22
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Page 1: References978-3-662-00773... · 2017. 8. 25. · Lafortune S., Sengupta R., Kaufman D.E. and Smith R.L. 1991. A Dynamic System Model for Traffic Assignment in Networks. Vehicle Navigation

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Subject Index

AHS,361

Algorithm, 74

bisection, 76

diagonalization/relaxation, 80, 125, 154

DYNAS'rOCH1,184 DYNASTOCH2,188

Frank-Wolfe, 77, 125, 154

golden section, 76

penalty, 152

Arrival time choice, 210, 293

bonus or penalty for early or late arrival, 210

Arterial links, 344

Artificial, 126

origins, 126

links, 127

Assignment

all-or-nothing, 124 incremental, 126 logit-based flow-independent

route, 185, 189

ATIS,3

ATMS,3

AVI,329

Backward pass, 184, 189

Bilevel programs, 47

for departure time/route choice, 208

follower problem, 45

leader problem, 45

lower level problem, 209, 231

optimal control, 47, 211, 231

upper level problem, 211, 233

Bang-Bang control, 31

BPR function, 341

Bonus/penalty, 210

Boundary conditions, 23

Capacity, 93

Complementarity problem, 71

Compliance of drivers, 173

Congestion pricing, 359

various strategies, 328

toll based instantaneous DUO, 331

toll based ideal DUO, 333

Control, 5

feedback, 22

total, 5

partial, 6

variables, 18, 83

Constraints, 83

equilibrating actual route travel times, 145

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378

for departure time/route choice, 211,293

for departure time/mode/route choice, 234

for discrete ideal SDUO route choice, 196

for discrete instantaneous route choice, 120

for discrete instantaneous SDUO route choice, 193

for DSO route choice, 315

for ideal route choice, 141, 143, 149, 269, 273

for ideal SDUO route choice, 173, 175,177

for instantaneous route choice, 103, 245, 251

for instantaneous SDUO route choice, 165

for mean actual route travel times, 175

Convex combination (see Frank­Wolfe algorithm)

