California Partners for Advanced Transportation Technology
Parent: Institute of Transportation Studies at UC Berkeley
eScholarship stats: Breakdown by Item for May through August, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 1qr48108 | Determining the Effectiveness of HOV Lanes | 819 | 203 | 616 | 24.8% |
| 67f0v3zf | Development of a Heavy-Duty Diesel Modal Emissions and Fuel Consumption Model | 769 | 129 | 640 | 16.8% |
| 8hg3b55r | Conceptual Development and Performance Assessment for the Deployment Staging of Advanced Vehicle Control and Safety Systems | 769 | 130 | 639 | 16.9% |
| 3s7751sb | Reimagining Sensor Deployment | 641 | 369 | 272 | 57.6% |
| 92j590p6 | High Occupancy Vehicle/Toll Lanes: How Do They Operate and Where Do They Make Sense? | 544 | 32 | 512 | 5.9% |
| 7jf9n5wm | Cooperative Adaptive Cruise Control (CACC) for Truck Platooning: Operational Concept Alternatives | 514 | 149 | 365 | 29.0% |
| 9w53q5xq | Dynamics in Behavioral Adaptation to a Transportation Innovation: A Case Study of Carlink-A Smart Carsharing System | 511 | 27 | 484 | 5.3% |
| 9pz309w7 | The Cell Transmission Model: Network Traffic | 504 | 101 | 403 | 20.0% |
| 2mf058rd | Modernization of Center-to-Center Data Communication Standards: Sample Implementation Administration and User Guide | 501 | 313 | 188 | 62.5% |
| 6kc7m4jr | Demonstration of Automated Heavy-Duty Vehicles | 479 | 402 | 77 | 83.9% |
| 6j93p90t | Freeway Performance Measurement System (PeMS) | 453 | 45 | 408 | 9.9% |
| 0b6612tk | The Cell Transmission Model. Part I: A Simple Dynamic Representation Of Highway Traffic | 431 | 268 | 163 | 62.2% |
| 4cw749bp | New Data and Methods for Estimating Regional Truck Movements | 430 | 248 | 182 | 57.7% |
| 64g416gb | Improving the Traffic Census and Highway Performance Monitoring System (HPMS) Programs | 404 | 172 | 232 | 42.6% |
| 1cc649wh | Drivers’ Responses to Eco-driving Applications: Effects on Fuel Consumption and Driving Safety | 389 | 216 | 173 | 55.5% |
| 5j4615sw | Paramics API Development Document for Actuated Signal, Signal Coordination and Ramp Control | 369 | 80 | 289 | 21.7% |
| 8ph187fw | The Aerodynamic Performance Of Platoons: A Final Report | 361 | 96 | 265 | 26.6% |
| 1jr98590 | Roadway Powered Electric Vehicle Project Track Construction And Testing Program Phase 3D | 360 | 220 | 140 | 61.1% |
| 3zs8d1v0 | San Francisco Bay Area US-101 Existing Conditions, ITS Assets, and Active Transportation and Demand Management Assessment | 356 | 220 | 136 | 61.8% |
| 1xw8q5j1 | Connected Corridors: I-210 Aimsun Microsimulation Model | 354 | 173 | 181 | 48.9% |
| 6d34611t | Rest Areas – Reducing Accidents Involving Driver Fatigue | 339 | 161 | 178 | 47.5% |
| 3bk7x574 | Evaluation of Coordinated Ramp Metering (CRM) Systems in California | 337 | 164 | 173 | 48.7% |
| 54k592hv | Liability and Regulation of Autonomous Vehicle Technologies | 326 | 54 | 272 | 16.6% |
| 06q524c5 | Final Report: Mobile Surveillance and Wireless Communication Systems Field Operational Test Volume 2: FOT Objectives, Organization, System Design, Results, Conclusions and Recommendations | 310 | 75 | 235 | 24.2% |
