Traffic Management

<p>Acknowledgments xvii</p>
<p>Preface&nbsp; xix</p>
<p>Introduction xxiii<br />Simon COHEN and George YANNIS</p>
<p>Part 1. Data Collection&nbsp; 1</p>
<p>Chapter 1. A Review of Statewide Traffic Data Collection, Processing, Projection and Quality Control 3<br />Rafiqul TAREFDER and James BROGAN</p>
<p>1.1. Introduction&nbsp; 3</p>
<p>1.2. Current traffic data collection in New Mexico 4</p>
<p>1.3. NMDOT data processing and reporting 9</p>
<p>1.4. Traffic data projection and quality control 10</p>
<p>1.5. Conclusions&nbsp; 17</p>
<p>1.6. Acknowledgments 17</p>
<p>1.7. Bibliography&nbsp; 18</p>
<p>Chapter 2. SYNCRO An Innovative Public Procurement of an Advanced Data Gathering System for Interurban Roads Based on its Technologies 19<br />Jean–Christophe MAISONOBE, Jean Daniel DEMOND, Giannicola MARENGO, Dolores ADAMSKI, Diego ALBESANO and Olivier LATOUILLE</p>
<p>2.1. Introduction&nbsp; 19</p>
<p>2.2. Elaboration of the SYNCRO technical vision: the SYNCRO functional program 21</p>
<p>2.3. A system to gather road data and to provide the current operational road management center with data 24</p>
<p>2.4. Impact and potential of the SYNCRO system&nbsp; 26</p>
<p>2.5. An innovative legal framework to implement three phases of the SYNCRO project&nbsp; 27</p>
<p>2.6. Conclusion 30</p>
<p>2.7. Acknowledgments 32</p>
<p>Chapter 3. Tailoring a Reference Model for C–ITS Architectures and Using a DATEX II Profile to Communicate Traffic Signal Information 33<br />J&ouml;rg FREUDENSTEIN and Ian CORNWELL</p>
<p>3.1. Introduction 33</p>
<p>3.2. Architecture of intelligent transport systems 34</p>
<p>3.3. A generic C–ITS architecture 36</p>
<p>3.4. A tailored architecture for the use case Traffic Light Phase Assistant 39</p>
<p>3.5. A DATEX II profile to communicate traffic light information 41</p>
<p>3.6. Summary&nbsp; 43</p>
<p>3.7. Bibliography 44</p>
<p>Chapter 4. Sensor City Mobility: The City of Assen as a Living Lab for Smart Mobility Solutions Using Sensor Data 45<br />Jan BURGMEIJER, Janiek DE KRUIJFF, Ernst Jan VAN ARK, Gerdien KLUNDER and Diana VONK NOORDEGRAAF</p>
<p>4.1. Introduction 45</p>
<p>4.2. Architecture, sensor network and technologies used 48</p>
<p>4.3. Use cases for mobility 51</p>
<p>4.4. Modeling 54</p>
<p>4.5. Preliminary results and evaluation of the experiment 57</p>
<p>4.6. Acknowledgments 58</p>
<p>4.7. Bibliography 59</p>
<p>Part 2. Traffic Modeling and Simulation&nbsp; 61</p>
<p>Chapter 5. Forecasting Capabilities of a Micro–Simulation Method for Trip Generation&nbsp; 63<br />Jorge CABRERA DELGADO and Patrick BONNEL</p>
<p>5.1. Introduction&nbsp; 63</p>
<p>5.2. Methodology&nbsp; 65</p>
<p>5.3. Results 72</p>
<p>5.4. Conclusion 75</p>
<p>5.5. Acknowledgments 75</p>
<p>5.6. Bibliography 75</p>
<p>Chapter 6. Modeling and Solving International Journey Planning Problems 79<br />Konstantinos N. ANDROUTSOPOULOS and Konstantinos G. ZOGRAFOS</p>
<p>6.1. Introduction 79</p>
<p>6.2. Defining international itinerary planning problems 80</p>
<p>6.3. Modeling issues 83</p>
<p>6.4. Previous related work 85</p>
<p>6.5. Algorithmic approach 87</p>
<p>6.6. Concluding remarks 92</p>
<p>6.7. Acknowledgments 92</p>
<p>6.8. Bibliography 92</p>
<p>Chapter 7. Optimized Intermodal Roundtrips in Transport Networks 95<br />Cec&iacute;lia VALE and Isabel RIBEIRO</p>