Convergence test, 125

Costate equation, 215

Cray, 134

Cumulative number of vehicles, 85

entering, 88

exiting, 85, 88

arriving, 142

departing, 142

Data, 362

O-D matrices, 362

network geometry, 353

traffic flow, 354

travel characteristics, 354

Decision node, 101, 172

Decompose, 123

Definitions of travel times, 86, 163

deterministic, 86

perceived, 163

Delay function, 343

queuing delay, 345

stop delay, 345

Subject Index

uniform delay, 345

oversaturation delay, 345

Departure flow pattern, 219

initial, 219

improved, 219

Departure time choice, 209

bilevel program, 207

two-stage model, 234

variational inequality, 291

DSO route choice, 321

route choice controller, 208

departure time coordinator, 208

waiting time, 209

driving time, 209

desired arrival time interval, 209

Departure time/route choice, 205

Departure time/mode/route choice, 225

stratification of travelers, 227

two-stage model, 227

time interval and time period, 227

highway network, 229

transit network, 229

first stage, 230

second stage, 231

operating cost, 232, 250

Dispersed route choice, 179

Dispersion parameter, 165

Diagonalization technique, 80, 125, 154

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Subject Index

Direction-finding, 125

Disutility functions, 297

early or late arrival, 209

for departure time choice, 210

for transit, 230

for auto, 230

scaling parameter, 231

Dynamic network models, 6

Dynamic process, 18

Dynamic route choice models, 103, 110, 112, 120, 141, 243, 267

Dynamic route guidance, 3

Dynamic traffic assignment, 103, 110, 112, 120, 141, 243, 267

Dynamic travel choice models, 12, 225

Dynamic User-Optimal (DUO), 103, 110, 112, 120, 141, 243, 267

instantaneous route choice, 103, 110, 112, 120, 243

ideal route choice, 141, 267

departure time/route choice, 210, 291

departure time/mode/route choice, 225

Dynamic system, 18

Dynamic System-Optimal (DSO), 313

objective functions, 313

total travel time minimization, 315

route choice with elastic depar­ture times, 321

congestion pricing, 328

congestion level, 315

Enumerating routes, 144, 181, 252

Entropy functions, 169

379

Equality and inequality constraints, 28

Equivalence analysis, 108

Equivalent single level program, 214, 240

Estimated travel time, 90, 120, 167

Evacuation problems, 326

Example networks, 91, 100, 146, 253

Exit flow, 7, 9

variable, 9, 10

function, 7

FeaSible region, 60

Feedback control, 22

First-in-first-out (FIFO), 90

Flow conservation, 83

link, 84

node, 84

origin node, 85

destination node, 85

Flow-dependent, 181

Flow-independent, 181

Flow propagation, 87, i05, 223

type I, 88

type II, 89

Follower problem, 45

Forward pass, 184, 189

Frank-Wolfe algorithm, 77, 120

step size, 77

descent direction, 77

Freeway segment, 349

Games, 43

dynamic, 44 Nash,44

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380

static, 43

Stackelberg, 43

Gradient, 59

Gumbel distribution, 176

Hamiltonian, 23

Hessian matrix, 60

Hierarchy of dynamic route choice models, 9

Hierarchy of dynamic travel choice models, 12

HOV, 354

Ideal DUO, 141

travel-tirne-based, 143 travel-cost-based, 273

Ideal SDUO, 173

Incident management, 357

Inflow, 83

Instantaneous DUO, 101

link-time-based, 103

link-cost-based, 260

route-time-based, 244

route-cost-based, 250

Instantaneous SDUO, 167

Instantaneous travel time, 86

instantaneous link travel time, 86 instantaneous route travel time,

86 minimal instantaneous route

travel time, 86

Intersection, 36

Isoperimetric O-D departure condi­tion, 322

Iteration, 124

inner iteration, 124 outer iteration, 124

IVHS, 1,353

AHS, 361

APTS ATIS, 3

ATMS, 3

Subject Index

implementation issues, 353

data requirements, 362

Jacobian matrix, 286

Karush-Kuhn-Tucker conditions, 62

Lagrange multiplier, 23

Lagrangian, 61

Leader problem, 45

Likelihood of link usage, 185, 189

Line search, 124

Linear programming, 62

Linear regulator, 24

Link capacity, 93

maximal number of vehicles, 93

maximal exit flow rate, 94

Link travel time functions, 86, 337

cruise time, 338, 342

queuing delay, 339

Greenshields formula, 341 Akcelik's formula, 345

Local minimum, 60

Logit route choice, 166

Logit-type SDUO, 161, 181

Lower level problem, 208, 231, 357

'Mathematical programming, 59

unconstrained minimization, 59

nonlinear program, 60, 63, 64

bilevel, 65

Main problem variables, 121

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Subject Index

Mean instantaneous travel times, 163

Mean actual travel times, 164

Method of successive averages (MSA),194

Minimal-cost route search, 124

flow propagation constraints in, 133

expanded time-space network, 126

feasible subroute, 133

cost adjustment, 133

Minimal travel time, 109, 144

instantaneous, 109

actual,144

Mode choice, 225

Multi-group models, 249, 259, 274, 281

instantaneous route choice, 249, 259

ideal route choice, 274, 281

Multi-group travelers, 227, 355

by income and age, 227

by route diversion willingness, 249

by driving behavior, 250

by travel choice criteria, 355

Network flow constraints, 83

Necessary conditions, 23

