20180627 12450900 1.0 TRUE In 2007, the Virginia Department of Transportation (VDOT) developed a program called Strategically Targeted Affordable Roadway Solutions (STARS). The goal was to support the development of smaller, more affordable and short-range projects to address congestion bottleneck and safety hotspots throughout the state. The program provided study resources and relevant data for each of the nine VDOT districts. These resources were used to identify problem areas and develop a wide range of cost-effective solutions. This dataset includes only projects from STARS I phase, which includes projects from 2009 to 2011. Transportation VDOT Virginia STARS The dataset depicts the geographical location of the STARS I studies. TMPD, VDOT Disclaimer: Any person, organization, firm, corporation or other entity using this database does so at its own risk. The Virginia Department of Transportation accepts no liability for any loss suffered by any person, organization, firm, corporation, or other entity from the use of the information in this database. In addition, the Virginia Department of Transportation does not guarantee system availability and is not responsible for any losses associated with any system unavailability.VDOT's digital data files are for use in performing the official business of the Commonwealth of Virginia. VDOT Divisions set all policy on the allowable uses of this data. The representations of VDOT business data contained within are believed to be correct. This data is provided without any guarantee of accuracy, timeliness or completeness. No business decisions should be made based on this data without first validating its accuracy against the official Source System of Record (SSR). Users of this data are solely responsible for determining if it is appropriate for their application.Please report errors and omissions directly to the appropriate VDOT Division data owner. /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKzNf1uHQNJkvZYZrh8hIreEZkmc9EUep/pQBp0VWsLmS8sI LmW2ktnkQM0Mv3kPof8AP5U77Xb/AG77F5q/afL83y++zOM/TNFw2J6KKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigArL1rTdPvIYbu+sGu5LB/tEAjBMgcf3cEZJ9OhrU ooYDY38yNX2su4A7WGCPY+9QX8otrC5uQ8cTRwswldSQuATkgckDrgVO7pFG0kjKiKCzMxwAB1JN ZN1HB4hsDPY3okj2TRBQ2YZSQVIcfxAdvz5pXB3sE2vW9hpNhe3ReaG4VS1xBGfLUFd28gnIX8zy K1o5EmiSSNgyOAysDkEHoa4jw14j0jXL/UPB0Gizi101TBM8kIEBZSAVwSWXJJK7uoBOeK7hVCqF UAADAA7UwsLRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABUFx9r8yD7N5GzzP33 m5zswfu475x1qZiQpIBJA6DvWP4f1862t0kunXen3VpJ5c0Fyo7jIKsOGBH/AOrplBY2aKp32q6f pkM019eQQJDH5sm9wCqZxnHXGePrxT9Ov4dU063vrcP5M6CRN64OD0p3AL+wttTspLO8i823kxvT cRnBBHI56gVHJeWWmy2lmwEImysQWMhBjsSBheoxnqelXaxPEfhuPxJHaxTXdxDDDLvkjjYhZV7g 4I59D2yfWk77oLm0FUMzBQC3UgdaWq11FdNDGlnOsLLIhZpE37kB5HXqR3//AF1ZpgFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHN+LfBWleL7VFvUZbmHmGdDyp7ZHQjPb8 sVq6LbXdlolla3zxSXMMKxu0WdpwMcZ56Yq/RQAUUVzdj4wgvdduNP8AsdzHAhAivSh8mQ9CCSBt O4FR1yRSbSA6Siq95bPdRoqXM1uVkVy0WMsAc7TkHg1YpgFFFFABWdqt/eWAtmtdMlvkeUJN5Uiq 0Sn+LB+9z/icCtGigEFFFFABRRVLV4L650qeHTbpLW8cARzOm4JyM8fTNAIu0UighQCSSB1PeloA KKybXQ1tfEF7qy3lyftQUG23fugQAN2O546/WtakgCiql5qENi8ImSYrKW+dIyyoFUsSxHTgU+wv rbU7GG9tJPMt51DxvtI3A98HmmFgubl7eS3VbaaYSybGaPGIxgnc2T04qPVbx9P0u4vEEJMK7z50 nloBnklu2Bk1Hd2c9xq1hOPL+z2+9m+dw+8jAwBwRgnOfw71NbadbWtk9mqF4HLlklYybtxJIO7O RyaQGbZ3Lpq8CR6ibuzvkluI90ZYjlcBXHyhQD0PPPfIxuU2ONIYkiiRUjQBVVRgKB0AHYU6mht3 MW01m+uPE91pkuj3EFpDEXS9f7kpyBgcY7k9c8VtVXsWu2s42v44Y7k53rCxZBycYJAPTFWKBEc0 8NtE0s8qRRr1d2CgdupqSo5oIbmJop4kljbqjqGB79DUlACNnadoBOOATivOrzSNTtprvxVrkMl0 6sBHo1s7SRsvygbsggkHLcDsMHtXo1FJq407O4ikMoYZwRnkYqC+vrbTbKW8u5RFbwrudyCcD6Dm rFMlijnheGaNJInBVkdQQwPUEHrTELHIksayRsGRwGVh0IPenVzWq6pJ4WmhEWmatqkN7KzN9nAk FqAFAULxhcZIA9GrpQQRkHINK42goqvBZpb3FzMskzG4YMyvIWVcAD5QenSrFMQUUUUAFY97fTeH 9Anvb2Rr94mySiLGSGfAGOnAIGe+K2KKBphWfJqFx9sa3t9Onk8uWNZJXIRNjAkuhP3tvQj3rQoo EFFFFABVezsobGN44d+HkaVt7lvmY5PU8VYooAKKKKACiis/TbG4tLnUZJ7jzVuLkyxLlj5a7VG3 knuD0/8ArAA0KKKKACiiigAooooAKKKKAOfutK1u68TLM+qxHQDGyS6f5K5k3JtwWxnGfm6j0qW5 1y00fUbLRxZXmx1VEligZoox0VS34YrbopWB6hRRRTAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooA//9k=