<p>7.1. Introduction&nbsp; 95</p>
<p>7.2. Model description 96</p>
<p>7.3. Computational applications 98</p>
<p>7.4. Conclusions&nbsp; 102</p>
<p>7.5. Bibliography&nbsp; 103</p>
<p>Chapter 8. Modeling Traffic Hindrance Caused by Road Construction as Part of a Multicriteria Assessment Framework 105<br />Eric VAN BERKUM and Henny TER HUERNE</p>
<p>8.1. Introduction 105</p>
<p>8.2. Framework 106</p>
<p>8.3. Route choice during road works 111</p>
<p>8.4. Example 115</p>
<p>8.5. Conclusion 117</p>
<p>8.6. Acknowledgments 118</p>
<p>8.7. Bibliography&nbsp; 118</p>
<p>Part 3. Traffic Management, Monitoring and Routing 121</p>
<p>Chapter 9. Behavioral Responses to Traffic Congestion Findings from Paris, S&atilde;o Paulo and Mumbai 123<br />Gaele LESTEVEN</p>
<p>9.1. Introduction 123</p>
<p>9.2. Methodology 127</p>
<p>9.3. Results 130</p>
<p>9.4. Conclusions 134</p>
<p>9.5. Acknowledgments 136</p>
<p>9.6. Bibliography&nbsp; 136</p>
<p>Chapter 10. Empirical Analysis of Lane Changing Behavior at a Freeway Weaving Section 139<br />Florian MARCZAK, Winnie DAAMEN and Christine BUISSON</p>
<p>10.1. Introduction 139</p>
<p>10.2. Data collection site and technique 142</p>
<p>10.3. Methodology and definitions 143</p>
<p>10.4. Results 145</p>
<p>10.5. Discussion and conclusion 149</p>
<p>10.6. Bibliography 150</p>
<p>Chapter 11. Applying and Testing a New Generation Traffic Management with Multi–objectives 153<br />Martijn DE KIEVIT and Yusen CHEN</p>
<p>11.1. Introduction 153</p>
<p>11.2. Definitions 155</p>
<p>11.3. Literature review 156</p>
<p>11.4. Methodology 159</p>
<p>11.5. Application cases and results 159</p>
<p>11.6. Concluding remarks 164</p>
<p>11.7. Acknowledgments 164</p>
<p>11.8. Bibliography 165</p>
<p>Chapter 12. ON–TIME: A Framework for Integrated Railway Network Operation Management 167<br />Thomas ALBRECHT, and Meena DASIGI</p>
<p>12.1. Introduction 167</p>
<p>12.2. Real–time perturbation management 171</p>
<p>12.3. Train speed control 175</p>
<p>12.4. Demonstration and validation approach 178</p>
<p>12.5. Conclusions 180</p>
<p>12.6. Acknowledgments 180</p>
<p>12.7. Bibliography 180</p>
<p>Chapter 13. A Multi–Lane Capacity Model Designed for Variable Speed Limit Applications 183<br />Aur&eacute;lien DURET</p>
<p>13.1. Background 183</p>
<p>13.2. MLC model 186</p>
<p>13.3. Meso–LWR model and multi–lane capacity model 192</p>
<p>13.4. Application 194</p>
<p>13.5. Discussion 199</p>
<p>13.6. Acknowledgments 200</p>
<p>13.7. Bibliography 200</p>
<p>Chapter 14. Evaluation Parameters of Re–routing Strategy 203<br />Vladimir ZYRYANOV and Anastasia FEOFILOVA</p>
<p>14.1. Introduction 203</p>
<p>14.2. Simulation framework 205</p>
<p>14.3. Determination of the dynamic re–routing start based on traffic flow conditions 209</p>
<p>14.4. Conclusion 214</p>
<p>14.5. References 215</p>
<p>Part 4. Travel Information 217</p>
<p>Chapter 15. Pre–Trip Road Information Impact Assessment: A Literature Review 219<br />Sylvain BELLOCHE, Charlotte PIERREFEU and Caroline SORAND</p>
<p>15.1. Introduction 219</p>
<p>15.2. Pre–trip road information content and broadcasting media 220</p>
<p>15.3. Determining factors for user choice 223</p>
<p>15.4. Pre–trip road information impacts 225</p>
<p>15.5. Conclusions and discussion 231</p>
<p>15.6. Bibliography 232</p>