Network data, 363

geometry, 363 control, 363

conservation, 83 propagation, 87

FIFO, 90 capacity, 93

oversaturation, 94

Number of vehicles, 83

Objective function, 20

Operating cost, 232, 250

381

Optimal control problem, 17, 53, 103, 149, 165, 177

bilevel, 47

closed-loop, 22

continuous, 22

discrete, 54

fixed end, 23, 28, 40, 54

free end, 27, 30, 41

hierarchical, 42

open-loop, 22

O-D, 114, 136, 219

One-dimensional search, 75, 125

Optimality conditions, 111, 169, 213, 237

Optimization problem, 69

Oversaturation, 93

spill back constraints, 94

Parallel routes, 99

Parameters, 114

of link travel time function, 114

for departure time choice, 210 for mode choice, 230

Penalty, 116

Penalty for late arrival, 210

Penalty method, 152

Perceived actual travel times, 164

Perceived instantaneous travel times, 163

Performance measure, 20

Perfect information, 143

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382

Pontryagin's Minimum (or Maxi­mum) Principle, 24

Positive definite, 60

positive semidefinite, 60

strongly positive definite, 60

Queuing delay, 86, 325

instantaneous, 86, 103

Random error, 165

Random utility theory, 166

Recursive formula, 87, 183

Relaxation method, 80, 125, 154

double, 294

Riccati equation, 25

Round-off, 120

Route choice conditions, 109, 144

ideal DUO, 144 ideal SDUO, 175. instantaneous DUO, 109

instantaneous SDUO, 166

Route choice criteria, 355

Route travel times, 86, 87

mean instantaneous, 171 mean actual, 183

actual, 87

instantaneous, 86

Running time, 86, 103

Salvage cost, 21, 116

Saturation flow, 36

Signal controlled arterial, 340

Simultaneous travel choice, 229

Spill back constraints, 94, 322

State variable, 18, 83

State equation, 19, 84

Subject Index

Stochastic models, 161, 181

dispersion parameter, 165

dispersed route choice, 179

efficient route, 182

instantaneous SDUO, 161

ideal SDUO, 181 Gumbel distribution, 176 randomness assumptions, 162 perceived instantaneous travel

times, 163 mean instantaneous travel times,

163 perceived actual travel times, 164

mean actual travel times, 164

flow-independent instantaneous SDUO, 183

flow-independent ideal SDUO, 188

logit route choice, 166

logit route flow constraint, 176 variance, 166 entropy functions of route flows,

169

Stratification of travelers, 227, 249, 355

Subproblem variables, 121

Super destination, 129

Test networks, 114, 136, 200, 218

Time interval, 54

Time-optimal problems, 33, 326

Time period, 83, 116

Time-space network, 126

solving LP problems, 126 expansion, 131 dummy node, 132 one-to-one, 131 many-to-many, 133

Toll, 360

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Subject Index

bottleneck, 360 link and route, 360

area congestion, 360

Traffic control, 356

bilevel program, 357

Traffic How data, 364

Traffic prediction, 353

Transit, 3

APTS, 3 transit information center, 3

Transportation planning, 5, 361

Transversality conditions, 23

Traveler information, 365

Travel time, 86, 338

actual (future) link travel time, 86, 339

actual route travel time, 87, 339 dynamic travel ti"me, 86, 338

estimated link travel time, 90 instantaneous link travel time,

86, 338 instantaneous route travel time,

86 minimal actual route travel time,

87, 143 minimal instantaneous route

travel time, 86

Travel time function, 86, 338

for various purposes, 338 for longer horizon, 340 for short horizon, 346 for arterial, 340, 346 for freeway segment, 349

Total travel time, 325

Two-point boundary conditions, 23

Two-stage programs, 234

first stage, 230 second stage, 231

Unit route travel cost, 118

383

Upper level problems, 211, 233, 357

Used links, 101

Used routes, 101

User-equilibrium, 4

User-optimal, 4

Variance, 166

Variational inequality, 68, 243, 267, 291, 331, 335

definition, 68

existence, 72

uniqueness, 74

necessity, 246, 257, 270, 279, 295 sufficiency, 247, 257, 271, 279,

296

ideal route choice, 267

instantaneous route choice, 243 departure time/route choice, 291 link-cost-based, 261, 282, 301 link-time-based, 257, 278 multi-group, 252, 261, 275, 282 route-cost-based, 246, 275, 295 route-time-based, 246, 270, relaxation, 261, 283

Wardrop's UE, 4

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Author Index

Abdulaal M., 226

Abkowitz M., 8, 205

Akcelik R., 344, 345

Alfa A.S., 194, 201

Barcelo J., 8

Bard J.F., 82

Bazaraa M.S., 82

Beckmann M., 4, 328

Ben-Akiva M., 3, 8, 205

Bernstein D., 205, 254, 266, 311

Boyce D.E., 2, 4, 5, 8, 9, 226, 266, 311, 312

Bryson Jr., A.E., 52, 81

Burrow LA., 345

Canon M.D., 82

Carey M., 7, 97, 117, 118,335

Cascetta E., 7, 161

Cesari L., 82

Chang G.L., 7, 8, 336

Chatterjee A., 5

Chen M., 194, 201

Codina E., 8

Codelli D.K., 249

Cruz J.B. Jr., 43, 47, 52, 228

Cullum, Jr., C.D., 82

Cyna M., 205

Dafermos S.C., 4, 226, 266, 328

Daganzo C.F., 5, 97, 161, 201 311 351 ' ,

de Palma A., 8, 205, 328

Dial R.B., 5, 11, 164, 184, 201, 253

Fambro, D.B., 344

Fisk C., 161, 201

Florian M., 4, 5, 226

Frank M., 120, .216

Friesz :r.L., 2, 5, 7, 8, 117,205,254 266, 311 '

Ghali M., 6, 206, 311, 328

Greenshields B., 341

Hendrickson C., 8, 205 .

