| 000 | 00724 a2200253 4500 | ||
|---|---|---|---|
| 001 | 353110 | ||
| 020 | _a978-0-309-28671-8 | ||
| 041 | _aeng | ||
| 080 | _aLTRB TRR 2344 : vol. - 2 : 2013 | ||
| 245 | _aTravel demand forecating : vol. - 2 | ||
| 250 | _a | ||
| 260 | _aWashington, D.C. | ||
| 260 | _bTRB | ||
| 260 | _c2013 | ||
| 300 | _a151 p. | ||
| 300 | _c28 cm | ||
| 856 | _u | ||
| 490 | _aTRB TRR 2344 : vol. - 2 : 2013 | ||
| 700 | _a | ||
| 650 | _a | ||
| 650 | _aCivil | ||
| 650 | _aBayesian updating attributes, social-adoption in design and analysis, means of public transport smart card data, Kalman filter ,Travel demand simulation, Pirandello and urbasium applications. Trip generation model | ||
| 942 | _cPP | ||
| 942 | _2UDC | ||
| 999 |
_c221076 _d221075 |
||