<p>Chapter 16. Transferability Study on Full–scale Implementation of Real–time Passenger Information 235<br />Mitja KLEMENCIC, Vlasta RODO EK, Marko CELAN and Marjan LEP</p>
<p>16.1. Introduction 235</p>
<p>16.2. RTPI testing in Maribor 236</p>
<p>16.3. Benefits of the RTPI system 238</p>
<p>16.4. Cost benefit analysis and RTPI system 240</p>
<p>16.5. Mobility toolbox as transferability tool 246</p>
<p>16.6. Conclusion 248</p>
<p>16.7. Acknowledgments 248</p>
<p>16.8. Bibliography 249</p>
<p>Chapter 17. Excess Commuting and Commuting Economy: Peak and Off–Peak Variation in Travel Efficiency Measures 251<br />Enda MURPHY</p>
<p>17.1. Introduction . 251</p>
<p>17.2. Excess commuting, commuting economy and off–peak travel 252</p>
<p>17.3. Data and methods 256</p>
<p>17.4. Results 259</p>
<p>17.5. Conclusions and limitations 264</p>
<p>17.6. Bibliography 265</p>
<p>Chapter 18. Deployment of Interoperable Cross–Border Multimodal Traveler Information in Central Europe 267<br />Gerhard MENZEL, Martin B&Ouml;HM and Katharina ZWICK</p>
<p>18.1. Introduction 267</p>
<p>18.2. The EDITS concept 269</p>
<p>18.3. Conclusion 274</p>
<p>18.4. Bibliography 275</p>
<p>Part 5. Assessment and Impacts 277</p>
<p>Chapter 19. The Impacts of Cooperative raffic Systems on Safety, Environment and Travel Times: A Literature Survey 279<br />Isabela MOCANU, Philippe NITSCHE and Kerry MALONE</p>
<p>19.1. Introduction 279</p>
<p>19.2. Description of systems and bundles 281</p>
<p>19.3. Reviewed literature 283</p>
<p>19.4. Methodology 284</p>
<p>19.5. Results 287</p>
<p>19.6. Conclusions and recommendations 289</p>
<p>19.7. Acknowledgments 290</p>
<p>19.8. Bibliography 291</p>
<p>Chapter 20. The Impact of Navigation Support and Traffic Information on Distance–keeping Behavior 293<br />Aikaterini TOULIOU, Evangelia GAITANIDOU and Evangelos BEKIARIS</p>
<p>20.1. Introduction 293</p>
<p>20.2. Methods 296</p>
<p>20.3. Results 299</p>
<p>20.4. Discussion 302</p>
<p>20.5. Bibliography 304</p>
<p>Chapter 21. Impact Evaluation of Traffic Performance and Road Safety: A Case Study on an Urban Motorway in France 307<br />Simon COHEN and Zoi CHRISTOFOROU</p>
<p>21.1. Introduction 307</p>
<p>21.2. The site and the its application 308</p>
<p>21.3. Evaluation of the impact on traffic 310</p>
<p>21.4. Road safety implications 313</p>
<p>21.5. Discussion 315</p>
<p>21.6. Conclusions 316</p>
<p>21.7. Bibliography 317</p>
<p>Chapter 22. Assessment of the Main New Travel–times Calculation Technologies on Lyon East Ring Road 319<br />Eric PURSON, Alexis BACELAR, Eric KLEIN, Bruno LEVILLY and Fabrice RECLUS</p>
<p>22.1. Introduction 319</p>
<p>22.2. The trial site 321</p>
<p>22.3. Assessed technologies 323</p>
<p>22.4. Implemented methodology 324</p>
<p>22.5. Innovative administrative procedure 328</p>
<p>22.6. Conclusion 329</p>
<p>22.7. Acknowledgments 329</p>
<p>22.8. Bibliography 329</p>
<p>Chapter 23. Rail Externalities: Assessing the Social Cost of Rail Congestion 331<br />Mar&iacute;a P&Eacute;REZ HERRERO, Julien BRUNEL and Gregoire MARLOT</p>
<p>23.1. Introduction 331</p>
<p>23.2. Related literature 332</p>
<p>23.3. The model and the econometric strategy 335</p>
<p>23.4. The data set 336</p>
<p>23.5. Results 338</p>
<p>23.6. Conclusions 341</p>
<p>23.7. Acknowledgments 342</p>
<p>23.8. Bibliography 342</p>
<p>List of Authors 345</p>
<p>Index 349</p>