Herman R., 205

Ho J .K., 8, 335

Ho P.K., 7, 336

Ho Y.C., 52, 81

Hollis E.M., 344

Hu T., 6

Hurdle V.F., 6

Inaudi D., 7

Inouye H., 152

Janson B.N., 7, 8, 205,311

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386

J ayakrishnan R., 6

Kamien M.L., 52

Kaufman D.E., 6

Kaysi 1.,3

Kimber R.M., 344

Kinderlehrer D., 82

Kirk D.E., 52

Koutsopoulos H., 3

Kuhn H., 81

Kuo B.C., 82

Lafortune S., 6

LeBlanc L.J., 4, 8, 9, 120, 226, 311, 312

Lefevre C., 8, 205

Leventhal T., 135

Lieberman E.B., 94, -97

Lindsey R., 328

Litinas N., 8, 205

Lo H.K., 5

Luenberger D.G., 82

Luque F.J., 2, 7,117

Mahmassani H.S., 6, 8, 126, 205, 336

Marquis G., 7

McGuire C.B., 4, 328

McShane W.R., 342

Merchant D.K., 6, 7,117, 118,335

Messer C.J., 344

Morlok E.K., 4, 120

Mouskos K., 126

Nagurney A., 4, 73, 82, 266, 312

Author Index

Nemhauser G.L., 6, 7, 117, 118, 135, 335

Newell G.F., 311, 349, 351

Nguyen S., 4, 226

Niedringhaus W.P., 249

Plank E., 8, 205

Pierskalla W.P., 4, 120

Polak E., 82

Pontryagin L.S., 24

Powell W.B., 194, 201

Ran B., 7, 8, 9, 311, 312, 335

Rathi A.K., 5, 365

Richards S., 5

Roess R.P., 342

Rouphail N.M., 344, 345

Russak B.L, 52

Sage A.P., 52, 81

Santiago A.J., 365

Schwartz N.L., 52

Sengupta R., 6

Sheffi Y., 4, 5, 82, 90, 161, 165, 166, 194201

Sherali H.D., 82

Shetty C.M., 82

Shimazaki T., 7

Singh M.G., 52

Small K.A., 328

Smith M.J., 4, 6, 206, 254, 266, 311, 328

Smith R.L., 6

Smith T.E., 5, 8, 205, 254, 266, 311

Solanki R.S., 365

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Author Index

Sparrow F.T., 4

Stampacchia G., 82

Stackelberg von H., 43

Tabak D., 82

Takaba S., 346

Teply S., 344

Titli A., 52

Tobin R.L., 2, 5, 7, 8, 117, 205, 254, 266,311

Trotter, Jr. L., 135

Tucker A.W., 81

Van Aerde M., 6

Vythoulkas P.C., 7, 162

Wang P.T.R., 249

Wardrop J.G., 4

Webster F.V., 344

Wegmann F., 5

Wei C.H., 7, 336

White, III. C.C., 52, 81

Wie B.-W., 2, 5,7,8,117,205,254, 266,311

Wilson A.G., 226

Winsten C.B., 4, 328

Wolfe P., 120, 216

Yagar S., 6, 365

Young B.S., 249

387

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List of Figures

1.1 Structure of an Integrated APTSj ATMSj ATIS System. 1.2 A Hierarchy of Dynamic Route Choice Models 1.3 A Hierarchy of Dynamic Travel Choice Models 1.4 Logical Flowchart of the Chapters ...... .

