6)

stratified COX model,55(1)

structural equation model,130(1)

structural equation modeling,158(4)

subsidy,7(4)

subway distribution,111(3)

sudden passenger flow,121(5)

superblocks,91(6)

superhighway,55(2)

supply of bus,231(2)

support vector machine,84(4),84(6)

surrogate measure,240(5)

survival analysis theory,1(4)

Swap-body vehicle routing problem,166(1)

system engineering,137(3)

system optimum,150(3)

systems complexity,10(6)

T

tabu search,136(5)

task difficulty balance theory,146(6)

technical stations,194(4)

the 14th five-year plan,2(6)

the elderly,71(6)

theory of planned behavior,152(2),219(6)

theory of planning behavior,128(4)

ticket sales data,99(6)

time geography,103(4)

time series,204(2)

time threshold,206(1)

time window,166(1)

time windows,111(3)

time-dependent parking charges,1(2)

time-space diagram,114(5)

timetable,103(3)

time-to-collision,240(5)

time-varying traffic,218(5)

tolerance,225(2)

toll station,152(1)

topic model,99(6)

track irregularity,156(5)

track occupancy identification,47(1)

track prediction,61(3)

track vertical alignment,187(4)

tracking error,69(2)

traffic accessibility,227(5)

traffic aerial video,40(3)

traffic analysis zone(TAZ),29(5)

traffic analysis zones(TAZ)division,34(4)

traffic capacity,199(5)

traffic characteristic,218(2)

traffic congestion status identification,166(2)

traffic congestion,8(2)

traffic control zone,218(2)

traffic data recovery,93(5)

traffic data,96(3)

traffic demand management,150(3),77(6)

traffic demand,121(6)

traffic engineering,40(1),55(1),91(1),104(1),111(1),152(1),222(1),13(2),114(2),152(2),188(2),218(2),237(2),67(3),75(3),14(4),63(4),150(4),173(4),178(4),236(4),244(4),9(5),45(5),64(5),79(5),114(5),136(5),148(5),205(5),240(5),63(6),99(6),106(6),114(6),136(6),146(6),156(6),184(6),191(6),240(6)

traffic evacuation,157(2)

traffic flow fuel consumption,91(1)

traffic flow prediction,54(3)

traffic flow,47(3)

traffic parameters,33(1)

traffic safety,2(1),55(2),169(5),84(6)

traffic sign detection,48(2)

traffic state evolution analysis,83(1)

traffic status prediction,40(3)

traffic status recognition,75(1)

traffic structure,38(6)

traffic volume of regional road network,28(4)

train control,164(6)

train energy consumption,187(4)

train formation plan,177(5)

train integrity monitoring,90(4)

train rescheduling,164(6)

train stop plan,174(2)

train timetable,191(5)

train,170(6)

trajectory data,136(6)

trajectory reconstruction,237(2)

trajectory similarity measuring,188(2)

tramp containership scheduling,41(2)

tramp ship,233(6)

transformed grey wolf optimizer algorithm (TGWO),197(2)

transit loyalty,158(4)

transit rider,158(4)

transit-oriented-development(TOD),14(3)

transport speed,38(6)

transportation demand decomposition,15(5)

transportation demand identification and

forecasting,89(3)

transportation economy,166(1)

transportation equity,33(3)

transportation infrastructure,51(5)

transportation mode recognition,84(4)

transportation network,10(6)

transportation resource allocation,2(6)

transportation resources matching,214(1)

transportation service,2(1)

transportation strategy,2(6)

transportation systems engineering,10(6)

transportation technology,2(1)

transshipment,41(2)

travel behavior analysis,191(6)

travel behavior model,63(6)

travel behavior of public transport,137(4)

travel behavior,103(4),71(6)

travel characteristics,143(4),247(6)

travel choice,128(4)

travel environment,130(1)

travel intensity,51(5)

travel mode choice,228(1)

travel mode selection,57(6)

travel mode,227(3)

travel patterns,29(5)

travel time prediction,127(2)

travel time,137(1),129(6)

triangle fuzzy number,178(4)

trip purpose inference,99(6)

turnover volume of freight traffic,28(4)

two-stage model,197(6)

two-mode problem,6(3)

two-stage opportunity model,106(4)

two-step clustering model,137(4)

two-way search strategy,22(6)

U

uncertain bi-level programming model,145(2)

uncertainty theory,145(2)

uncertainty,1(3)

unconventional arterial intersection design,75(3)

unconventional arterial intersection,64(5)

unified speed-acceleration distribution,233(3)

unit problem,234(1)

unmanned ground vehicle swarm,211(2)

urban arterial road,178(4)

urban elderly,77(6)

urban external transport,241(1)

urban freeway,101(2)

urban intersection,33(1)

urban rail transit station,231(4)

urban rail transit,13(2)

urban road network under unbalanced demand,76(2)

urban road network,49(4),91(6)

urban space equilibrium,33(3)

urban space,163(3)

urban traffic control,96(3)

urban traffic,2(1),12(1),19(1),83(1),97(1),124(1),130(1),145(1),234(1),1(2),8(2),122(2),127(2),134(2),145(2),157(2),181(2),225(2),231(2),6(3),14(3),33(3),54(3),83(3),89(3),103(3),125(3),130(3),150(3),156(3),163(3),169(3),175(3),182(3),190(3),212(3),219(3),1(4),34(4),56(4),71(4),97(4),103(4),106(4),128(4),137(4),158(4),166(4),187(4),231(4),29(5),56(5),86(5),100(5),121(5),128(5),142(5),163(5),169(5),218(5),227(5),234(5),30(6),71(6),77(6),84(6),91(6),121(6),129(6),219(6),247(6)

use of public transport,234(5)

user equilibrium,150(3)

utility function,38(6)

V

V2V/V2I,114(6)

value of time,27(1),122(2)

variable bus lane,79(5)

variational inequality,125(3),212(6)

vehicle allocation,145(2)

vehicle headlights intention(VHI),37(5)

vehicle relocation optimization,136(5)

vehicle routing problem,202(4)

vehicle running critical point,237(2)

vehicle trajectory reconstruction,33(1)

ventilation shaft cost,187(4)

vertical alignment,240(6)

video analysis,71(4)

video intelligent analysis,61(2)

virtual orbit,55(2)

visual parameters,236(4)

visual psychological load,45(5)

W

wagon-flow allocation,194(4)

wagon-flow organization,177(5)

waiting time,225(2)

walking time,124(1)

waterway transportation,175(1),20(2),26(2),41(2),1(3),144(3),21(4),224(4),199(5),48(6),233(6)

wavelet analysis,84(6)

weighting factor,233(3)

western comprehensive transportation system,15(5)

wide-area induced model,117(1)

willingness to accept,97(1)

willingness to pay,97(1)

workplace built environment,173(4)

Y

yard crane,216(4)

Z

Zipf's law,145(1)

zoning modeling,41(4)

3D Convolutional Neural Network (3DCNN),40(3)