| 3zh107m3 | Collision Avoidance Analysis for Lane Changing and Merging | 309 | 163 | 146 | 52.8% |
| 7bm1r1k8 | Multiple ICM Management: Task ID 3706 (65A0764), Final Report | 304 | 207 | 97 | 68.1% |
| 3m89p611 | Using Cooperative Adaptive Cruise Control (CACC) to Form High-Performance Vehicle Streams | 302 | 69 | 233 | 22.8% |
| 2gd0t4cd | Improved Analysis Methodologies and Strategies for Complete Street | 298 | 162 | 136 | 54.4% |
| 0zr808bm | Effectiveness of California’s High Occupancy Vehicle (HOV) System | 288 | 69 | 219 | 24.0% |
| 1r7227tt | A Combined Quantitative and Qualitative Approach to Planning for Improved Intermodal Connectivity at California Airports | 284 | 58 | 226 | 20.4% |
| 2jp4n9dj | Tools for Demand-Supply Assessment of EV Charging Infrastructure and Strategy Evaluation of Smart Charging | 282 | 75 | 207 | 26.6% |
| 7m97h15t | Estimating Pedestrian Accident Exposure | 281 | 109 | 172 | 38.8% |
| 2kh944sh | I-880 Corridor Management Plan Demonstration | 280 | 228 | 52 | 81.4% |
| 726964qq | Reduce Emissions and Improve Traffic Flow Through Collaborative Autonomy | 279 | 90 | 189 | 32.3% |
| 1jf6j37t | Incident Management: Process Analysis and Improvement | 278 | 239 | 39 | 86.0% |
| 29v570mm | Fuel Saving Achieved in the Field Test of Two Tandem Trucks | 275 | 56 | 219 | 20.4% |
| 4bt6h98r | Freeway Performance Measurement System (PeMS) Version 4 | 274 | 67 | 207 | 24.5% |
| 86z6h1b1 | String Stability Of Interconnected Systems: An Application To Platooning In Automated Highway Systems | 271 | 167 | 104 | 61.6% |
| 52m292mq | Promoting Research Results and New Technologies: Making the Case for Accelerated Deployment | 270 | 208 | 62 | 77.0% |
| 6j03g652 | Field Experiments Demonstrate Fuel Savings for Close-Following | 269 | 88 | 181 | 32.7% |
| 524799xg | Mobile Millennium: GPS Mobile Phones as Traffic Probes, California Networked Traveler - Safe Trip 21 Phase II | 268 | 183 | 85 | 68.3% |
| 7f96m702 | San Diego I-15 Demonstration Integrated Corridor Management System: PATH Report on Stage 3: Site Demonstration and Evaluation | 260 | 134 | 126 | 51.5% |
| 1s3931rn | Vehicle To Roadside Communications Study | 257 | 54 | 203 | 21.0% |
| 90r9t9fb | Interim Report: Compliance and Commercial Vehicle Operators – A Systems Evaluation of the Problem and Virtual Solutions | 255 | 193 | 62 | 75.7% |
| 56q9c13s | Travel Times on Changeable Message Signs | 253 | 172 | 81 | 68.0% |
| 4pn0m283 | Traffic Surveillance by Wireless Sensor Networks: Final Report | 249 | 138 | 111 | 55.4% |
| 0b68h9cq | Travel of Diverse Populations: Literature Review | 247 | 45 | 202 | 18.2% |
| 99h759nr | Mobile Century Final Reportfor TO 1021 and TO 1029: A Traffic Sensing Field Experiment Using GPS Mobile Phones | 247 | 190 | 57 | 76.9% |
| 2r0685zr | Use of Detection Data to PromotePerformance Measurement (PeMS Training) | 246 | 177 | 69 | 72.0% |
| 0sm5632n | Effects of Cooperative Adaptive Cruise Control on Traffic Flow: Testing Drivers' Choices of Following Distances | 245 | 32 | 213 | 13.1% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.