2.1 Closed-Loop and Open-Loop Optimal Controls 2.2 Four-Leg Intersection .............. . 2.3 Cumulative Arrivals and Departures at the Intersection

3 9

12 14

22 36 39

4.1 Flow Variables for Link a .. . . . . . . . . . . . . 84 4.2 Flow Conservation at Node j . . . . . . . . . . . . 85 4.3 Cumulative Entering and Exiting Flows on Link a 88 4.4 Flow Propagation on Link a . 89 4.5 Example Network. . . . . . 91 4.6 Example of Spillback . . . . 95 4.7 Queuing Delay at Origin r . 97

5.1 Example Network. . . . . . 100 5.2 Dynamic User-Optimal Inflows and Travel Times 102 5.3 Example Network with Inflow. 106 5.4 Test Network . . . . . . . . . . . . . 114

6.1 Flowchart of the Solution Algorithm 126 6.2 Expansion for Link a for 3 Time Periods. 127 6.3 Expansion for Link a for 3 Time Periods (m is a destination) 128 6.4 Expansion for 3-Link Network for 3 Time Periods. 129 6.5 Expansion of Example Network (2 links) . . 130 6.6 Test Network . . . . . . . . . . . . . . . . . 136

7.1 Relationship of pr6(t) and Er6 (t) to 1I'r6(t) 7.2 Two-Link Network ......... . 7.3 Flowchart of the Solution Algorithm

8.1 Relation of F;6(t) and E;6(t) to 7J;6(t) 8.2 Toward Realistic SDUO Route Choice Models.

145 146 158

175 180

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390 LIST OF FIGURES

9.1 Flowchart of the Instantaneous Solution Algorithm. 196 9.2 Flowchart of the Ideal Solution Algorithm 199 9.3 Test Network. . . . . . . . . . . . . . 200

10.1 Bilevel Choice Program Formulation 208 10.2 Bonus/Penalty for Early/Late Arrival 210 10.3 Flowchart of the Solution Algorithm 217 lOA Test Network . . . . . . . . . . 218 10.5 Flow Propagation on Link 2-4 ... 223

11.1 Two-Stage Simultaneous Travel Choice Model . 229 11.2 Arrival Time Disutility. . . . . . . . . . . . . . 232 11.3 Decision Variables in the Two-Stage Travel Choice Program. 238

12.1 Example Grid Network. . . . . . . . 253

13.1 Example Network with Two Origins 287 13.2 Flowchart of the Double Relaxation Procedure 290

14.1 Arrival Time Disutility. . . . . . . . . . 293

15.1 Isoperimetric O-D Departure Condition 322 15.2 Optimal Assignment Time in DSO Route Choice Problem 325 15.3 Optimal Time Period in Time-Optimal Problem 328

16.1 Traffic on an Arterial Road Link. . . . . . . . . . 341

17.1 A Bilevel Program for Dynamic Traffic Prediction and Control 357 17.2 A Segregated Automated Highway System. . . . . . . . . . .. 361

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List of Tables

5.1 Parameters of Link Travel Time Functions. . . . . . . . . . .. 114 5.2 Required Flows from Origin 1 to Destination 4 . . . . . . . .. 114 5.3 Optimal Numbers of Vehicles, Inflows, Exit Flows and Travel

Times . . . . . . . . . . . . . . . . . . . . . 115 5.4 Dynamic User-Optimal Route Travel Times 115

6.1 Parameters of Link Cost Functions . . . . . 136 6.2 O-D Trip Table for Each Time Interval k 136 6.3 Optimal Trajectories of Link Flows and Travel Times 137 6.4 Comparison of Instantaneous Route Travel Times. 139

9.1 Required Flows from Origin 1 to Destination 4. . . 200 9.2 Parameters of Link Travel Time Functions for Instantaneous

Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 201 9.3 Parameters of Link Travel Time Functions for Ideal Model. .. 201 9.4 Optimal Link Flows and Travel Times for Instantaneous Model 202 9.5 Instantaneous Route Travel Times . . . . . . . . . . . 202 9.6 Optimal Link Flows and Travel Times for Ideal Model 203 9.7 Ideal Route Travel Times . . . . . . . . . . 203

10.1 Parameters of Link Travel Time Functions. 218 10.2 Departure Flow Patterns from Origin 1 to Destination 4 219 10.3 Optimal Link Flows and Travel Times for Initial O-D Flows. 221 10.4 Optimal Link Flows and Travel Times for Improved O-D Flows 222

11.1 Stratification of Travelers Based on Income and Age 227

12.1 Stratification of Travelers Based on Income and Age 249 12.2 Stratification of Travelers Based on Route Diversion Willingness 249 12.3 Stratification of Travelers Based on Driving Behavior . 250 12.4 Number of Nodes, Links and Routes . . . . . 253

17.1 Route Choice Criteria for Different Travelers 17.2 Groups of Travelers and Travel Choice Criteria

355 355